The document outlines a 30-day training program for Power BI, covering topics such as data transformation, visualization, reporting, and advanced data analysis techniques. Each day focuses on a specific aspect of Power BI, culminating in a final project showcase. Additionally, it highlights the employment success of alumni from the program, suggesting strong career opportunities post-training.

1. M a g i c
in 30 days
PowerBi

2. 1
Day 1
Introduction to Power BI

3. 2
Day 2
Data Transformation and
Cleaning
Raw Data Transform Data

4. 3

5. 4
Day 3
Basic Data Visualization

6. 5

7. 6
Day 4
Exploratory Data Analysis

8. 7

9. 8
Day 5
Data Modeling & Relationships

10. 9

11. 10
Day 6
Advanced Data Visualization

12. 11

13. 12
Day 7
Data Insights & Storytelling

14. 13

15. 14
Day 8
Introduction to Power
Query Functions

16. 15

17. 16
Day 9
Power Query Parameters &
Advanced Transformations

18. 17

19. 18
Day 10
Publishing and Sharing
Power BI Reports

20. 19

21. 20
Day 11
Understanding Power BI's
Mobile Reports

22. 21

23. 22
Day 12
Exploring Power BI's Report
Themes

24. 23

25. 24
Day 13
Learning about Power BI's
DirectQuery and Live
Connection

26. 25

27. 26
Day 14
Understanding Power BI's R
Integration

28. 27

29. 28
Day 15
Learning about Power BI's
Python Integration

30. 29

31. 30
Day 16
Understanding Power BI's
Row-Level Security

32. 31

33. 32
Day 17
Exploring Power BI's API
and Automation

34. 33

35. 34
Day 18
Learning about Power BI's
Paginated Reports

36. 35

37. 36
Day 19
Learning about Power BI's
Dataflows

38. 37

39. 38
Day 20
Developing a Comprehensive
Power BI Project

40. 39

41. 40
Day 21
Advanced Visualization
Techniques

42. 41

43. 42
Day 22
Advanced Data Analysis
with DAX

44. 43

45. 44
Day 23
Advanced Data Modeling
and Relationships

46. 45

47. 46
Day 24
Advanced Data Transformation
with Power Query

48. 47

49. 48
Day 25
Data Visualization Best
Practices

50. 49

51. 50
Day 26
Performance Optimization and
Data Refresh

52. 51

53. 52
Day 27
Creating Dynamic Reports
with Power BI

54. 53

55. 54
Day 28
Advanced Data Analysis with
Python

56. 55

57. 56
Day 29
Report Distribution and
Collaboration

58. 57

59. 58
Day 30
Final Project Showcase and
Review

60. Why
Bosscoder?
750+
136% hike
2 out of 3
24LPA.
Alumni placed at Top
Product-based companies.
More than for every
working professional.
Average package of
.
Explore More