Introduction to Data Science in Python

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Below are the top discussions from Reddit that mention this online Coursera course from University of Michigan.

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library.

Python Programming Numpy Pandas Data Cleansing

Next cohort starts June 15. Accessible for free. Completion certificates are offered.

Affiliate disclosure: Please use the blue and green buttons to visit Coursera if you plan on enrolling in a course. Commissions Reddsera receives from using these links will keep this site online and ad-free. Reddsera will not receive commissions if you only use course links found in the below Reddit discussions.

Taught by
Christopher Brooks

Offered by
University of Michigan

Reddit Posts and Comments

1 posts • 30 mentions • top 23 shown below

r/learnpython • comment
35 points • haragoshi

Phenomenal free course on python and pandas. You can watch lectures and submit assignments for free. It got me started on the path of using pandas and python for a lot of my data diving.

https://www.coursera.org/learn/python-data-analysis

It's the first of a 4 class certificate. The later classes require payment to get peer-grading of homework, so while I tried the second one i don't recommend it as eagerly.

If you like the course and want to put a certificate of completion on your linked in profile (like i did) you can pay $80.

r/learnprogramming • post
3319 points • ______DEADPOOL______
Here's a SANITIZED list of 530+ free online programming/CS courses (MOOCs) with feedback(i.e. exams/homeworks/assignments) that you can start this month (December 2016)

Preamble:

So, a submission on this sub to a huge list of MOOC courses caught my attention today as I've been trying to learn programming myself. So I look into the comments first to see what courses people were taking, when a comment caught my attention that says: "This is a great resouces but beware, OP ran some of the links through some pay site so that he profits out of traffic and hid this using bit.ly links...."

So I decided to investigate further, and sure enough. uBlock Origin blocked the first link that I clicked. It turns out, pretty much every link to the course on the post is a bit.ly link hiding a reference link to a spam site linksynergy.com. The url itself has reference id and everything. Full link:

http://click.linksynergy.com/fs-bin/click?id=SAyYsTvLiGQ&u1=reddit_learnprog_dec&subid=&offerid=451430.1&type=10&tmpid=18061&RD_PARM1=https://www.coursera.org/learn/game-programming

I posted this in the comment and reported the post for spamming, thought nothing more of it, and move on. In my goofing off, I ended up installing NVIDIA CodeWorks, and the damn installer turned out to be a download manager for installer to a bunch of stuffs it needed to install. So, I let it run and while it downloads, I thought I'd fire up Overwatch and try to climb out of gold rank, when for some reason, I thought about the MOOC post again.

Hiding a reference link using bit.ly is not only spamming, but it's also unethical because bit.ly tracks where clicks come from and the whole practice preys on the innocent who just wanted to learn some programming stuffs.

So I decided to go through the links and sanitized the bit.ly and removed all the spam links and replace it with direct links to each of the course.

Over the course of cleaning up the links, I found that OP feed all their links through two spam sites that ublock origin blocked:

The first one is the linksynergy site as I've mentioned before.

http://click.linksynergy.com/fs-bin/click?id=SAyYsTvLiGQ&u1=reddit_learnprog_dec&subid=&offerid=451430.1&type=10&tmpid=18061&RD_PARM1=https://www.coursera.org/learn/game-programming

The second one is through awin1.com

http://www.awin1.com/awclick.php?gid=295463&mid=6798&awinaffid=301045&linkid=599979&clickref=&p=https://www.edx.org/course/introduction-devops-transforming-linuxfoundationx-lfs161x

I hope this sort of shady spamming behavior is not tolerated in this sub, and doesn't happen again. But just in case another post comes up again next month, would someone be so kind as to make a bit.ly expander plugin for chrome or something to automate this cleanup without exposing the user's location, and clicking on the reference, etc. I didn't want to run this through python in case something bad happens and some dumb protocol got exposed or whatever.

Anyway, here's the full sanitized list. I've left the links bare so you can see this list has not been compromised. And if you'll excuse me, I'm going to run spybot on my system now.

Happy learning. GLHF.

BEGINNER25

Course Name|Start Date|Length in weeks|Rating :--|:--:|:--:|:--:|:--: Web Applications for Everybody https://www.wa4e.com via Others|Self paced|NA|NA Python for Everybody https://www.py4e.com - Exploring Information via Others|Self paced|NA|NA NEW Swift for Beginners https://www.udacity.com/course/swift-for-beginners--ud1022 via Udacity|Self paced|NA|NA NEW Android for Beginners https://www.udacity.com/course/android-for-beginners--ud834 via Udacity|Self paced|NA|NA NEW Introduction to R https://www.datacamp.com/courses/free-introduction-to-r via Datacamp|Self paced|NA|NA NEW Intro to Python for Data Science https://www.datacamp.com/courses/intro-to-python-for-data-science via Datacamp|Self paced|NA|NA Introduction to the Internet of Things and Embedded Systems https://www.coursera.org/learn/iot via Coursera|5th Dec|4|3.7★ CODAPPS: Coding mobile apps for entrepreneurs https://www.coursera.org/learn/codapps via Coursera|5th Dec|8|5★ How To Create a Website in a Weekend! Project-Centered Course https://www.coursera.org/learn/how-to-create-a-website via Coursera|5th Dec|3|5★ Ruby on Rails: An Introduction https://www.coursera.org/learn/ruby-on-rails-intro via Coursera|5th Dec|3|3.1★ Build a Modern Computer from First Principles: From Nand to Tetris Project-Centered Course https://www.coursera.org/learn/build-a-computer via Coursera|5th Dec|6|4.8★ HTML, CSS and JavaScript https://www.coursera.org/learn/html-css-javascript via Coursera|5th Dec|3|4.1★ Introduction to HTML5 https://www.coursera.org/learn/html via Coursera|5th Dec|3|4.1★ Code Yourself! An Introduction to Programming https://www.coursera.org/learn/intro-programming via Coursera|5th Dec|5|4.3★ Introduction to CSS3 https://www.coursera.org/learn/introcss via Coursera|5th Dec|4|4.6★ HTML, CSS, and Javascript for Web Developers https://www.coursera.org/learn/html-css-javascript-for-web-developers via Coursera|5th Dec|5|5★ Python Programming: A Concise Introduction https://www.coursera.org/learn/python-programming-introduction via Coursera|5th Dec|NA|NA Usable Security https://www.coursera.org/learn/usable-security via Coursera|12th Dec|7|2.9★ An Introduction to Interactive Programming in Python Part 2 https://www.coursera.org/learn/interactive-python-2 via Coursera|12th Dec|4|4.8★ Programming Foundations with JavaScript, HTML and CSS https://www.coursera.org/learn/duke-programming-webvia Coursera|12th Dec|4|3.8★ Introduction to Web Development https://www.coursera.org/learn/web-development via Coursera|12th Dec|NA|NA An Introduction to Interactive Programming in Python Part 1 https://www.coursera.org/learn/interactive-python-1 via Coursera|12th Dec|5|4.9★ Creative Programming for Digital Media & Mobile Apps https://www.coursera.org/learn/digitalmedia via Coursera|19th Dec|NA|4★ Learn to Program: The Fundamentals https://www.coursera.org/learn/learn-to-programvia Coursera|19th Dec|10|4.8★ Internet History, Technology, and Security https://www.coursera.org/learn/internet-history via Coursera|26th Dec|10|4.6★

