University of California San Diego

Code Free Data Science

34,167 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.3

(205 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 14 hours
Learn at your own pace
92%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.3

(205 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 14 hours
Learn at your own pace
92%
Most learners liked this course

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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Assessments

12 assignments

Taught in English

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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 assignments3 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 assignments

What's included

14 videos2 assignments

What's included

8 videos3 readings3 assignments

Instructor

Instructor ratings
4.3 (97 ratings)
Natasha Balac, Ph.D.
University of California San Diego
4 Courses216,118 learners

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Recommended if you're interested in Machine Learning

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Learner reviews

Showing 3 of 205

4.3

205 reviews

  • 5 stars

    57.07%

  • 4 stars

    27.80%

  • 3 stars

    7.80%

  • 2 stars

    2.43%

  • 1 star

    4.87%

TU
4

Reviewed on Mar 12, 2022

AA
5

Reviewed on Feb 15, 2022

PP
5

Reviewed on Jul 5, 2020

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