Programming Languages, Part B

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

[As described below, this is Part B of a 3-part course.

Racket (Programming Language) Programming Language Concepts Type System Functional Programming

Next cohort starts July 13. 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
Dan Grossman
Professor

Offered by
University of Washington

Reddit Posts and Comments

0 posts • 12 mentions • top 10 shown below

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/compsci • post
66 points • daredevildas
Coursera - Programming Languages by University of Washington

Would you consider the 3 part Programming Languages course on Coursera(linked below) a prerequisite or a building block for studies in Programming Language Theory?

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

https://www.coursera.org/learn/programming-languages-part-b

https://www.coursera.org/learn/programming-languages-part-c

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/opensource • comment
1 points • _3psilon_

Oh, boy, Racket... :) I tried it for this course, it was crazy. I didn't know that people actually use that outside of teaching (thought that Scheme is for production applications).

I actually program in Javascript/Typescript, and after this course I can't write anything without anonymous (lambda) functions and lodash. :D

r/C_Programming • comment
5 points • TheAwdacityOfSoap

What do you want to do? Knowing what you want to do with the language would help to narrow the choices down. If you're just interested in learning a language for its own sake, you could try:

  • Taking a course online that covers multiple languages, such as Programming Languages on Coursera: Part A (ML), Part B (Racket), Part C (Ruby).
  • Scheme (a lisp). I've heard great things about SICP, but I haven't read it, regretfully.
  • Python, as others have suggested, is very different from C and also very practical. It's a top language right now in industry, especially in data science and machine learning. I think it's still a major contender in server development as well.
  • Java. Lots of people hate it for some reason. I love Java. It's got its quirks, sure, but I get the warm and fuzzies every time I use it, and it's one of the top languages in use today. Lots of practical stuff you can do with Java. Write servers. Program robots. Create a Minecraft plugin or write your own game.
  • Rust. A very exciting up and coming languages. Has a lot of really nice features like compile time memory/thread safety guarantees, traits and an official package manager. It's a tough nut to crack at first (I'm still working on it myself), but it's really nice.
  • JavaScript. Say what you will, but JavaScript is one of the top languages in use today. Learning JavaScript opens up frontend web development as an option for you. If you want to make a website that doesn't just sit there looking pretty, you'll have to go down this road eventually. Like Java, JavaScript has its quirks too, but is overall an enjoyable experience to use if you ignore some features (like double equals, unless you really know what you're doing). Paired with TypeScript, it's actually a joy.

If you're feeling analysis paralysis, I'd go with Java if you want something practical, or Scheme if you want your mind blown.

r/learnprogramming • comment
11 points • Lesabotsy

Here is mine, might get your interest. Note that my plan is to learn programming in general and not just web dev thing or one specific language, which should suit you well, I will focus on specialization later. Main language to learn will be java and python. Most of the courses are taken from OSSU https://github.com/ossu/computer-science minus the hardware, physics and all ...

Part 1: Intro

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

  • https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-11

Important, add some maths if you feel shaky about it - https://www.edx.org/course/precalculus-asux-mat170x

  • https://www.coursera.org/learn/calculus1

  • https://www.coursera.org/learn/advanced-calculus)

Part 2: Corse CS

  • https://www.edx.org/micromasters/software-development (the whole MicroMaster)

  • https://www.edx.org/professional-certificate/microsoft-introduction-to-code-objects-and-algorithms

  • https://www.coursera.org/learn/programming-languages

  • https://www.coursera.org/learn/programming-languages-part-b

  • https://www.coursera.org/learn/programming-languages-part-c

Part 3: Algorithms and Databases

  • https://lagunita.stanford.edu/courses/course-v1:Engineering+Algorithms1+SelfPaced/about

  • https://lagunita.stanford.edu/courses/course-v1:Engineering+Algorithms2+SelfPaced/about

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

Part 4: Specialize on whatever you want ...

r/learnprogramming • post
1 points • Winitran
Need help with choosing between the courses "Programming Languages" and "How to code"

Hi everyone

I just learned C with the help of the book "C Programming: A Modern Approach" which was a very good start, the problem is i still had problems implementing complex ideas into code, so i decided i should dive deeper into understanding the concepts of programming so :

i continued implementing small c projects (to keep me from forgetting c lol) started reading sedgewicks book on algorithms in C (which was recommended in the C programming book) *in addition to taking the two-part course on edX : How to Code - Simple Data and How to Code - Complex Data,

The problem is that i stumbled upon the OSSUs computer science github page, which recommends in addition to the edX course another 3 part course offered by the Washington state university titled "Programming Languages" Part A, Part B & Part C

And so my questions are: what are the differences (if they exist) between the two courses? and should i take them both or just one, if the latter case which one should i take?

r/learnprogramming • comment
1 points • cristianobaptista

Definitely possible. Going to highjack my own comment from another thread:

There is the Open Source Society University, which is a self-learning guide from beginner to very advanced: https://github.com/ossu/computer-science/blob/dev/README.md

Before you start trying to get a job out of programming, I believe you should really understand some basics from these courses:

  • https://www.coursera.org/specializations/python
  • https://www.coursera.org/specializations/computer-fundamentals
  • https://www.edx.org/course/introduction-to-computer-science-and-programming-7
  • https://www.coursera.org/learn/programming-languages
  • https://www.coursera.org/learn/programming-languages-part-b
  • https://www.coursera.org/learn/programming-languages-part-c
  • https://www.edx.org/course/introduction-computer-science-harvardx-cs50x

After this you should be able to start learning most programming languages with some level of confidence that you kinda know what you are doing, and my advice is that you should start learning by doing before going through more advanced topics, using any of the other resources other people have shared with you.

r/learnprogramming • comment
1 points • cristianobaptista

There is also the Open Source Society University, which is an self-learning guide from beginner to very advanced: https://github.com/ossu/computer-science/blob/dev/README.md

Before you start trying to get some money out of programming, I believe you should really understand some basics from these courses:

  • https://www.coursera.org/specializations/python
  • https://www.coursera.org/specializations/computer-fundamentals
  • https://www.edx.org/course/introduction-to-computer-science-and-programming-7
  • https://www.coursera.org/learn/programming-languages
  • https://www.coursera.org/learn/programming-languages-part-b
  • https://www.coursera.org/learn/programming-languages-part-c
  • https://www.edx.org/course/introduction-computer-science-harvardx-cs50x

After this you should be able to start learning most programming languages with some level of confidence that you kinda know what you are doing, and my advice is that you should start learning by doing before going through more advanced topics, using any of the other resources other people have shared with you.

If you want any more advice regarding how to start, feel free to message me directly.

r/learnprogramming • post
3 points • Woadray
My plan to learn programming, looking for criticism ...

At the start of 2018 I decided to learn programming, web development especially. But the more I learned, the more I found it to be enjoyable and that it is something that I really like, too bad I'm so late, I wish I had figured it out earlier. So I decided to learn more and not just dive into specialization in web development. I want to be a "good programmer" first, not just good with JavaScript. So I did some research and found a bunch of MOOCs and guides, I took them, mixed them up and made a plan to fit my goal. Here it is then:

March:

  • https://www.edx.org/course/cs50s-introduction-computer-science-harvardx-cs50x#!
  • https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-11

April:

  • https://www.edx.org/course/how-code-simple-data-ubcx-htc1x
  • https://www.edx.org/course/how-code-complex-data-ubcx-htc2x

May:

  • https://www.edx.org/course/software-construction-data-abstraction-ubcx-softconst1x
  • https://www.edx.org/course/software-construction-object-oriented-ubcx-softconst2x
  • https://lagunita.stanford.edu/courses/DB/2014/SelfPaced/about

June:

  • https://www.coursera.org/learn/programming-languages
  • https://www.coursera.org/learn/programming-languages-part-b
  • https://www.coursera.org/learn/programming-languages-part-c

July:

  • http://mooc.fi/courses/2013/programming-part-1/
  • http://mooc.fi/courses/2013/programming-part-2/

August:

  • https://lagunita.stanford.edu/courses/course-v1:Engineering+Algorithms1+SelfPaced/about
  • https://lagunita.stanford.edu/courses/course-v1:Engineering+Algorithms2+SelfPaced/about

September:

  • https://www.edx.org/course/software-engineering-introduction-ubcx-softeng1x
  • https://www.edx.org/course/software-development-capstone-project-ubcx-softengprjx

Oct/Nov/Dec:

  • https://www.udemy.com/the-web-developer-bootcamp/?siteID=EXclnL5BfX4-y_h6hFc_gg3Ot8FKUGLISg&LSNPUBID=EXclnL5BfX4
  • https://www.udemy.com/the-advanced-web-developer-bootcamp/
  • https://www.udemy.com/the-ultimate-mysql-bootcamp-go-from-sql-beginner-to-expert/

On top of all of this I'll maybe add some maths if needed. I have no idea if my time estimation is accurate, but I will only know by doing so we'll see ... I do this full time by the way. Feel free to criticize, any input is valuable, beside this month every other one ca be tweaked.

Thanks for reading.