INTERMEDIATE156

Course Name|Start Date|Length in weeks|Rating :--|:--:|:--:|:--:|:--: NEW Minecraft, Coding and Teaching https://www.edx.org/course/minecraft-coding-teaching-uc-san-diegox-ltm1xvia edX|Self paced|NA|NA VR Software Development https://www.udacity.com/course/vr-software-development--ud1014 via Udacity|Self paced|NA|NA NEW Swift for Developers https://www.udacity.com/course/swift-for-developers--ud1025 via Udacity|Self paced|NA|NA NEW Introduction to DevOps: Transforming and Improving Operations https://www.edx.org/course/introduction-devops-transforming-linuxfoundationx-lfs161x via edX|Self paced|NA|NA Algorithms, Part II https://www.coursera.org/learn/java-data-structures-algorithms-2 via Coursera|1st Dec|6|4.8★ Software Defined Networking https://www.coursera.org/learn/sdn via Coursera|1st Dec|NA|4.2★ NEW Probabilistic Graphical Models 3: Learning https://www.coursera.org/learn/probabilistic-graphical-models-3-learning via Coursera|1st Dec|NA|NA Single Page Web Applications with AngularJS https://www.coursera.org/learn/single-page-web-apps-with-angularjsvia Coursera|5th Dec|NA|NA Approximation Algorithms Part I https://www.coursera.org/learn/approximation-algorithms-part-1 via Coursera|5th Dec|5|5★ Managing Big Data with MySQL https://www.coursera.org/learn/analytics-mysql via Coursera|5th Dec|5|3.8★ Advanced Algorithms and Complexity https://www.coursera.org/learn/advanced-algorithms-and-complexity via Coursera|5th Dec|NA|NA Ruby on Rails Web Services and Integration with MongoDB https://www.coursera.org/learn/ruby-on-rails-web-services-mongodb via Coursera|5th Dec|4|4.8★ Advanced Styling with Responsive Design https://www.coursera.org/learn/responsivedesignvia Coursera|5th Dec|4|4.7★ Foundations of Objective-C App Development https://www.coursera.org/learn/objective-cvia Coursera|5th Dec|4|3★ Cloud Computing Concepts, Part 1 https://www.coursera.org/learn/cloud-computingvia Coursera|5th Dec|5|2.6★ Biology Meets Programming: Bioinformatics for Beginners https://www.coursera.org/learn/bioinformatics via Coursera|5th Dec|4|5★ The Arduino Platform and C Programming https://www.coursera.org/learn/arduino-platformvia Coursera|5th Dec|4|3.3★ App Design and Development for iOS https://www.coursera.org/learn/ios-app-design-development via Coursera|5th Dec|5|3★ Data Visualization https://www.coursera.org/learn/datavisualization via Coursera|5th Dec|4|3.2★ Rails with Active Record and Action Pack https://www.coursera.org/learn/rails-with-active-record via Coursera|5th Dec|4|4★ Graph Search, Shortest Paths, and Data Structures https://www.coursera.org/learn/algorithms-graphs-data-structures via Coursera|5th Dec|NA|NA The Raspberry Pi Platform and Python Programming for the Raspberry Pi https://www.coursera.org/learn/raspberry-pi-platform via Coursera|5th Dec|4|3.5★ Introduction to Spreadsheets and Models https://www.coursera.org/learn/wharton-introduction-spreadsheets-models via Coursera|5th Dec|4|4.7★ Responsive Website Basics: Code with HTML, CSS, and JavaScript https://www.coursera.org/learn/website-coding via Coursera|5th Dec|4|3.9★ Framework for Data Collection and Analysis https://www.coursera.org/learn/data-collection-framework via Coursera|5th Dec|NA|3.5★ Functional Program Design in Scala https://www.coursera.org/learn/progfun2 via Coursera|5th Dec|NA|NA Software Processes and Agile Practices https://www.coursera.org/learn/software-processes-and-agile-practices via Coursera|5th Dec|4|4.3★ Introduction to Software Product Management https://www.coursera.org/learn/introduction-to-software-product-managementvia Coursera|5th Dec|2|4.2★ Client Needs and Software Requirements https://www.coursera.org/learn/client-needs-and-software-requirements via Coursera|5th Dec|4|4.3★ Agile Planning for Software Products https://www.coursera.org/learn/agile-planning-for-software-products via Coursera|5th Dec|4|3★ Reviews & Metrics for Software Improvements https://www.coursera.org/learn/reviews-and-metrics-for-software-improvements via Coursera|5th Dec|4|NA Getting Started: Agile Meets Design Thinking https://www.coursera.org/learn/getting-started-agilevia Coursera|5th Dec|5|5★ Big Data Modeling and Management Systems https://www.coursera.org/learn/big-data-management via Coursera|5th Dec|NA|NA Best Practices for iOS User Interface Design https://www.coursera.org/learn/ui via Coursera|5th Dec|4|5★ Interfacing with the Arduino http://bit.ly/2gXagqZ via Coursera|5th Dec|4|4★ Communicating Data Science Results https://www.coursera.org/learn/data-results via Coursera|5th Dec|3|1★ Java Programming: Principles of Software Design https://www.coursera.org/learn/java-programming-design-principles via Coursera|5th Dec|4|4.7★ Object Oriented Programming in Java https://www.coursera.org/learn/object-oriented-java via Coursera|5th Dec|6|4.8★ Документы и презентации в LaTeX Introduction to LaTeX https://www.coursera.org/learn/latex via Coursera|5th Dec|5|NA Cloud Networking https://www.coursera.org/learn/cloud-networking via Coursera|5th Dec|5|4.3★ Web Application Development with JavaScript and MongoDB https://www.coursera.org/learn/web-application-development via Coursera|5th Dec|4|4.2★ Interfacing with the Raspberry Pi https://www.coursera.org/learn/raspberry-pi-interface via Coursera|5th Dec|4|1★ Data Manipulation at Scale: Systems and Algorithms https://www.coursera.org/learn/data-manipulation via Coursera|5th Dec|4|2.5★ Algorithmic Toolbox https://www.coursera.org/learn/algorithmic-toolbox via Coursera|5th Dec|5|4.7★ Toward the Future of iOS Development with Swift https://www.coursera.org/learn/iosswift via Coursera|5th Dec|4|NA Data Structures https://www.coursera.org/learn/data-structures via Coursera|5th Dec|4|2★ Server-side Development with NodeJS https://www.coursera.org/learn/server-side-development via Coursera|5th Dec|4|5★ Front-End JavaScript Frameworks: AngularJS https://www.coursera.org/learn/angular-js via Coursera|5th Dec|4|3.8★ Text Retrieval and Search Engines https://www.coursera.org/learn/text-retrieval via Coursera|5th Dec|4|3.2★ Interactivity with JavaScript https://www.coursera.org/learn/javascript via Coursera|5th Dec|4|4.3★ Cybersecurity and the Internet of Things https://www.coursera.org/learn/iot-cyber-security via Coursera|5th Dec|NA|NA Front-End Web UI Frameworks and Tools https://www.coursera.org/learn/web-frameworks via Coursera|5th Dec|4|4.3★ Managing an Agile Team https://www.coursera.org/learn/agile-team-management via Coursera|5th Dec|NA|2★ R Programming https://www.coursera.org/learn/r-programming via Coursera|5th Dec|4|2.7★ The Data Scientist’s Toolbox https://www.coursera.org/learn/data-scientists-toolsvia Coursera|5th Dec|4|3.2★ Getting and Cleaning Data https://www.coursera.org/learn/data-cleaning via Coursera|5th Dec|4|3.4★ Practical Machine Learning https://www.coursera.org/learn/practical-machine-learning via Coursera|5th Dec|4|3.4★ Exploratory Data Analysis https://www.coursera.org/learn/exploratory-data-analysis via Coursera|5th Dec|4|3.8★ Regression Models https://www.coursera.org/learn/regression-models via Coursera|5th Dec|4|2.6★ Statistical Inference https://www.coursera.org/learn/statistical-inference via Coursera|5th Dec|4|2.7★ Reproducible Research https://www.coursera.org/learn/reproducible-research via Coursera|5th Dec|4|3.7★ Software Architecture for the Internet of Things https://www.coursera.org/learn/iot-software-architecture via Coursera|5th Dec|NA|NA NEW Advanced Linear Models for Data Science 2: Statistical Linear Models https://www.coursera.org/learn/linear-models-2 via Coursera|5th Dec|NA|NA Games, Sensors and Media https://www.coursera.org/learn/games via Coursera|5th Dec|4|NA Mastering the Software Engineering Interview https://www.coursera.org/learn/cs-tech-interview via Coursera|5th Dec|4|5★ Algorithms on Graphs https://www.coursera.org/learn/algorithms-on-graphs via Coursera|5th Dec|NA|4★ Multiplatform Mobile App Development with Web Technologies https://www.coursera.org/learn/hybrid-mobile-development via Coursera|5th Dec|4|5★ Data Warehouse Concepts, Design, and Data Integration http://bit.ly/2fYB1hn via Coursera|5th Dec|5|5★ Advanced Data Structures in Java https://www.coursera.org/learn/advanced-data-structures via Coursera|5th Dec|5|NA Introduction to Data Science in Python https://www.coursera.org/learn/python-data-analysis via Coursera|5th Dec|NA|NA Algorithms on Strings https://www.coursera.org/learn/algorithms-on-strings via Coursera|5th Dec|NA|3★ Functional Programming Principles in Scala https://www.coursera.org/learn/progfun1 via Coursera|5th Dec|7|4.8★ Data Structures and Performance https://www.coursera.org/learn/data-structures-optimizing-performance via Coursera|5th Dec|5|5★ Programming Mobile Applications for Android Handheld Systems: Part 2 https://www.coursera.org/learn/android-programming-2 via Coursera|5th Dec|5|4.5★ Divide and Conquer, Sorting and Searching, and Randomized Algorithms https://www.coursera.org/learn/algorithms-divide-conquer via Coursera|5th Dec|NA|NA NEW Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming https://www.coursera.org/learn/algorithms-greedy via Coursera|5th Dec|NA|NA Build Your First Android App Project-Centered