Master Data Science Prerequisites – Numpy – Pandas- Seaborn

سرفصل های دوره

Analyze and Visualization data quickly and easily with Python's powerful Numpy, Pandas, Seaborn Library

1. Introduction

1. Introduction

2.1 Numpy_Resources.rar

2.2 oops.rar

2.3 Pandas Resources.rar

2.4 Python.rar

2.5 seaborn.rar

2. Resources.html

3. Hello

4. Congratulations

2. Python (Optional)

1. Installation - Python

2. Installation - VS Code

3. Setup and Hello World

4. Drawing a Shape

5. DataTypes

6. Variables

7. Strings

8. Numbers

9. Taking an input

10. Lists

11. List_functions

12. Tuples

13. Dictionaries

14. Functions

15. Return Statement

16. Operators

17. If Statement

18. If Statements & Comparisons

19. While Loop

20. For Loops

21. Exponent Function

22. 2D Lists & Nested Loops

23. Comments

24. Try & Except

25. Reading Files

26. Writing Files

3. Oops (Optional)

1. Introduction

2. What is oop

3. Encapsulation

4. Abstraction

5. Inheritance

6. Polymorphism

4. Review

1. Review

5. NumPy and it's Applications

1. NumPy and it's Applications

6. Initializing an Array

1. Initializing an Array

2. NumPy Datatypes

7. AccessingChanging Specific Elements, Rows, Columns, etc

1. AccessingChanging Specific Elements

8. Initializing Different Arrays (1s, 0s, full, random, etc)

1. Initializing Different Arrays (1s, 0s, full, random, etc)

9. Basic Mathematics (arithmetic, trigonometry, etc.)

1. Basic Mathematics (arithmetic, trigonometry, etc.)

10. Linear Algebra and Statistics

1. Linear Algebra and Statistics

11. Reorganizing Arrays

1. Reorganizing Arrays

12. Load data in from a file

1. Load data using NumPy

13. Advanced Indexing and Boolean Masking

1. Advanced Indexing and Boolean Masking

14. Introduction of Pandas

1. Introduction of Pandas.html

2. Data Description

3. Importing the data

15. Creating a DataFrame

1. Series

2. Creating a DataFrame

3. Homework

16. Data Cleaning

1. Data Cleaning

17. Dealing with Empty cells

1. Mean Median Mode

2. Empty cells

18. Dealing with wrong data

1. Wrong Data

19. Dealing with wrong data type

1. Wrong Datatype

20. Dealing with duplicate data

1. Duplicates

21. Correlation

1. Correlation Introduction

2. Correlation

22. Seaborn

1. Importing the data

23. Distribution Plot

1. DISPLOT

2. Uses of distribution plot

24. KDE PLOT

1. KDE introduction

2. KDE Plot Part 1

3. KDE Plot Part 2

25. Scatter Plot

1. Scatter Plot

26. Rug Plot

1. Rug Plot

27. Joint Plot

1. Joint Plot

28. Pair Plot

1. Pair Plot

29. Bar Plot

1. Bar Plot

30. Count Plot

1. Count Plot

31. Box Plot

1. Box Plot

32. Violin Plot

1. Violin Plot

33. Strip Plot

1. Strip Plot

34. Swarm Plot

1. Swarm Plot

35. Heat Map

1. Heat Map

36. Pair Grid

1. Pair Grid

37. Sub Plots

1. Sub Plots

38. Certificate

1. Certificate

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تولید کننده: Udemy-Training