Data Mining Practicum

Theoretical knowledge of data preparation, data mining, and machine learning techniques can be very useful. However, in order to be a successful data scientist, you must be able to put the theory into practice and draw useful information and insight from large datasets.

This challenging course is designed to give students hands-on practical experience data mining and predictive modeling. Students will go through several data mining projects, planning and executing all the steps of data preparation, analysis, learning and modeling, and identifying the predictive/descriptive model that produces the best evaluation scores. This course will ensure preparedness for complex real-life data mining tasks.

Topics include:

• Obtaining the right data
• Preparing the dataset
• Modeling and iteration
• Evaluation and model selection
• How to deal with issues
• Ensemble modeling

Practical experience:

• Hands-on data mining projects using real-life data sets from industries such as marketing, healthcare, and environmental

Software: WEKA and Python are used for class assignments. There is no additional cost for this product.

Course typically offered: Online in Winter and Summer

Prerequisites: Fundamentals of Data Science, Data Preparation for Analytics, and Data Mining: Advanced Concepts and Algorithms required.

Next Steps: Upon completion of this course, consider taking additional courses in Machine Learning Methods to continue building your skills.

More Information: For more information about this course, please contact unex-techdata@ucsd.edu.

Course Number: CSE-41263
Credit: 3.00 unit(s)

+ Expand All

7/9/2024 - 9/7/2024

$850

Online

Closed

• SECTION ID:

  182098

• CLASS TYPE:

  Online Asynchronous.
  
  This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
  You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.

• INSTRUCTOR:
  

  Foxworthy, John

  John Thomas Foxworthy is a Data Science Veteran with 20 years of professional experience with Consulting Companies, Big Banks, and Hedge Funds.  He completed his Master of Science in Data Science from Northwestern University with a Thesis on Deep Learning Forecasting using Artificial Intelligence for numerical data, images, and text.  His Bachelor's degree is from the University of California, Los Angeles, from the Department of Economics, with a Thesis on the Limits of Econometric Modeling.

• TEXTBOOKS:

  No information available at this time.

• POLICIES:

  No refunds after: 7/15/2024.
  

• NOTE:

• DATE & LOCATION:

  7/9/2024 - 9/7/2024
  extensioncanvas.ucsd.edu
  You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.