The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text.
Data Clustering Algorithms Text Mining Data Visualization (DataViz) Data Mining Data Visualization Software Tableau Software Data Virtualization Information Retrieval (IR) Document Retrieval Machine Learning Recommender Systems Probabilistic Models
Accessible for free. Completion certificates are offered.
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John C. Hart
Professor of Computer Science
and 2 more instructors
University of Illinois at Urbana-Champaign
This specialization includes these 6 courses.
Reddit Posts and Comments
0 posts • 45 mentions • top 7 shown below
7 points • complexgunner
How is Data Mining Specialization by Illinois on Coursera?
Coursera link: https://www.coursera.org/specializations/data-mining
How is it compared to other Data Mining MOOCs?
2 points • TheRedHawk88
Coursera is my go-to.
98 points • Executer13
What do you think of the learning path I built?
I am interested in data science, but I am studying a completely unrelated subject (related with biology & health). Dropping out my current course is not an option, as I like it; however, I think that if I learned a little bit about data science, perhaps I could find job opportunities in my area which require a great biology/health knowledge and some data science knowledge too.
The curriculum I built based on my internet research is at the end of this post. I would like to know if you would change anything! Since I don't know much (only basic statistics & basic Python), it was not easy to find the best online resources. And if anyone else wants to follow this learning plan, I invite you to do so!
Here it is (note: content between square brackers, , is optional, and should be used mostly as a reference or to fill in the gaps):
Khan Academy: https://www.khanacademy.org/math/linear-algebra.
Book The Manga Guide to Linear Algebra
[MIT OpenCourseWare: https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/
Book Linear Algebra / Levandosky
Book Strang, Gilbert. Introduction to Linear Algebra.]
Khan Academy: https://www.khanacademy.org/math/multivariable-calculus
[MIT OpenCourseWare: https://ocw.mit.edu/courses/mathematics/18-02-multivariable-calculus-fall-2007/index.htm]
INFERENTIAL & DESCRIPTIVE STATISTICS
Udacity’s Intro to Descriptive Statistics: https://www.udacity.com/course/intro-to-descriptive-statistics--ud827
Udacity’s Intro to Inferential Statistics: https://www.udacity.com/course/intro-to-inferential-statistics--ud201
Book OpenIntro Statistics
[Book Think Stats]
edX’s Introduction to Probability - The Science of Uncertainty: https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2
INTRODUCTION TO COMPUTERS & PROGRAMMING
edX’s Intro to Computer Science: https://www.edx.org/course/introduction-computer-science-harvardx-cs50x
INTRODUCTION TO PYTHON
How to Think Like a Computer Scientist: http://interactivepython.org/runestone/static/thinkcspy/index.html
Udacity’s Design of Computer Programs: https://www.udacity.com/course/design-of-computer-programs--cs212
INTRODUCTION TO GIT & COMMAND LINE
Better Explained Blog Posts’ Series: https://betterexplained.com/articles/a-visual-guide-to-version-control/#Other_Posts_In_This_Series
Code School’s Git Course: https://www.codeschool.com/courses/try-git
Learn Enough Command Line to be Dangerous: https://www.learnenough.com/command-line-tutorial
INTRODUCTION TO DATA
SPREADSHEETS & MODELS
Coursera’s Introduction to Spreadsheets and Models: https://www.coursera.org/learn/wharton-introduction-spreadsheets-models
Stanford’s Introduction to Databases: https://lagunita.stanford.edu/courses/Engineering/db/2014_1/about
[Khan Academy’s Intro to SQL: Querying and Managing Data: https://www.khanacademy.org/computing/computer-programming/sql]
INTRODUCTION TO DATA MANAGEMENT
Coursera’s Getting and Cleaning Data: https://www.coursera.org/learn/data-cleaning
INTRODUCTION TO DATA VISUALISATION
Book The Visual Display of Quantitative Information
Introduction to Infographics & Data Visualization Course: https://www.youtube.com/playlist?list=PLa4VFIBUKrgLao-DalwedOCiq9RV6MPk9
TOOLS APPLIED TO DATA
PYTHON LIBRARIES (NUMPY, PANDAS, MATPLOTLIB & SEABORN)
Book Python for Data Analysis / Book Python Data Science Handbook.