Course https://www.coursera.org/learn/android-appvia Coursera|5th Dec|5|3★ Responsive Website Tutorial and Examples https://www.coursera.org/learn/responsive-website-examples via Coursera|5th Dec|4|5★ Programming Mobile Applications for Android Handheld Systems: Part 1 https://www.coursera.org/learn/android-programming via Coursera|5th Dec|5|4.1★ Beginning Game Programming with C# https://www.coursera.org/learn/game-programming via Coursera|5th Dec|12|3.4★ Global Warming II: Create Your Own Models in Python https://www.coursera.org/learn/global-warming-model via Coursera|12th Dec|5|2★ Data Analysis Tools https://www.coursera.org/learn/data-analysis-tools via Coursera|12th Dec|4|3★ Algorithmic Thinking Part 1 https://www.coursera.org/learn/algorithmic-thinking-1 via Coursera|12th Dec|4|4.1★ Testing with Agile https://www.coursera.org/learn/agile-development via Coursera|12th Dec|NA|NA Interactive Computer Graphics https://www.coursera.org/learn/interactive-computer-graphics via Coursera|12th Dec|8|3.5★ Managing Data Analysis https://www.coursera.org/learn/managing-data-analysis via Coursera|12th Dec|1|1.8★ Cloud Computing Concepts: Part 2 https://www.coursera.org/learn/cloud-computing-2 via Coursera|12th Dec|5|4.8★ Cybersecurity and Mobility https://www.coursera.org/learn/cybersecurity-mobility via Coursera|12th Dec|NA|NA Android App Components - Intents, Activities, and Broadcast Receivers https://www.coursera.org/learn/androidapps via Coursera|12th Dec|NA|NA NEW Building Data Visualization Tools https://www.coursera.org/learn/r-data-visualization via Coursera|12th Dec|NA|NA Analysis of Algorithms https://www.coursera.org/learn/analysis-of-algorithms via Coursera|12th Dec|6|4.8★ Introduction to Meteor.js Development https://www.coursera.org/learn/meteor-development via Coursera|12th Dec|4|5★ iOS App Development Basics https://www.coursera.org/learn/ios-app-development-basics via Coursera|12th Dec|5|4★ Essential Design Principles for Tableau https://www.coursera.org/learn/dataviz-design via Coursera|12th Dec|NA|NA C++ For C Programmers, Part B https://www.coursera.org/learn/c-plus-plus-b via Coursera|12th Dec|NA|NA Data Science in Real Life https://www.coursera.org/learn/real-life-data-sciencevia Coursera|12th Dec|1|3★ Building a Data Science Team https://www.coursera.org/learn/build-data-science-team via Coursera|12th Dec|1|3.3★ Machine Learning https://www.coursera.org/learn/machine-learning via Coursera|12th Dec|11|4.8★ Principles of Computing Part 1 https://www.coursera.org/learn/principles-of-computing-1 via Coursera|12th Dec|5|4.6★ Introduction to Big Data https://www.coursera.org/learn/big-data-introduction via Coursera|12th Dec|3|2.6★ Running Product Design Sprints https://www.coursera.org/learn/running-design-sprints via Coursera|12th Dec|5|NA NEW Fundamentals of Computer Architecture https://www.coursera.org/learn/computer-architecture-fundamentals via Coursera|12th Dec|NA|NA Data Visualization and Communication with Tableau https://www.coursera.org/learn/analytics-tableau via Coursera|12th Dec|5|4★ Hadoop Platform and Application Framework https://www.coursera.org/learn/hadoop via Coursera|12th Dec|5|1.9★ A developer's guide to the Internet of Things IoT https://www.coursera.org/learn/developer-iot via Coursera|12th Dec|NA|4★ Internet of Things: Communication Technologies https://www.coursera.org/learn/internet-of-things-communication via Coursera|12th Dec|4|3★ Building R Packages https://www.coursera.org/learn/r-packages via Coursera|12th Dec|NA|NA Java Programming: Solving Problems with Software https://www.coursera.org/learn/java-programming via Coursera|12th Dec|4|3.3★ A Crash Course in Data Science https://www.coursera.org/learn/data-science-course via Coursera|12th Dec|1|3.3★ Database Management Essentials https://www.coursera.org/learn/database-management via Coursera|12th Dec|7|3.8★ Introduction to Neurohacking In R https://www.coursera.org/learn/neurohacking via Coursera|12th Dec|NA|NA The R Programming Environment https://www.coursera.org/learn/r-programming-environment via Coursera|12th Dec|NA|NA Introduction to Architecting Smart IoT Devices https://www.coursera.org/learn/iot-devices via Coursera|12th Dec|NA|NA Algorithmic Thinking Part 2 https://www.coursera.org/learn/algorithmic-thinking-2 via Coursera|12th Dec|NA|4.4★ Fundamentals of Visualization with Tableau https://www.coursera.org/learn/data-visualization-tableau via Coursera|12th Dec|NA|NA Dealing With Missing Data https://www.coursera.org/learn/missing-data via Coursera|12th Dec|NA|NA Java Programming: Arrays, Lists, and Structured Data https://www.coursera.org/learn/java-programming-arrays-lists-data via Coursera|12th Dec|4|4.3★ Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure https://www.coursera.org/learn/cloud-applications-part1 via Coursera|12th Dec|5|3.4★ Big Data Integration and Processing https://www.coursera.org/learn/big-data-integration-processing via Coursera|12th Dec|NA|NA Cybersecurity and the X-Factor https://www.coursera.org/learn/cybersecurity-and-x-factor via Coursera|12th Dec|NA|NA Advanced R Programming https://www.coursera.org/learn/advanced-r via Coursera|12th Dec|NA|NA Responsive Web Design https://www.coursera.org/learn/responsive-web-design via Coursera|12th Dec|4|3.3★ Introduction To Swift Programming https://www.coursera.org/learn/swift-programming via Coursera|12th Dec|5|1.2★ Data Management and Visualization https://www.coursera.org/learn/data-visualization via Coursera|12th Dec|4|2.4★ Principles of Computing Part 2 https://www.coursera.org/learn/principles-of-computing-2 via Coursera|12th Dec|NA|4.3★ Software Security https://www.coursera.org/learn/software-security via Coursera|12th Dec|6|4.7★ Java for Android https://www.coursera.org/learn/java-for-android via Coursera|13th Dec|4|NA NEW Building and Deploying Android App Projects https://www.coursera.org/learn/badaap via Coursera|15th Dec|NA|NA C++ For C Programmers, Part A https://www.coursera.org/learn/c-plus-plus-a via Coursera|19th Dec|NA|3.2★ Introduction to Genomic Technologies https://www.coursera.org/learn/introduction-genomics via Coursera|19th Dec|4|2.7★ Python for Genomic Data Science https://www.coursera.org/learn/python-genomics via Coursera|19th Dec|4|2.4★ Web Connectivity and Security in Embedded Systems https://www.coursera.org/learn/iot-connectivity-security via Coursera|19th Dec|NA|NA Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 https://www.coursera.org/learn/bioinformatics-pku via Coursera|19th Dec|14|NA Statistics for Genomic Data Science https://www.coursera.org/learn/statistical-genomics via Coursera|19th Dec|4|2★ Web Application Development: Basic Concepts https://www.coursera.org/learn/web-app via Coursera|19th Dec|NA|NA 算法设计与分析 Design and Analysis of Algorithms https://www.coursera.org/learn/algorithms via Coursera|19th Dec|13|NA Genomic Data Science with Galaxy https://www.coursera.org/learn/galaxy-project via Coursera|19th Dec|4|1.8★ Discrete Optimization https://www.coursera.org/learn/discrete-optimization via Coursera|19th Dec|9|4.3★ Programming Languages, Part B https://www.coursera.org/learn/programming-languages-part-b via Coursera|19th Dec|NA|NA Build Your Own iOS App https://www.coursera.org/learn/build-app via Coursera|19th Dec|NA|NA 面向对象技术高级课程(The Advanced Object-Oriented Technology) https://www.coursera.org/learn/aoo via Coursera|19th Dec|12|NA Julia Scientific Programming https://www.coursera.org/learn/julia-programming via Coursera|19th Dec|NA|NA Computer Architecture https://www.coursera.org/learn/comparch via Coursera|19th Dec|11|4.5★ Internet of Things: How did we get here? https://www.coursera.org/learn/internet-of-things-history via Coursera|26th Dec|2|2★ Big Data, Cloud Computing, & CDN Emerging Technologies https://www.coursera.org/learn/big-data-cloud-computing-cdnvia Coursera|26th Dec|3|3.3★ Wireless Communication Emerging Technologies https://www.coursera.org/learn/wireless-communication-technologiesvia Coursera|26th Dec|5|3.7★ Internet of Things & Augmented Reality Emerging Technologies https://www.coursera.org/learn/iot-augmented-reality-technologies via Coursera|26th Dec|2|2.5★ Algorithms, Part I https://www.coursera.org/learn/introduction-to-algorithms via Coursera|26th Dec|6|4.4★ Cryptography I https://www.coursera.org/learn/cryptovia Coursera|26th Dec|7|4.7★ Programming Languages, Part C https://www.coursera.org/learn/programming-languages-part-c via Coursera|26th Dec|NA|NA Architecting Smart IoT Devices https://www.coursera.org/learn/iot-architecture via Coursera|26th Dec|NA|NA Internet of Things: Sensing and Actuation From Devices https://www.coursera.org/learn/internet-of-things-sensing-actuation via Coursera|26th Dec|6|NA Internet of Things: Setting Up Your DragonBoard™ Development Platform https://www.coursera.org/learn/internet-of-things-dragonboard via Coursera|26th Dec|10|3★ Process Mining: Data science in Action https://www.coursera.org/learn/process-mining via Coursera|26th Dec|6|4.3★ Internet Emerging Technologies https://www.coursera.org/learn/internet-technologies via Coursera|26th Dec|3|3★ Cryptography https://www.coursera.org/learn/cryptography via Coursera|26th Dec|7|4.2★

