4.3
stars
185 ratings

Natasha Balac, Ph.D.

22,519 already enrolled

Offered By

Code Free Data Science

University of California San Diego

About this Course

26,062 recent views

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science.  Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements.  Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data-driven decisions.  During the class learners will acquire new skills to apply predictive algorithms to real data, evaluate, validate and interpret the results without any pre requisites for any kind of programming.  Participants will gain the essential skills to design, build, verify and test predictive models.  
You Will 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 Classification and clustering methods
•	Ways to apply Data Science algorithms to real data and evaluate and interpret the results

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Approx. 14 hours to complete

English

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What you will 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

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Approx. 14 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.29/5 (93 Ratings)

Natasha Balac, Ph.D.

Interdisciplinary Center for Data Science

Qualcomm Institute/CalIT2

201,023 Learners

4 Courses

Offered by

University of California San Diego

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Syllabus - What you will learn from this course

Content Rating92%(1,424 ratings)

Week1

Week 1

5 hours to complete

Welcome to the world of Big Data

5 hours to complete

7 videos (Total 38 min), 4 readings, 2 quizzes

7 videos

Welcome to the Code Free Data Science Class5mWelcome to Module 127sFirst Joke19sBig Data Characteristics and Applications5mBig Data Applications7mBig Data Analytics8mIntroduction to Data Mining11m

4 readings

Big Data Impact and Challanges30mBig Data Analytics: Applications, Prospects and Challenges45m10 signs of Data Science Maturity45mNIST Big Data interoperability Framework (NBDIF)1h

2 practice exercises

Big Data Quiz15mModule 1 quiz20m

Week2

Week 2

5 hours to complete

Introduction to KNIME Analytics Platform

5 hours to complete

10 videos (Total 40 min), 11 readings, 5 quizzes

10 videos

Welcome to Module 229sModule 2 Joke11sIntroduction to KNIME Analytics Platform3mInstall KNIME Analytics Platform1mExploring KNIME Workspace6mCreating new workflows in KNIME5mMy First KNIME Workflow Exercise2mNode Operations in KNIME5mData Types and Formats in KNIME6mCreating Analytics Workflow in KNIME8m

11 readings

KNIME Analytics Platform Web site link20mDownload KNIME10mKNIME Installation Guide20mKNIME getting Started10mKNIME workbench guide30mExample Workflows15mKNIME Whitepaper30madult.csv data set10mKNIME Book Chapter 130mAutos Data Set10mIris.csv data10m

5 practice exercises

Install KNIME Quiz15mExploring KNIME15mNode Operations QuizFiltering Data Quiz20mFiltering Workflow Assignment45m

Week3

Week 3

1 hour to complete

Data Manipulation and Visualization

1 hour to complete

14 videos (Total 42 min)

Week4

Week 4

3 hours to complete

Machine Learning

3 hours to complete

8 videos (Total 63 min), 3 readings, 3 quizzes

8 videos

Welcome to Module 424sModule 4 Joke42sIntroduction to Data Science13mIntroduction to Decision Tree Induction11mBuilding Decision Tree Model in KNIME5mDecision Tree Workflow15mIntro to K-means Clustering8mK-means Clustering In KNIME7m

3 readings

Decision Tree Reading30mDecision Trees Examples in KNIME20mBook Chapter on Clustering45m

3 practice exercises

Decision Trees QuizDecision Tree Assignment45mClustering Assignment

Reviews

4.3

55 reviews

5 stars
56.21%
4 stars
29.18%
3 stars
7.56%
2 stars
2.70%
1 star
4.32%

TOP REVIEWS FROM CODE FREE DATA SCIENCE

by RCFeb 10, 2022

So great course and easy to understand. Also and excelent teacher.

by NJFeb 27, 2022

something was missing like a clarified explanation of the methods and resources for the quiz is totally incompetence

by NMMar 22, 2022

VERY GOOD COURSE TAILORED FOR EVERYONE WHO IS WILLING TO LEARN. KEEP IT'S UP . I HAVE LEARNED ALOT AND GAIN SOME VITALS KNOLWEDGES ABOUT KNIME MACHINE LEARNING ALGORITHM. THANK U SO MUCH COURSERA

by BSApr 12, 2022

A lot of extra work must be done to reformat data examples into useful docs. Sometimes the courses require you to look ahead in order to obtain the tools needed for a quiz.

View all reviews

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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Code Free Data Science

Code Free Data Science

About this Course

What you will learn