Data Mining

share ›
‹ links

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

Reddsera may receive an affiliate commission if you enroll in a paid course after using these buttons to visit Coursera. Thank you for using these buttons to support Reddsera.

Taught by
John C. Hart
Professor of Computer Science
and 19 more instructors

Offered by
University of Illinois at Urbana-Champaign

This specialization includes these 6 courses.

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
8 mentions
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
4 mentions
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
2 reddit posts
5 mentions
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
5 mentions
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
1 mentions

Reddit Posts and Comments

4 posts • 41 mentions • top 5 shown below

r/BusinessIntelligence • post
21 points • radamesort
Coursera Data Mining Specialization starts on Feb. 2015
r/datamining • post
13 points • kifn2
Coursera is starting a Data Mining Specialization curriculum (apparently for free)
r/cscareerquestions • post
6 points • umbrae_atrae
How to Learn Data Mining as Fast as Possible

My brother is currently in a Math PhD program and thinking about dipping after getting a masters and start steering his career more towards CS. He has a decent knowledge of programming and had one internship working with the Navy analyzing social media (I believe he got to use some R but is by no means a master of it.) However, of course he doesn't want to leave school before he is employable. He was wondering what the best way to learn more about data mining is without spending a lot of time on the theory. Are there any good resources that teach data mining from a more practical stance? I always default to websites like coursera (, but I was wondering what other types of resources might be available on this subject.

TL;DR How do you learn the programming required for data mining to land a job ASAP?


r/MachineLearning • post
3 points • gardinal
Which of the two MOOCs will be a better option? Illinois DM Specialization or Stanford's Massive Data Mining?

I want to make sure by the end of the course I would have enough artifacts to apply for intern positions in Data Science. I am currently in the r&d department of a company for 6 months and my work is going to involve ml and stats. Right now brushing on stats using Duda Hart.

Option one : University of Illinois Data Mining Specialization.

Option two : Mining Massive Datasets by Stanford.

I have 6 months, and along with the current internship's experience and one of the above courses I want to be able to apply to data positions as an intern in companies in the states.

Getting good practical artifacts is one thing which would help. What else could I do in this period of 6 months to make my CV strong enough for companies abroad? Please help.

I am not willing to pay a total of 300$ unless the difference in the courses is really really worth it.

r/datascience • post
2 points • LearnDataSci
Coursera's Specialization Opinions

Coursera has a ton of specializations within the data science realm. There's Data Science, Genomic Data Science, Big Data, Data Mining, Machine Learning, Data Analysis, and a few more.

What are your opinions about these tracks? If you have taken multiple, how do they compare? If you are currently in one, how do you think it's going? Do you have ideas on how they could be better?