Search result for Data mining course stanford Online Courses & Certifications
Get Course Alerts by Email
Process Mining: Data science in Action
by Wil van der Aalst- 4.7
Approx. 22 hours to complete
Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Then the course focuses on process mining as a bridge between data mining and business process modeling. How is Process Mining Different from Data Mining?...
Pattern Discovery in Data Mining
by Jiawei Han- 4.3
Approx. 17 hours to complete
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Mining Frequent Patterns by Exploring Vertical Data Format SPADE—Sequential Pattern Mining in Vertical Data Format Mining and Aggregating Patterns over Multiple Trajectories ToPMine: Phrase Mining without Training Data Frequent Pattern Mining in Data Streams...
Introduction to Clinical Data
by Nigam Shah , Steven Bagley , David Magnus- 4.6
Approx. 12 hours to complete
This course introduces you to a framework for successful and ethical medical data mining. Revisit the data mining workflow steps Representing time, and timing of events, for clinical data mining How to apply a framework for medical data mining What makes a good research question and how to construct a data mining workflow answer it...
Mining Massive Datasets
by Jeffrey D. Ullman , Jure Leskovec , Anand Rajaraman- 0.0
7 Weeks
The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course. The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course....
$149
Intro to Analytic Thinking, Data Science, and Data Mining
by Dursun Delen , Julie Pai- 4
Approx. 7 hours to complete
We will review the types of business problems data science can solve and discuss the application of the CRISP-DM process to data mining efforts. Data Mining and an Overview of Data Analytics Data Mining and an Overview of Data Analytics The benefits of using the cross-industry standard process for data mining (CRISP-DM)...
Business intelligence and data warehousing
by María del Pilar Ángeles- 3.9
Approx. 10 hours to complete
Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses....
Blockchain and Cryptocurrency Explained
by Robert Dittmar , Andrew Wu- 4.7
Approx. 9 hours to complete
Course Introduction Blockchain Data Blockchain Network and Data Processing Case Reading: Mining for Bitcoin Course Feedback...
Text Mining and Analytics
by ChengXiang Zhai- 4.5
Approx. 33 hours to complete
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 minimum human effort. 5 Opinion Mining and Sentiment Analysis: Motivation...
Fundamentals of Python for Data Mining
by SVBook Pte. Ltd.- 2.6
3 hours on-demand video
Want to learn data mining with Python? This course offers fundamentals of Pythons with examples and than data mining. The course will than run through the popular data mining libraries like pandas, matplotlib, scipy, sklearn briefly on iris dataset to do data manipulation, data visualizations, data exploration with statistics (inferential and descriptives), model and evaluation....
$9.99
Introduction to Data Analytics
by Rav Ahuja- 4.8
Approx. 11 hours to complete
This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. This course does not require any prior data analysis, spreadsheet, or computer science experience. Mining & Visualizing Data and Communicating Results Tools for Data Mining...