เรียน Python เพิ่มทักษะการทำงานสายอาชีพ Data Scientist

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หลักสูตร เรียน Python เพิ่มทักษะการทำงานสายอาชีพ Data Scientist

สามารถเรียนได้ทุกคน จำเป็นต้องมีความรู้ด้านการเขียนโปรแกรมภาษา Python มาก่อน

เนื้อหาการเรียนเขียนโปรแกรมภาษา Python เพิ่มทักษะการทำงานสายอาชีพ Data Scientist ฉบับเสริมทักษะ Zero to Hero

แบ่งเป็น 5 ส่วน

ส่วนที่ 1: Python Programming Tutorials

1. Introduction to Python Data Science

2. Python Syntax Exercise 1.1

3. Python Variables Exercise 1.2

4. Python Variables Exercise 1.3

5. Python Variables Exercise 1.4

6. Python Variables Exercise 1.5

7. Python Variables Exercise 1.6

8. Python Variables Exercise 1.7

9. Python Operators Exercise 1.8

10. Python Conditional Statements Exercise 1.9

11. Python Conditional Statements Exercise 1.10

12. Python Conditional Statements Exercise 1.11

13. Python Loops Exercise 1.12

14. Python Loops Exercise 1.13

15. Python Loops Exercise 1.14

16. Python Data Structures Exercise 1.15 Lists

17. Python Data Structures Exercise 1.16 Tuples

18. Python Data Structures Exercise 1.17 Sets

19. Python Data Structures Exercise 1.18 Dictionaries

20. Python Data Structures Exercise 1.19

21. Python Functions Exercise 1.20

22. Homework for Python Programming Tutorials

ส่วนที่ 2: Python for Data Science Tutorials

23. Introduction to Data Science Tutorials

24. Reading & Writing Files Exercise 2.1

25. Working CSV Files Exercise 2.2

26. Python NumPy Exercise 2.3

27. Python Pandas Exercise 2.4

28. Python Data Cleaning & Organizing Exercise 2.5

29. Python Data Analysis & Visualization Exercise 2.6

30. Homework for Python Data Science

ส่วนที่ 3: Python Data Cleaning

31. Introduction to Python Data Cleaning

32. Python Data Cleaning Exercise 3.1

33. Python Data Cleaning Exercise 3.2

34. Python Data Cleaning Exercise 3.3

35. Python Data Cleaning Exercise 3.4

36. Python Data Cleaning Exercise 3.5

37. Homework for Python Data Cleaning

ส่วนที่ 4: Python for Machine Learning

38. Introduction to Python Machine Learning

39. Mathematics & Statistics Exercise 4.1 Part 1

40. Mathematics & Statistics Exercise 4.1 Part 2

41. Mathematics & Statistics Exercise 4.1 Part 3

42. Mathematics & Statistics Exercise 4.1 Part 4

43. Supervised Learning Exercise 4.2 Linear Regression Part 1

44. Supervised Learning Exercise 4.2 Linear Regression Part 2

45. Supervised Learning Exercise 4.2 Linear Regression Part 3

46. Supervised Learning Exercise 4.2 Linear Regression Part 4

47. Supervised Learning Exercise 4.3 Decision Tree Part 1

48. Supervised Learning Exercise 4.3 Decision Tree Part 2

49. Supervised Learning Exercise 4.3 Decision Tree Part 3

50. Unsupervised Learning Exercise 4.4 Clustering Part 1

51. Unsupervised Learning Exercise 4.4 Clustering Part 2

52. Unsupervised Learning Exercise 4.4 Clustering Part 3

53. Supervised and Unsupervised Learning Decision Tree & Clustering

ส่วนที่ 5: Python for Data Visualization

54. Introduction to Python Data Visualization

55. Line Charts Exercise 5.1 Single Line Number

56. Line Charts Exercise 5.2 Single Line String

57. Line Charts Exercise 5.3 Multiple Line add Colors

58. Line Charts Exercise 5.4 Import Local File

59. Bar Charts Exercise 5.5 Single Bar Vertical

60. Bar Charts Exercise 5.6 Single Bar Horizontal

61. Bar Charts Exercise 5.7 Multiple Bar Vertical

62. Bar Charts Exercise 5.8 Multiple Bar Horizontal

63. Bar Charts Exercise 5.9 Add Label Top

64. Bar Charts Exercise 5.10 Add Label Alignment

65. Bar Charts Exercise 5.11 Add Label Center

66. Stacked Bar Charts Exercise 5.12 Multiple Stacked Bar Vertical

67. Stacked Bar Charts Exercise 5.13 Multiple Stacked Bar Horizontal

68. Stacked Area Charts Exercise 5.14 Stacked Area and Line Charts

69. Scatter Plot Exercise 5.15 Scatter Plot

70. Pie Charts Exercise 5.16 Pie Charts

71. Histogram Exercise 5.17 Histogram Bins

72. Histogram Exercise 5.18 Histogram Segment Bins

73. Histogram Exercise 5.19 Histogram Fixed Bins

74. Combo Charts Exercise 5.20 Combo Charts

75. Homework Python for Data Visualization

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