ADVANCED42

Course Name|Start Date|Length in weeks|Rating :--|:--:|:--:|:--:|:--: NEW Combining and Analyzing Complex Data https://www.coursera.org/learn/data-collection-analytics-project via Coursera|1st Dec|NA|NA NEW Recommender Systems: Evaluation and Metrics https://www.coursera.org/learn/recommender-metrics via Coursera|1st Dec|NA|NA Genomic Data Science and Clustering Bioinformatics V https://www.coursera.org/learn/genomic-data via Coursera|1st Dec|2|3.5★ Regression Modeling in Practice https://www.coursera.org/learn/regression-modeling-practice via Coursera|2nd Dec|4|5★ Genome Sequencing Bioinformatics II https://www.coursera.org/learn/genome-sequencing via Coursera|5th Dec|4|5★ Big Data, Genes, and Medicine https://www.coursera.org/learn/data-genes-medicine via Coursera|5th Dec|NA|NA Probabilistic Graphical Models 1: Representation https://www.coursera.org/learn/probabilistic-graphical-models via Coursera|5th Dec|11|4.4★ Parallel programming https://www.coursera.org/learn/parprog1 via Coursera|5th Dec|NA|5★ Machine Learning With Big Data https://www.coursera.org/learn/big-data-machine-learning via Coursera|5th Dec|4|1.8★ Comparing Genes, Proteins, and Genomes Bioinformatics III https://www.coursera.org/learn/comparing-genomes via Coursera|5th Dec|5|5★ Relational Database Support for Data Warehouses https://www.coursera.org/learn/dwrelational via Coursera|5th Dec|5|2★ Machine Learning Foundations: A Case Study Approach https://www.coursera.org/learn/ml-foundations via Coursera|5th Dec|6|4.2★ Finding Mutations in DNA and Proteins Bioinformatics VI https://www.coursera.org/learn/dna-mutations via Coursera|5th Dec|5|NA Approximation Algorithms Part II https://www.coursera.org/learn/approximation-algorithms-part-2 via Coursera|5th Dec|4|NA Machine Learning: Regression https://www.coursera.org/learn/ml-regression via Coursera|5th Dec|6|4.7★ Finding Hidden Messages in DNA Bioinformatics I https://www.coursera.org/learn/dna-analysis via Coursera|5th Dec|4|4.5★ Machine Learning: Classification https://www.coursera.org/learn/ml-classification via Coursera|5th Dec|7|4.8★ Pattern Discovery in Data Mining https://www.coursera.org/learn/data-patterns via Coursera|5th Dec|4|2.2★ Graph Analytics for Big Data https://www.coursera.org/learn/big-data-graph-analytics via Coursera|5th Dec|4|2.4★ Machine Learning: Clustering & Retrieval https://www.coursera.org/learn/ml-clustering-and-retrieval via Coursera|5th Dec|NA|4.5★ Practical Predictive Analytics: Models and Methods https://www.coursera.org/learn/predictive-analytics via Coursera|5th Dec|4|2.5★ Developing Data Products https://www.coursera.org/learn/data-products via Coursera|5th Dec|4|3.9★ Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud http://bit.ly/2gXcF52 via Coursera|5th Dec|NA|NA Introduction to Recommender Systems: Non-Personalized and Content-Based https://www.coursera.org/learn/recommender-systems-introduction via Coursera|5th Dec|NA|NA Hardware Security https://www.coursera.org/learn/hardware-security via Coursera|5th Dec|6|3★ Cluster Analysis in Data Mining https://www.coursera.org/learn/cluster-analysis via Coursera|12th Dec|4|2.6★ Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application via Coursera|12th Dec|NA|NA Text Mining and Analytics https://www.coursera.org/learn/text-mining via Coursera|12th Dec|4|3.7★ Nearest Neighbor Collaborative Filtering https://www.coursera.org/learn/collaborative-filtering via Coursera|12th Dec|NA|NA Machine Learning for Data Analysis https://www.coursera.org/learn/machine-learning-data-analysis via Coursera|12th Dec|4|3★ Probabilistic Graphical Models 2: Inference https://www.coursera.org/learn/probabilistic-graphical-models-2-inference via Coursera|19th Dec|NA|NA Computational Neuroscience https://www.coursera.org/learn/computational-neuroscience via Coursera|19th Dec|8|3.8★ Algorithms for DNA Sequencing https://www.coursera.org/learn/dna-sequencing via Coursera|19th Dec|4|4.5★ Bioconductor for Genomic Data Science https://www.coursera.org/learn/bioconductor via Coursera|19th Dec|4|3.3★ System Validation 2: Model process behaviour https://www.coursera.org/learn/system-validation-behavior via Coursera|19th Dec|NA|NA System Validation: Automata and behavioural equivalences https://www.coursera.org/learn/automata-system-validation via Coursera|26th Dec|NA|NA Advanced Linear Models for Data Science 1: Least Squares https://www.coursera.org/learn/linear-models via Coursera|26th Dec|NA|NA Big Data Science with the BD2K-LINCS Data Coordination and Integration Center https://www.coursera.org/learn/bd2k-lincs via Coursera|26th Dec|7|4★ Neural Networks for Machine Learning https://www.coursera.org/learn/neural-networks via Coursera|26th Dec|8|4.5★ Hands-on Text Mining and Analytics https://www.coursera.org/learn/text-mining-analytics via Coursera|26th Dec|NA|NA Quantitative Formal Modeling and Worst-Case Performance Analysis https://www.coursera.org/learn/quantitative-formal-modeling-1 via Coursera|26th Dec|4|4★ Embedded Hardware and Operating Systems https://www.coursera.org/learn/embedded-operating-system via Coursera|26th Dec|NA|NA

