Applied Statistics for Data Science: A Hands-On Approach!

سرفصل های دوره

Build An Intuitive Understanding Using Python code: Histograms, CLT, Testing, Distributions, Correlation and much more!

1 - Course Introduction

1 - All-Jupyter-Notebooks.zip

1 - Course Introduction

2 - Chapter 1 Why Data science

2 - All-Jupyter-Notebooks.zip

2 - Introduction

2 - Statistics-for-Data-science-Course-Notes-PDF.pdf

2 - Statistics-for-Data-science-Slides-PDF.pdf

3 - Chapter 2 The Histogram

3 - HistogramBuilding

3 - How to build a histogram

4 - AdjustSigma

4 - ChangeAverage

4 - HistogramBins

4 - Introducing the Probability Density Function

4 - Chapter 3 Generating Artificial Data

5 - Different types of Data

5 - stats-for-datascience-chapter-3.zip

6 - How to Generate Artificial Data

7 - Sample Versus Population

8 - Lets Compute some Basic Statistics

9 - Visualisation of Sample Statistics

10 - Simulate Sample Statistics Fluctuations

5 - Chapter 4 The Central Limit Theorem

11 - Simulating the Central Limit Theorem

11 - stats-for-datascience-chapter-4.zip

12 - The Strength and Weakness of the Central Limit Theorem

6 - Chapter 5 Distribution Functions

13 - Data Distributions Introduction

13 - stats-for-datascience-chapter-5.zip

14 - Percentiles and Data Intervals

15 - What is the Standard Deviation really

16 - The Cumulative Distribution Function

17 - Distribution Zoo 1 Normal Distribution

18 - Distribution Zoo 2 Uniform Distribution

19 - Distribution Zoo 3 Exponential Distribution

20 - Distribution Function 4 Poisson Distribution

21 - Distribution Zoo 5 Binomial Distribution

22 - Distribution Zoo 6 Rayleigh Distribution

7 - Intermediate Break

23 - Youre doing great

8 - Chapter 6 Statistical Testing

24 - Introduction to Statistical Testing

24 - stats-for-datascience-chapter-6.zip

25 - The Pvalue and Statistical Significance

26 - Implementing the Pvalue in Python

27 - Testing the Pvalue through simulation

28 - Statistical Test 1 Normalcy

29 - Statistical Test 2 Equal Variances

30 - Statistical Test 3 Equal Means

31 - Statistical Test 4 ANOVA Test

32 - Statistical Test 5 Testing Equal Distributions

33 - Nonparametric Statistical Tests

9 - Chapter 7 Two Concrete RealLife Examples

34 - Example 1 Detecting A Biased Coin

34 - stats-for-datascience-chapter-7.zip

35 - Implementing Coin Flipping in Python

36 - Playing Around with the Simulation

37 - Example 2 AB testing

10 - Chapter 8 Correlation between Variables

38 - Introduction to Correlation

38 - stats-for-datascience-chapter-8.zip

39 - Linear Correlation

40 - Linear Correlation in Python

41 - Pearson Correlation Coefficient

42 - Correlation between Categorical Variables

43 - Categorical Correlation ChiSquared test

11 - EXTRA Regression and Machine Learning Introduction

44 - Linear Regression

44 - stats-for-datascience-chapter-9.zip

45 - Logistic Regression MLpipeline

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تولید کننده: Udemy