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Course content
Sections:
9
•
Activities:
0
•
Resources:
48
- 001-A Practical Example What You Will Learn in This Course
- 002-What Does the Course Cover
- 004-Data Science and Business Buzzwords Why are there so Many
- 006-What is the difference between Analysis and Analytics
- 008-Business Analytics Data Analytics and Data Science An Introduction
- 010-Continuing with BI ML and AI
- 012-A Breakdown of our Data Science Infographic
- 015-The Reason Behind These Disciplines
- 017-Techniques for Working with Traditional Data-
- 019-Real Life Examples of Traditional Data
- 020-Techniques for Working with Big Data
- 022-Real Life Examples of Big Data
- 023-Business Intelligence BI Techniques
- 025-Real Life Examples of Business Intelligence BI
- 026-Techniques for Working with Traditional Methods
- 028-Real Life Examples of Traditional Methods
- 029-Machine Learning ML Techniques
- 031-Types of Machine Learning
- 033-Real Life Examples of Machine Learning ML
- 037-Finding the Job What to Expect and What to Look for
- 039-Debunking Common Misconceptions
- 041-The Basic Probability Formula
- 043-Computing Expected Values
- 045-Frequency
- 047-Events and Their Complements
- 049-Fundamentals of Combinatorics
- 051-Permutations and How to Use Them
- 053-Simple Operations with Factorials
- 055-Solving Variations with Repetition
- 057-Solving Variations without Repetition
- 059-Solving Combinations
- 061-Symmetry of Combinations
- 063-Solving Combinations with Separate Sample Spaces
- 065-Combinatorics in Real Life The Lottery-
- 067-A Recap of Combinatorics
- 068-A Practical Example of Combinatorics
- 069-Sets and Events
- 071-Ways Sets Can Interact
- 073-Intersection of Sets
- 075-Union of Sets
- 77-Mutually Exclusive Sets
- 079-Dependence and Independence of Sets
- 081-The Conditional Probability Formula
- 083-The Law of Total Probability
- 084-The Additive Rule
- 086-The Multiplication Law
- 088-Bayes Law
- 090-A Practical Example of Bayesian Inference