About this Course

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Intermediate Level
Approx. 17 hours to complete
English

Skills you will gain

Feature EngineeringMatlabData Cleansing
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.
Intermediate Level
Approx. 17 hours to complete
English

Offered by

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MathWorks

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Surveying Your Data

3 hours to complete
10 videos (Total 46 min), 4 readings, 2 quizzes
10 videos
Overview of Data Processing and Feature Engineering3m
Instructor Introduction2m
Introduction to Module 11m
Introduction to the Flights Dataset7m
Exploring the Flights Dataset5m
Describing Distributions6m
Examples of Distributions5m
Visualizing Multi-Dimensional Data8m
Summary of Module 1: Surveying Your Data2m
4 readings
Download and Install MATLAB15m
Data and Code Files15m
Variables in the Flights Dataset15m
Practice Visualizing Multidimensional Data45m
2 practice exercises
Understanding the Flights Dataset20m
Module 1 Quiz30m
Week
2

Week 2

3 hours to complete

Organizing Your Data

3 hours to complete
8 videos (Total 34 min), 2 readings, 3 quizzes
8 videos
Working with Strings7m
Working with Dates and Times4m
Importing Multiple Data Files4m
Combining Data5m
Joining Tables5m
Sorting Your Data3m
Summary of Module 2: Organizing Your Data2m
2 readings
Practice Working with Strings15m
Practice Using Dates and Times30m
2 practice exercises
Practice Working with Strings15m
Quiz 2: Organizing Your Data1h
Week
3

Week 3

3 hours to complete

Cleaning Your Data

3 hours to complete
9 videos (Total 44 min), 2 readings, 3 quizzes
9 videos
Identifying Missing Data6m
Handling Missing Data5m
Identifying Outliers5m
Investigating Outliers6m
Normalizing Data4m
Examples of Normalizing Data4m
Smoothing Data7m
Summary of Module 3: Cleaning Your Data1m
2 readings
Practice Working with Outliers1h
Cleaning Data: Analyzing Flight Volume30m
2 practice exercises
Practice Quiz: Putting it all Together15m
Quiz 3: Cleaning Your Data40m
Week
4

Week 4

4 hours to complete

Finding Features that Matter

4 hours to complete
7 videos (Total 35 min), 4 readings, 2 quizzes
7 videos
Introduction to Feature Engineering5m
Introduction to Unsupervised Learning3m
Introduction to Clustering Algorithms6m
Evaluating Features8m
Introduction to Dimensionality Reduction and PCA5m
Summary of Module 4: Finding Features that Matter1m
4 readings
Examples of Feature Engineering30m
Example of K-means Clustering15m
Applying Filter Methods30m
Applying PCA45m
1 practice exercise
Quiz 4: Finding Features that Matter45m

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About the Practical Data Science with MATLAB Specialization

Practical Data Science with MATLAB

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