شرح منهج Statistics – Probability and Descriptive Statistics مستوى جامعي تخصص Data Science

المواضيع التي سيتم شرحها و توضيحها تفصيليًا كالاتي

Introduction

Signposts Throughout the Course Book

Basic Reading

Further Reading

Learning Objectives

Unit 1

Probability

1.1  Definitions

1.2  Independent Events

1.3  Constant, the the random Conditional Probability

1.4  Bayesian Statistics 


Unit 2

Random Variables

2.1 Random Variables

2.2  Probability Mass Functions and Distribution Functions

2.3  Important Discrete Random Variables

2.4  Important Continuous Random Variables

Unit 3

Joint Distributions

3.1  Joint Distributions

3.2  Marginal Distributions

3.3  Independent Random Variables

3.4  Conditional Distribution 


Unit 4

Expectation and Variance

4.1  Expectation of a Random Variable

4.2  Variance and Covariance

4.3  Expectations and Variances of Important Probability Distributions

4.4  Central Moments

4.5  Moment Generating Functions

Unit 5

Inequalities and Limit Theorems

5.1  Probability Inequalities

5.2  Inequalities and Expectations

5.3  The Law of Large Numbers

5.4  The Central Limit Theorem

من لديه الخبرة في تدريس المناهج الجامعية و اسلوب جيد و ممتع للشرح

يرجئ العلم انه سيتم تسجيل كافة الدروس اثناء الشرح للرجوع لها لاحقًا.