About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

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Beginner Level

Approx. 16 hours to complete

Suggested: 9 hours/week...

English

Subtitles: English

What you will learn

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    How to design Data Science workflows without any programming involved

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

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    Data Manipulation, preparation and cclassification and clustering methods

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

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 16 hours to complete

Suggested: 9 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
4 hours to complete

Welcome to the world of Big Data

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

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

14 videos (Total 42 min), 2 quizzes
14 videos
String Manipulation3m
String Replacer2m
String Splitting and Column Combining2m
Column Resorter2m
Type Conversions2m
Database Operations2m
Scatterplot4m
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

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

Instructor

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Natasha Balac, Ph.D.

Interdisciplinary Center for Data Science
Qualcomm Institute/CalIT2

About University of California San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.