r/mathematics • comment
6 points • knestleknox

I learned most of my coding foundation through side-projects in college. But it wouldn't be that hard to pick up as a mathematics major as it's a very logical field. While I learned general coding myself, I decided to take this course which I highly recommend for picking up data science in python/pandas.

Yeah, Python/R are the 2 giants in the industry now but imo Python is far superior as it can be used in a more general programming context, it's quickly becoming the most popular language of all time, and it has amazing package support. As I said, python's not too hard to learn. What is harder harder to learn is the data science tools such as pandas/keras/matplotlib etc...

r/analytics • post
10 points • nolenole
Come join me in Coursera's Introduction to Data Science in Python course!

Hey ya'll! Coursera's "Applied Data Science with Python" specialization is starting its first course on April 9th - Introduction to Data Science in Python. If you've got a bit of Python/programming experience but are otherwise starting fresh with data analytics, come join me on the journey! I want to get a Slack group going where we can discuss assignments and our journeys into the wonderful world of data with Python.

Shoot me a PM if you're interested or join the Slack at data-with-python.slack.com.

r/learnpython • post
10 points • Zeppelin2k
Best online courses to learn python for an intermediate programmer?

I have no experience with Python and I'd like to learn this year. But I am familiar with programming to a degree; I use Matlab frequently for work, mostly for data analysis and fitting. I have a firm grasp on programming fundamentals.

With that in mind, I'd like some advice on ways I can start learning. I think an online course, preferably free, would be best. I know a number of them are starting next week. There's something like MIT's Intro to Computer Science (https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-11), but since this is geared towards beginners I'm worried I won't get as much out of it. There's also something like this five-part Applied Data Science with Python course on Coursera (https://www.coursera.org/learn/python-data-analysis), which might be the right level but I'm not sure it's a good or worthwhile class. Any thoughts on these or other recommendations would be greatly appreciated. Thank you!

r/Accounting • comment
4 points • dtizzlenizzle

Introduction to Data Science in Python | University of Michigan https://www.coursera.org/learn/python-data-analysis

r/learnprogramming • post
1144 points • dhawal
Here's a list of 430+ free online programming/CS courses (MOOCs) with feedback(i.e. exams/homeworks/assignments) that you can start this month (September 2016)

Unfortunately I couldn't fit all the courses here because of Reddit's 40,000 character limit. So I removed older self-paced courses from the list. These courses are always open for registration.

They can be found here:

~300 Self Paced Programming and Computer Science courses

I have also started categorizing the courses listed here by the programming language they are taught in. You can find the list here:

~250 MOOCs categorized by Programming Language

This is not the complete list of MOOCs starting in September 2016, just the ones relevant to this community. The complete list of courses starting in September 2016 can be found over at Class Central (1600+ courses). I maintain a much bigger list of these courses over at Class Central

Get this list every month via email : Subscribe

NOTE: Unfortunately Coursera has converted many of its courses to 'Premium Grading'. Which basically means that you need to pay if you want to access graded assignments :(. You can also apply for Financial Aid - https://learner.coursera.help/hc/en-us/articles/209819033-Apply-for-Financial-Aid

BEGINNER(14)

Course Name|Start Date|Length (in weeks)|Rating :--|:--:|:--:|:--:|:--: Java Programming Basics via Udacity|Self paced|NA|NA Learn to Program: Crafting Quality Code via Coursera|1st Sep|10|4.5★ (6) Learn to Program: The Fundamentals via Coursera|1st Sep|10|4.8★ (81) Programming for Everybody (Getting Started with Python) via Coursera|5th Sep|7|4.6★ (37) Programming and the Web for Beginners via Coursera|5th Sep|4|3.8★ (9) Internet History, Technology, and Security via Coursera|5th Sep|10|4.6★ (28) Introduction to CSS3 via Coursera|5th Sep|4|4.6★ (7) The Beauty and Joy of Computing - CS Principles Part 1 via edX|6th Sep|NA|4★ (1) CODAPPS: Coding mobile apps for entrepreneurs via Coursera|12th Sep|8|5★ (1) Code Yourself! An Introduction to Programming via Coursera|12th Sep|5|4.3★ (6) An Introduction to Interactive Programming in Python (Part 2) via Coursera|19th Sep|4|4.8★ (40) Usable Security via Coursera|19th Sep|7|2.9★ (8) An Introduction to Interactive Programming in Python (Part 1) via Coursera|19th Sep|5|4.9★ (2816) Paradigms of Computer Programming – Fundamentals via edX|26th Sep|5|5★ (2) INTERMEDIATE(94)

