Overview
The Data Mining Specialization offered by Coursera in partnership with University of Illinois 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. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.
Skills
- Data Clustering Algorithms
- Text Mining
- Data Visualization (DataViz)
- Data Mining
- Data Visualization Software
- Tableau Software
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Visit programme websiteProgramme Structure
Courses include:
- Data Visualization
- Text Retrieval and Search Engines
- Text Mining and Analytics
- Pattern Discovery in Data Mining
- Cluster Analysis in Data Mining
- Data Mining Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Computer Sciences Data Science & Big Data Web Technologies & Cloud Computing View 587 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- Some related experience required.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.