Learn PowerBi in 30 Days 🚀.pdf

Power BI

M a g i c
in 30 days
PowerBi
1
Day 1
Introduction to Power BI
2
Day 2
Data Transformation and
Cleaning
Raw Data Transform Data
3
4
Day 3
Basic Data Visualization
5
6
Day 4
Exploratory Data Analysis
7
8
Day 5
Data Modeling & Relationships
9
10
Day 6
Advanced Data Visualization
11
12
Day 7
Data Insights & Storytelling
13
14
Day 8
Introduction to Power
Query Functions
15
16
Day 9
Power Query Parameters &
Advanced Transformations
17
18
Day 10
Publishing and Sharing
Power BI Reports
19
20
Day 11
Understanding Power BI's
Mobile Reports
21
22
Day 12
Exploring Power BI's Report
Themes
23
24
Day 13
Learning about Power BI's
DirectQuery and Live
Connection
25
26
Day 14
Understanding Power BI's R
Integration
27
28
Day 15
Learning about Power BI's
Python Integration
29
30
Day 16
Understanding Power BI's
Row-Level Security
31
32
Day 17
Exploring Power BI's API
and Automation
33
34
Day 18
Learning about Power BI's
Paginated Reports
35
36
Day 19
Learning about Power BI's
Dataflows
37
38
Day 20
Developing a Comprehensive
Power BI Project
39
40
Day 21
Advanced Visualization
Techniques
41
42
Day 22
Advanced Data Analysis
with DAX
43
44
Day 23
Advanced Data Modeling
and Relationships
45
46
Day 24
Advanced Data Transformation
with Power Query
47
48
Day 25
Data Visualization Best
Practices
49
50
Day 26
Performance Optimization and
Data Refresh
51
52
Day 27
Creating Dynamic Reports
with Power BI
53
54
Day 28
Advanced Data Analysis with
Python
55
56
Day 29
Report Distribution and
Collaboration
57
58
Day 30
Final Project Showcase and
Review
Why

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