Course Name|Start Date|Length (in weeks)|Rating :--|:--:|:--:|:--:|:--: [NEW] M233: Getting Started with Spark and MongoDB via MongoDB University|Self paced|NA|NA Android Basics: Networking via Udacity|Self paced|NA|NA [NEW] Dynamic Web Applications with Sinatra via Udacity|Self paced|NA|NA [NEW] The MVC Pattern in Ruby via Udacity|Self paced|NA|NA [NEW] Deploying Applications with Heroku via Udacity|Self paced|NA|NA [NEW] Intro to JavaScript via Flatiron School|Self paced|NA|NA [NEW] Android Basics: Data Storage via Udacity|Self paced|NA|NA Analysis of Algorithms via Coursera|1st Sep|6|4.8★ (4) Malicious Software and its Underground Economy: Two Sides to Every Story via Coursera|1st Sep|NA|3.8★ (5) Algorithms, Part II via Coursera|1st Sep|6|4.8★ (18) [NEW] Agile Software Development via edX|1st Sep|NA|NA Software Defined Networking via Coursera|1st Sep|NA|4★ (5) Algorithms, Part I via Coursera|1st Sep|6|4.4★ (37) Software Processes and Agile Practices via Coursera|1st Sep|4|4.3★ (9) Introduction to Software Product Management via Coursera|1st Sep|2|4.2★ (10) Client Needs and Software Requirements via Coursera|1st Sep|4|4.3★ (6) Reviews & Metrics for Software Improvements via Coursera|1st Sep|4|NA [NEW] Programming Mobile Services for Android Handheld Systems: Content via Coursera|1st Sep|NA|NA Programming Mobile Services for Android Handheld Systems: Concurrency via Coursera|1st Sep|NA|5★ (2) Agile Planning for Software Products via Coursera|1st Sep|4|3★ (2) Programming Languages, Part A via Coursera|5th Sep|NA|4.9★ (16) Introduction To Swift Programming via Coursera|5th Sep|5|1.2★ (5) Data Management and Visualization via Coursera|5th Sep|4|2.4★ (5) Cybersecurity and Mobility via Coursera|5th Sep|NA|NA Data Analysis Tools via Coursera|5th Sep|4|3★ (3) Managing Data Analysis via Coursera|5th Sep|1|1.8★ (6) Python Data Structures via Coursera|5th Sep|7|4.4★ (29) Using Python to Access Web Data via Coursera|5th Sep|6|4.5★ (28) Using Databases with Python via Coursera|5th Sep|5|4.5★ (17) iOS App Development Basics via Coursera|5th Sep|5|4★ (2) Testing with Agile via Coursera|5th Sep|NA|NA Cloud Computing Concepts: Part 2 via Coursera|5th Sep|5|4.8★ (4) [NEW] Single Page Web Applications with AngularJS via Coursera|5th Sep|NA|NA Introduction to Meteor.js Development via Coursera|5th Sep|4|5★ (3) Internet of Things: Setting Up Your DragonBoard™ Development Platform via Coursera|5th Sep|10|3★ (3) Algorithms: Design and Analysis, Part 1 via Coursera|5th Sep|6|4.7★ (52) Cryptography I via Coursera|5th Sep|7|4.7★ (38) Running Product Design Sprints via Coursera|5th Sep|5|NA Algorithms: Design and Analysis, Part 2 via Coursera|5th Sep|6|4.8★ (16) [NEW] Programming Languages, Part B via Coursera|5th Sep|NA|NA Dealing With Missing Data via Coursera|5th Sep|NA|NA Machine Learning via Coursera|5th Sep|11|4.8★ (204) Cryptography via Coursera|5th Sep|7|4.2★ (6) Introduction to Big Data via Coursera|5th Sep|3|2.6★ (27) Algorithmic Toolbox via Coursera|5th Sep|5|4.7★ (6) Data Visualization and Communication with Tableau via Coursera|5th Sep|5|4★ (7) Database Management Essentials via Coursera|5th Sep|7|3.8★ (4) Java Programming: Solving Problems with Software via Coursera|5th Sep|4|3.3★ (8) Front-End Web UI Frameworks and Tools via Coursera|5th Sep|4|4.3★ (6) Hadoop Platform and Application Framework via Coursera|5th Sep|5|1.9★ (19) Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure via Coursera|5th Sep|5|3.4★ (7) A developer's guide to the Internet of Things (IoT) via Coursera|5th Sep|NA|4★ (1) Big Data, Cloud Computing, & CDN Emerging Technologies via Coursera|5th Sep|3|3.3★ (4) Algorithms on Strings via Coursera|5th Sep|NA|3★ (1) Process Mining: Data science in Action via Coursera|5th Sep|6|4.3★ (12) Java Programming: Arrays, Lists, and Structured Data via Coursera|5th Sep|4|4.3★ (3) Introduction to Process Mining with ProM via FutureLearn|5th Sep|4|NA Responsive Web Design via Coursera|5th Sep|4|3.3★ (10) Multiplatform Mobile App Development with Web Technologies via Coursera|5th Sep|4|5★ (1) Mastering the Software Engineering Interview via Coursera|5th Sep|4|5★ (1) Big Data Integration and Processing via Coursera|5th Sep|NA|NA Java for Android via Coursera|6th Sep|4|NA Knowledge Management and Big Data in Business via edX|6th Sep|6|3.5★ (2) Foundations of Data Analysis - Part 1: Statistics Using R via edX|6th Sep|6|4★ (1) Programming Mobile Applications for Android Handheld Systems: Part 2 via Coursera|12th Sep|5|4.5★ (12) Approximation Algorithms Part I via Coursera|12th Sep|5|5★ (2) Front-End JavaScript Frameworks: AngularJS via Coursera|12th Sep|4|3.8★ (4) Beginning Game Programming with C# via Coursera|12th Sep|12|3.4★ (14) Programming Mobile Applications for Android Handheld Systems: Part 1 via Coursera|12th Sep|5|4.1★ (35) Software Architecture for the Internet of Things via Coursera|12th Sep|NA|NA HTML5 Part 2: Advanced Techniques for Designing HTML5 Apps via edX|13th Sep|8|3★ (1) The Nature of Code via Kadenze|14th Sep|5|5★ (14) Learning From Data (Introductory Machine Learning) via edX|18th Sep|10|4.4★ (16) Interactive Computer Graphics via Coursera|19th Sep|8|3.5★ (2) Principles of Computing (Part 1) via Coursera|19th Sep|5|4.6★ (25) [NEW] Data Analysis for Social Scientists via edX|19th Sep|NA|NA Algorithmic Thinking (Part 2) via Coursera|19th Sep|NA|4.4★ (8) Introduction to Architecting Smart IoT Devices via Coursera|19th Sep|NA|NA Internet of Things: Communication Technologies via Coursera|19th Sep|4|3★ (2) Introduction to Neurohacking In R via Coursera|19th Sep|NA|NA Principles of Computing (Part 2) via Coursera|19th Sep|NA|4.3★ (14) [NEW] Getting started with Augmented Reality via Coursera|19th Sep|NA|NA Global Warming II: Create Your Own Models in Python via Coursera|19th Sep|5|2★ (1) [NEW] Functional Programming in Haskell: Supercharge Your Coding via FutureLearn|19th Sep|NA|NA Software Security via Coursera|19th Sep|6|4.7★ (20) Algorithmic Thinking (Part 1) via Coursera|19th Sep|4|4.1★ (13) Programming Languages, Part A via Coursera|19th Sep|NA|4.9★ (16) Agile Development Using Ruby on Rails - Advanced via edX|20th Sep|8|4.6★ (5) [NEW] Algorithms via edX|20th Sep|6|NA Build Your Own iOS App via Coursera|26th Sep|NA|NA Moving to the Cloud via Coursera|26th Sep|NA|NA [NEW] Introduction to Data Science in Python via Coursera|26th Sep|NA|NA [NEW] Software Construction in Java via edX|26th Sep|NA|NA Client Needs and Software Requirements via Coursera|26th Sep|4|4.3★ (6) ADVANCED(26)

Course Name|Start Date|Length (in weeks)|Rating :--|:--:|:--:|:--:|:--: Bitcoin and Cryptocurrency Technologies via Coursera|1st Sep|7|4.6★ (9) Neural Networks for Machine Learning via Coursera|1st Sep|8|4.5★ (11) [NEW] Combining and Analyzing Complex Data via Coursera|1st Sep|NA|NA [NEW] Nearest Neighbor Collaborative Filtering via Coursera|1st Sep|NA|NA [NEW] Machine Learning: Recommender Systems & Dimensionality Reduction via Coursera|1st Sep|NA|NA [NEW] System Validation: Automata and behavioural equivalences via Coursera|5th Sep|NA|NA Machine Learning for Data Analysis via Coursera|5th Sep|4|3★ (3) Advanced Linear Models for Data Science 1 : Linear Models via Coursera|5th Sep|NA|NA [NEW] Introduction to Recommender Systems: Non-Personalized and Content-Based via Coursera|5th Sep|NA|NA Introduction to Natural Language Processing via Coursera|5th Sep|NA|3.8★ (6) Big Data: Statistical Inference and Machine Learning via FutureLearn|5th Sep|2|4★ (2) Quantitative Formal Modeling and Worst-Case Performance Analysis via Coursera|5th Sep|4|4★ (2) Machine Learning: Regression via Coursera|5th Sep|6|4.7★ (13) Introduction to Recommender Systems via Coursera|5th Sep|8|3.6★ (19) [NEW] Reliable Distributed Algorithms, Part 1 via edX|5th Sep|NA|NA Text Mining and Analytics via Coursera|5th Sep|4|3.7★ (6) Machine Learning: Clustering & Retrieval via Coursera|5th Sep|NA|4.5★ (2) Approximation Algorithms Part II via Coursera|12th Sep|4|NA [NEW] Cloud Computing Applications, Part 2 via Coursera|12th Sep|NA|NA Clinical Bioinformatics: Unlocking Genomics in Healthcare via FutureLearn|19th Sep|5|NA Machine Learning: Classification via Coursera|19th Sep|7|4.8★ (6) [NEW] Advanced Apache Spark for Data Science and Data Engineering via edX|21st Sep|2|NA Computational Neuroscience via Coursera|23rd Sep|8|3.8★ (6) Modeling Discrete Optimization via Coursera|26th Sep|8|4★ (5) [NEW] Advanced Java Concurrency via Coursera|26th Sep|NA|NA Computational Neuroscience via Coursera|26th Sep|8|3.8★ (6)

