About this Course

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Beginner Level
Approx. 14 hours to complete
Subtitles: English

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

Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 14 hours to complete
Subtitles: English

Offered by

University of California San Diego logo

University of California San Diego

Syllabus - What you will learn from this course


Week 1

4 hours to complete

Welcome to the world of Big Data

4 hours to complete
7 videos (Total 38 min), 4 readings, 2 quizzes
7 videos
Welcome to Module 127s
First Joke19s
Big Data Characteristics and Applications5m
Big Data Applications7m
Big Data Analytics8m
Introduction to Data Mining11m
4 readings
Big Data Impact and Challanges30m
Big Data Analytics: Applications, Prospects and Challenges45m
10 signs of Data Science Maturity45m
NIST Big Data interoperability Framework (NBDIF)1h
2 practice exercises
Big Data Quiz15m
Module 1 quiz20m

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
Module 2 Joke11s
Introduction to KNIME Analytics Platform3m
Install KNIME Analytics Platform1m
Exploring KNIME Workspace6m
Creating new workflows in KNIME5m
My First KNIME Workflow Exercise2m
Node Operations in KNIME5m
Data Types and Formats in KNIME6m
Creating Analytics Workflow in KNIME8m
11 readings
KNIME Analytics Platform Web site link20m
Download KNIME10m
KNIME Installation Guide20m
KNIME getting Started10m
KNIME workbench guide30m
Example Workflows15m
KNIME Whitepaper30m
adult.csv data set10m
KNIME Book Chapter 130m
Autos Data Set10m
Iris.csv data10m
5 practice exercises
Install KNIME Quiz15m
Exploring KNIME15m
Node Operations Quiz
Filtering Data Quiz20m
Filtering Workflow Assignment45m

Week 3

1 hour to complete

Data Manipulation and Visualization

1 hour to complete
14 videos (Total 42 min)
14 videos
Intro to Data Manipulation in KNIME5m
Rule Engine3m
String Manipulation3m
String Replacer2m
String Splitting and Column Combining2m
Column Resorter2m
Type Conversions2m
Database Operations2m
Color Manager in KNIME4m
Line Plot2m
Parallel Coordinate Plot2m
Bar Charts3m
2 practice exercises
Rule Engine Quiz
Module 3 Assignment

Week 4

3 hours to complete

Machine Learning

3 hours to complete
8 videos (Total 63 min), 3 readings, 3 quizzes
8 videos
Module 4 Joke42s
Introduction to Data Science13m
Introduction to Decision Tree Induction11m
Building Decision Tree Model in KNIME5m
Decision Tree Workflow15m
Intro to K-means Clustering8m
K-means Clustering In KNIME7m
3 readings
Decision Tree Reading30m
Decision Trees Examples in KNIME20m
Book Chapter on Clustering45m
3 practice exercises
Decision Trees Quiz
Decision Tree Assignment45m
Clustering Assignment



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