Data Mining

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Below are the top discussions from Reddit that mention this online Coursera specialization from University of Illinois at Urbana-Champaign.

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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Taught by
John C. Hart
Professor of Computer Science
and 2 more instructors

Offered by
University of Illinois at Urbana-Champaign

This specialization includes these 6 courses.

#233
Data Visualization
Learn the general concepts of data mining along with basic methodologies and applications.
University of Illinois at Urbana-Champaign
John C. Hart
0 reddit posts
13 mentions
#399
Text Retrieval and Search Engines
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets.
University of Illinois at Urbana-Champaign
ChengXiang Zhai
0 reddit posts
8 mentions
#404
Text Mining and Analytics
This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or m...
University of Illinois at Urbana-Champaign
ChengXiang Zhai
0 reddit posts
9 mentions
#484
Pattern Discovery in Data Mining
Learn the general concepts of data mining along with basic methodologies and applications.
University of Illinois at Urbana-Champaign
Jiawei Han
0 reddit posts
4 mentions
#691
Cluster Analysis in Data Mining
Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications.
University of Illinois at Urbana-Champaign
Jiawei Han
0 reddit posts
2 mentions
Data Mining Project
Note: You should complete all the other courses in this Specialization before beginning this course.
University of Illinois at Urbana-Champaign
Jiawei Han
0 reddit posts
0 mentions

Reddit Posts and Comments

0 posts • 45 mentions • top 7 shown below

r/datascience • post
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?

r/datamining • comment
2 points • TheRedHawk88

Coursera is my go-to.

https://www.coursera.org/specializations/data-mining

r/datascience • post
98 points • Executer13
What do you think of the learning path I built?

Hi,

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):

MATHEMATICS

LINEAR ALGEBRA

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.]

MULTIVARIABLE CALCULUS

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]

STATISTICS

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]

PROBABILITY

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

COMPUTER SCIENCE

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

DATABASES

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

MACHINE LEARNING

INTRODUCTION TO MACHINE LEARNING

Coursera’s Machine Learning: https://www.coursera.org/learn/machine-learning (plus unofficial notes: http://www.holehouse.org/mlclass/)

[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]

BIG DATA

INTRODUCTION TO BIG DATA

Coursera’s Introduction to Big Data: https://www.coursera.org/learn/big-data-introduction

HADOOP

BigDataUniversity’s Hadoop Fundamentals: https://cognitiveclass.ai/learn/hadoop/

SPARK

BigDataUniversity’s Spark Fundamentals: https://cognitiveclass.ai/learn/spark/

DATA MINING

Coursera’s Data Mining: https://www.coursera.org/specializations/data-mining

r/Python • comment
1 points • SimpleScribbler

You can audit the courses in this Coursera data mining specialization for free. It's all about text analysis/NLP.

https://www.coursera.org/specializations/data-mining

r/artificial • post
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.

r/UIUC • post
1 points • macoit18
Online MCS - Classes that can be taken on Coursera

Hi everyone,

​

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:

https://www.coursera.org/specializations/data-mining

https://www.coursera.org/specializations/cloud-computing

​

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?

​

Thanks

r/agi • post
1 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.