University of California San Diego

Code Free Data Science

Ends today! This point in the year is perfect for 40% off 10,000+ programs. Save now.

University of California San Diego

Code Free Data Science

37,964 already enrolled

Included with Coursera PlusLearn more

Ask Coursera

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
1 week to complete
at 10 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

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

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

Natasha Balac, Ph.D.
University of California San Diego
4 Courses221,001 learners

Explore more from Machine Learning

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions