About This Course
Course Curriculum
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Introduction
00:02:00 -
Data Science Explanation
00:05:00 -
Need of Data Science
00:02:00 -
8 Common mistakes by Aspiring Data Scientists/Data Science Enthusiasts
00:08:00 -
Myths about Data Science
00:03:00
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Data Types and Variables
00:04:00 -
Descriptive Analysis
00:02:00 -
Data Cleaning
00:02:00 -
Feature Engineering
00:02:00 -
Data Thinking Development
00:03:00
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Problem Definition
00:05:00 -
Algorithms
00:14:00 -
Prediction
00:03:00 -
Learning Methods
00:05:00
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Assignment – Quick Data Science Approach from Scratch