University of California San Diego

Code Free Data Science

Taught in English

Some content may not be translated

31,741 already enrolled


Gain insight into a topic and learn the fundamentals


(200 reviews)

Beginner level
No prior experience required
14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • How to design Data Science workflows without any programming involved

  • Essential Data Science skills to design, build, test and evaluate predictive models

  • Data Manipulation, preparation and cclassification and clustering methods

  • Ways to apply Data Science algorithms to real data and evaluate and interpret the results

Details to know

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There are 4 modules in this course

Welcome to the first module of the Code Free Data Science course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Big Data Analytics and methodology associated with Data Science approaches.

What's included

7 videos4 readings2 quizzes3 discussion prompts

This module will introduce the KNIME analytics platform. Learners will be guided to download, install and setup KNIME. We will explore and become familiar with the KNIME workflow editor and its components. In this module we will create the very first basic workflow, and explore the kinds of analysis KNIME empowers users to perform.

What's included

10 videos11 readings5 quizzes

What's included

14 videos2 quizzes

What's included

8 videos3 readings3 quizzes


Instructor ratings
4.3 (96 ratings)
Natasha Balac, Ph.D.
University of California San Diego
4 Courses213,083 learners

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