r/datascience • comment
8 points • nolenole

Hey ya'll! Coursera's "Applied Data Science with Python" specialization is starting its first course on April 9th - Introduction to Data Science in Python, which can be audited for free. If you've got a bit of Python/programming experience but are otherwise starting fresh, come join me on the journey! I want to get a Slack group going where we can discuss assignments and our journeys into the wonderful world of data with Python.

Shoot me a PM if you're interested or join the Slack at data-with-python.slack.com.

More experienced readers - any experience with this course? How is it?

r/learnpython • post
3 points • AirieFenix
[REQUEST-ELI5] How this for-in works?

Hi, people!

I'm doing the University of Michigan's Introduction to Data Science in Python course and I'm finding one particular line on their Jupyter notebook hard to understand.

There is a list of dictionaries with fuel consumption and other cars data.

print(mpg[0])
{'': '1', 'year': '1999', 'cty': '18', 'class': 'compact', 'trans': 'auto(l5)', 'model': 'a4', 'manufacturer': 'audi', 'fl': 'p', 'hwy': '29', 'drv': 'f', 'displ': '1.8', 'cyl': '4'}

There are some examples of what to do with this data and how to accomplish them. But I'm puzzled on how do they calculate average mpg:

sum(float(d['cty']) for d in mpg) / len(mpg)

Sure thing, they got the desired result. The thing is, I kinda know what's going on on that line but I don't really know or can explain. I get the interpreter is using d for each item in mpg(mpg.items) but I don't how the first d['cty'] works.

So the question is what the d['cty'] piece of the for statement do, how it works and what the interpreter actually does with that piece of the statement?


Sidenote, I have done:

a=0
for i in mpg:
    a += float(i['cty'])
print(a/len(mpg))

And while it works just fine, it doesn't seem as pythonic as the lecturer way of do it.

Thanks in advance!

EDIT: formatting.

r/datascience • comment
2 points • knestleknox

Sure: link here. I'd give the course a 8/10. It's great content but as a beginner it can be a bit tough when it's 90% self-learning and you're new to both python and pandas haha. Good Luck

r/Romania • comment
8 points • centient_srouton

Presupund ca ca iti place in continuare ceea ce faci, chiar daca te simti mediocru, sunt curios, cum ai invatat sa programezi?

Ai urmat vreodata un curriculum structurat sau ai fost genul care tot timpul a trebui sa invete in timp ce rezolva probleme concrete?

Ceea ce urmeaza sa zic e o opinie relativ nepopulara, dar m-am izbit de situatia asta suficient cat sa imi o asum: Programatorii self-taught nu sunt constanti in a rezolva probleme intr-un timeframe rezonabil.

Am 25 de ani si sunt lead dev si arhitect intr-o echipa de vreo 20 de oameni. Am ajuns in pozitia asta dupa 6 ani de scoala (4 din ei am lucrat part time ca programator). Echipa noastra e mixta, sunt oameni self taught, care au avut schimbare de cariera pe la 30 de ani si s-au apucat de programare, si sunt oameni care au terminat macar licenta in ceva IT related. Cei "cu scoala" sunt un pic mai predictibili cand vine vorba de capacitatea lor de a rezolva probleme intr-un timeframe rezonabil pentru ca scoala s-a asigurat de acoperirea tuturor elementelor esentiale si de baza. Sa inveti sa "programezi" nu e doar a invata limbajul X, tehnologia Y sau stack-ul Z. Inseamna sa dezvoltii un mod analitic de gandire. Asta de obicei dureaza, luni, ani daca vrei sa fii un programator bun. Am dat de destui oameni care care nu inteleg chestii de baza, cum ar fi cum functioneaza o functie anonima, care e diferenta dintre o variabila statica si unda de instanta, desi teoretic aveau 3-4 ani de experienta in limbajul respectiv. Problema lor e ca de multe ori s-au concentrat doar sa "faca sa mearga" chestia pe care o scriau, si nu s-au obosit sa inteleaga conceptul care o face sa mearga. O data ce iti dezvolti modul analitic de gandire o sa tinzi sa ai o abordare similara pentru aproape toate problemele pe care incerci sa le rezolvi.

Daca esti intr-o situatie similara, sugerez sa pui mana pe o carte care exploreaza elemente mai avansate din limbajul pe care il folosesti acum, si cum ar trebui folosite, si eventual 1-2 cursuri online axate pe folosirea lui intr-un context mai analitic, care te forteaza sa intelegi de ce functioneaza asa cum functioneaza si nu doar cum.

e.g. pentru Python:

r/learnmachinelearning • post
2 points • GetsTrimAPlenty
An alternative to Machine Learning with Andrew Ng?

My wife is interested in learning about data science, and the titular course was highly recommended in her research. The issue is, is that she thinks that the course is very boring; so boring that she has a hard time picking it up again after a break. Are there other alternatives that you would recommend?

​

To put that "boring" comment in context, my wife is a genius. I don't mean that poetically, I mean that literally, she's had at least one IQ test measure her IQ in the range of 150-160. She also happens to be very gifted in math and has her Master's degree in applied math. She often complains that lectures and content in math courses or texts are "too slow" or simple for her. I don't have her gifts, so I'm not sure how to help her, so I wanted to ask here for insights.

​

She has taken another data science course previously: Introduction to Data Science in Python, which she seemed to enjoy; though she did have complaints about their "just look up everything on StackExchange" philosophy, as she put it. She's hoping to take one more course and then start taking part in Kaggle competitions to build her portfolio before applying for Data Science jobs.

​

Thank you.

r/DataUncensored • post
1 points • cogsleycogs
Introduction to Data Science in Python
r/jobs • comment
1 points • beige4ever

sure. it needs knowledge of Python or other programming language, your VB shoul be enough. https://www.coursera.org/learn/python-data-analysis?

r/analytics • comment
1 points • nolenole

Nope, you can audit the course for free indefinitely. They've got it really hidden though. If you try to enroll on the page for the specialization with all the courses on it, you won't have the option. But if you navigate to the page for one specific course and click enroll, there will be a little tiny line at the bottom that says "Audit the course". That's where you click to do it for free.

r/learnmachinelearning • comment
1 points • mallasahaj

I took Introduction to Data Science in Python by the University of Michigan. This is an intermediate course and assignments here are tough. The assignments will throw you to the wolves very early. The assignments make you research more about how to apply pandas and NumPy in the given task. This made me learn more and more about it. I can only recommend this course to anyone interested and who already has a basic knowledge of Python.

r/learnpython • comment
2 points • nolenole

Hey ya'll! Coursera's "Applied Data Science with Python" specialization is starting its first course on April 9th - Introduction to Data Science in Python. If you've got a bit of Python/programming experience but are otherwise starting fresh, come join me on the journey! I want to get a Slack group going where we can discuss assignments and our journeys into the wonderful world of data with Python.