Udacity’s Intro to Data Analysis: https://www.udacity.com/course/intro-to-data-analysis--ud170
NumPy Beginner: https://www.youtube.com/watch?v=gtejJ3RCddE
Awesome Data Science. 2.0 Introduction to Pandas and Exploratory Data Analysis: https://www.youtube.com/watch?v=ZrRpN_IrcBA
MatPlotLib Tutorial Series - Graphing in Python: https://www.youtube.com/playlist?list=PLQVvvaa0QuDfefDfXb9Yf0la1fPDKluPF
The Ultimate Python Seaborn Tutorial: Gotta Catch ‘Em All: https://elitedatascience.com/python-seaborn-tutorial
[Udemy’s Python for Data Science & Machine Learning Bootcamp: https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp/]
DATA WRANGLING WITH PYTHON & OPENREFINE
Book Data Wrangling with Python
BigDataUniversity’s Open Refine 101: https://cognitiveclass.ai/courses/introduction-to-openrefine/
DATA VISUALISATION WITH TABLEAU & D3.JS
Coursera’s Data Visualization and Communication with Tableau: https://www.coursera.org/learn/analytics-tableau
Your Guide to Becoming a Tableau Expert: https://www.analyticsvidhya.com/learning-paths-data-science-business-analytics-business-intelligence-big-data/tableau-learning-path/
Udacity’s Data Visualization and D3.js: https://www.udacity.com/course/data-visualization-and-d3js--ud507
Book Interactive Data Visualization
INTRODUCTION TO MACHINE LEARNING
[Book An Introduction to Statistical Learning]
APPLIED MACHINE LEARNING WITH PYTHON: SCIKIT LEARN
Andreas Mueller Jupyter Notebooks: https://github.com/amueller/scipy_2015_sklearn_tutorial/tree/master/notebooks
BigDataUniversity’s Machine Learning with Python: https://cognitiveclass.ai/courses/machine-learning-with-python/
INTRODUCTION TO DEEP LEARNING
Udacity’s Deep Learning: https://www.udacity.com/course/deep-learning--ud730
[DL for Computer Vision: http://cs231n.stanford.edu/syllabus.html]
INTRODUCTION TO BIG DATA
Coursera’s Introduction to Big Data: https://www.coursera.org/learn/big-data-introduction
BigDataUniversity’s Hadoop Fundamentals: https://cognitiveclass.ai/learn/hadoop/
BigDataUniversity’s Spark Fundamentals: https://cognitiveclass.ai/learn/spark/
Coursera’s Data Mining: https://www.coursera.org/specializations/data-mining
1 points • SimpleScribbler
You can audit the courses in this Coursera data mining specialization for free. It's all about text analysis/NLP.
2 points • seducer4real
Course recommendation for pursuing a career in AI. Looking for feedback and advice.
Hello, I'm currently following a machine learning course in order to learn more about AI and was wondering which other course(s) I should add to this in order to further my knowledge of AI. Machine learning course: https://www.coursera.org/learn/machine-learning I'd prefer if the course was on Coursera but I'm open to other options. Here are other courses I thought i should add to my list: Neural networks: https://www.coursera.org/learn/neural-networks# Discrete optimization: https://www.coursera.org/learn/discrete-optimization Data mining: https://www.coursera.org/specializations/data-mining Thanks for your help. Any other feedback is appreciated.
1 points • macoit18
Online MCS - Classes that can be taken on Coursera
I have been admitted to the program but it seemed too expensive to me and at the end I had decided not to accept the offer of admission. However, I thought of something and probably someone here knows about that.
I would be possible to take as many classes as possible on Coursera using financial aid. I mean, how many classes of the program can be taken as independent courses on Coursera right now?
Until now I am aware of the following two specialization:
Do you know if the courses in each specialization correspond to the ones done in the degree or can be converted into credits? Do you have a full list of the courses for the MCS?
Has anyone tried to get the degree in this way?
1 points • seducer4real
Course recommendation for pursuing a career in AI. Looking for feedback and advice.
I'm currently following a machine learning course in order to learn more about AI and was wondering which other course(s) I should add to this in order to further my knowledge of AI.
Machine learning course: https://www.coursera.org/learn/machine-learning
I'd prefer if the course was on Coursera but I'm open to other options.
Here are other courses I thought i should add to my list:
Neural networks: https://www.coursera.org/learn/neural-networks#
Discrete optimization: https://www.coursera.org/learn/discrete-optimization
Data mining: https://www.coursera.org/specializations/data-mining
Thanks for your help. Any other feedback is appreciated.