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Learn PowerBi in 30 Days 🚀.pdf
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.
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