Shoot me a PM if you're interested or join the Slack at data-with-python.slack.com.

r/datascience • post
1 points • Jon_Luck_Pickard
Michigan's Introduction to Data Science in Python - How much Python do I need to know to start it?

I just finished EdX's Intro to Computer Programming with Python and want to take this Michigan class. Since my knowledge of Python is pretty much limited to the EdX class, I'm wondering if I need to take more basic Python classes beforehand. It's categorized as an "intermediate" level class.

There is a more basic Coursera Python for Data Science class I could take, if the Michigan one is too difficult.

Thanks!

r/statistics • comment
1 points • sparedOstrich

On the contrary to what people on willbell thread are saying, I have a BTech in Electronics and Communication engineering. I have learnt some coding languages like C, C++, python, along with coding languages in ECE like assembly, Arduino. I have used them to develop codecs and for audio signal processing. I think learning languages gives you an understanding of how you can use a machine to do what you desire.

So you can start with a MOOC like Chuck Severance's Programming for everybody. You can even audit it. Or you can use Youtube series like Bucky Robert's Python Programming Tutorials (OLD version, Python 2) or Python 3.4 Programming Tutorials. You can use this to learn python, in general, to do whatever you want. And then " you learn one statistic concept and then see how you can program the concept in r or python ".

Or if you want to learn statistics-intensive way, you can find MOOCs like

a. https://www.coursera.org/learn/python-data-analysis

b. https://www.coursera.org/specializations/statistics

c. https://www.edx.org/course/statistics-and-r

d. https://www.edx.org/course/probability-and-statistics-in-data-science-using-python-0

Now I am doing BSc in Statistics, Maths and Computer Science. (programming then statistics) order has benefitted me. I could easily learn other languages like Maxima or Scilab. I also have the option of implementing the code in a language I already know.

I personally feel "it's easier to teach a software developer statistics than it is to teach a statistician to program" - google or Amazon, as I see some of the old stats professors and research scholars at my University are devoid of programming skills and find it hard sometimes.

r/learnmachinelearning • comment
1 points • mallasahaj

This is my plan for learning machine learning.

1) Python for Everybody

2) Mathematics for Machine Learning: Linear Algebra

3) Mathematics for Machine Learning: Multivariate Calculus

4) Andrew Ng: Machine Learning

5) Introduction to Data Science in Python <course: 1 of Applied Data Science with Python\>

6) Mathematics for Machine Learning: PCA

7) Applied Data Science with Python (continue specialization)

8) Deep Learning Specialization

9) fast.ai Deep Learning for coders

10) Kaggle Competitions

11) Personal Projects

This is my personal roadmap for learning machine learning after tons of research. I hope this helps you?

r/datascience • comment
4 points • Diet-Cocaine

Hi /r/datascience. I'm an aspiring data scientist and I'm trying to put together a data science course that's self-taught and can be done on one's time. Any pointers would be appreciated.

Section A: Foundations in Mathematics

  • Calculus I

  • Calculus II

  • Calculus III

  • Linear Algebra

  • Statistics

  • Probability Theory

  • Bayesian Statistics

Section B: Foundations in Computer Science

Section C: Basic Data Science

  • Intro to Data Science

Section D: Advanced Data Science

  • Machine Learning

  • Deep Learning

These are the courses/subjects I've gathered would be most important or useful for someone trying to learn data science. Below are the resources that can be used to learn these subjects.

Section A Resources

Khanacademy - General Calculus, Linear Algebra

PatrickJMT - General Calculus, Linear Algebra

Professor Leonard - Calculus I, Calculus II, Calculus III, Statistics

MIT OpenCourseWare - Single Variable Calculus (I/II), Multivariable Calculus (III), Linear Algebra, Statistics, Probability Theory/Bayesian Statistics

Harvard - Probability Theory/Bayesian Statistics

Section B Resources

Datacamp

Dataquest

Codeacademy

Code School

LearnPython.Org

Kaggle

Udemy

Udacity

Rmotr

Section C Resources

University of Michigan - Introduction to Data Science in Python

Harvard CS109 - Introduction to Data Science

R for Data Science

Section D Resources

Andrew Ng's Machine Learning

Jose Portilla's Python for Data Science and Machine Learning

Andrew Ng's Deep Learning Series

Am I missing any important courses, free or otherwise? Any important books? Any concepts I'm completely forgetting about?

I've been told this is missing real education in science itself. How can I incorporate that?

r/OMSCS • comment
2 points • juniordevv

Here you are m8.. Since I do software development my initial focus was Algs/DS, Software Dev Methods, Languages, and OOP ... I want my next area of focus to be (Networking/Cybersecurity), then (Computer Architecture/Systems and OS) ... then the 3 math classes ... and from there we will see, maybe applying to OMSCS soon after. I'm sure that will be a solid 18 months of classes if not more.

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Here is the degree program I modeled my MOOC pursuit after :

https://www.colorado.edu/cs/current-students/undergraduate-students/bs-degree/bs-degree-requirements

http://www.cs.colorado.edu/courses/catalog/

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Discrete Math/Structures

https://www.coursera.org/specializations/discrete-mathematics#about

UCSD

Linear Algebra

https://www.edx.org/course/linear-algebra-foundations-to-frontiers

UT Austin self-paced

Probability / Statistics

https://www.coursera.org/learn/probability-statistics

Uni London

Intro to CS

https://www.edx.org/course/cs50s-introduction-computer-science-harvardx-cs50x

Harvard

Algorithms / Data Structures

https://www.coursera.org/learn/algorithms-part1

https://www.coursera.org/learn/algorithms-part2

Princeton

Principles of Programming Languages

https://www.coursera.org/learn/programming-languages/home/welcome

U Washington

Software Development Methods / Tools

https://courses.edx.org/courses/course-v1:PennX+SD1x+2T2017/course/

U Penn

Databases

https://lagunita.stanford.edu/courses/DB/2014/SelfPaced/about

Stanford self-paced

CyberSecurity

https://www.edx.org/course/introduction-to-cybersecurity

https://www.edx.org/course/building-a-cybersecurity-toolkit

U Washington self-paced

Computation Theory

https://www.edx.org/course/computation-structures-part-1-digital-mitx-6-004-1x-0

https://www.edx.org/course/computation-structures-2-computer-mitx-6-004-2x

https://www.edx.org/course/computation-structures-2-computer-mitx-6-004-2x

MIT archived/self-paced

https://www.coursera.org/learn/comparch

Princeton

Operating Systems

http://pages.cs.wisc.edu/\~remzi/OSTEP/ (e book)

Networking

https://www.coursera.org/learn/computer-networking

Google

https://www.coursera.org/specializations/networking-basics#courses

Cisco 5-part

Object-Oriented Design/Analysis

https://www.edx.org/course/software-construction-object-oriented-ubcx-sof

UBC self-paced

https://www.edx.org/course/object-oriented-programming-in-java-1

Microsoft self-paced

Data Science

https://www.coursera.org/learn/python-data-analysis

U Mich

Linux SysAdmin

https://www.coursera.org/learn/linux-server-management-security

CU

Compilers

???

Cryptography

https://www.coursera.org/learn/crypto

Stanford

Machine Learning

https://www.edx.org/course/machine-learning-columbiax-csmm-102x-4

Columbia

Computer Security / Hacking

https://www.coursera.org/learn/hacking-patching

https://www.coursera.org/specializations/computer-network-security

CU

High Performance Computing

https://www.edx.org/course/high-performance-computing-reproducible-harvardx-ph525-6x-1

Harvard

Concurrent Programming

https://www.coursera.org/learn/concurrent-programming-in-java

https://www.coursera.org/learn/parallel-programming-in-java

https://www.coursera.org/learn/distributed-programming-in-java

Rice

Operations Research

https://www.coursera.org/learn/wharton-operations-analytics

UPenn

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u/space_monkey_13a

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