The Comprehensive Data Analyst Course

سرفصل های دوره

Learn about Numpy, Pandas, SQL, Linear Algebra, Visualization and more through solved case study

1 - Basic Python for Data Analysis

1 - Keywords Identifiers and Variables

2 - Variable Assignment

3 - Strings List

4 - Tuple

5 - Set

6 - Dictionary

7 - Data type conversion

8 - Python Comments

9 - Print Statement

10 - Python Arithmetic and Logical Operators

11 - Identity Membership Operators

12 - For While loop

13 - Conditional Statement

14 - Functions

15 - Modules

16 - List Part 1

17 - List Part 2

18 - List Part 3

19 - List Part 4

20 - List Part 5

21 - Tuple Part 1

22 - Tuple Part 2

23 - Set Part 1

24 - Set Part 2

25 - Set Part 3

26 - Dictionary

27 - Strings

28 - Numpy Introduction

29 - Creating arrays

30 - Array Operations Part 1

31 - Array Masking

32 - Array Operations Part 2

33 - Array Operations Part 3

34 - Array broadcasting

35 - Array Shape Manipulation Sorting

2 - Basics of SQL

36 - SQL Introduction

37 - Select Command

38 - Limit Command

39 - Column Filtering

40 - DISTINCT command

41 - WHERE command

42 - AGGREGATE Functions

43 - GROUP BY command

44 - AND OR NULL commands

45 - LIKE command WILDCARD characters

46 - JOINS Part 1

47 - JOINS Part 2

48 - JOINS Part 3

49 - IN command

50 - HAVING Command

51 - UNION command

52 - ANY ALL command

3 - Principal Component Analysis

53 - Preface for Dimensionality Reduction Part 1

54 - Preface for Dimensionality Reduction Part 2

55 - Preface for Dimensionality Reduction Part 3

56 - Preface for Dimensionality Reduction Part 4

57 - Preface for Dimensionality Reduction Part 5

58 - Gometric Intuition of PCA

59 - Mathematical formulation of PCA Part 1

60 - Mathematical formulation of PCA Part 2

61 - Mathematical formulation of PCA Part 3

62 - Failure cases of PCA

63 - Connecting Colab to Gdrive

64 - Understanding MNIST dataset

65 - Visualizing MNIST single digit

66 - MNIST Visualization Method 1

67 - MNIST Visualization Method 2

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تولید کننده: Udemy-Training