Here's the translation of
your Power BI course topics into English:
- What is Power BI
and its features
- Differences
between Power BI Desktop, Power BI Service, and Power BI Mobile
2. Data Input and Connection:
- Importing data
from various sources (Excel, SQL, Web, etc.)
- Setting up data
modeling and relationships
3. Data Cleaning and
Transformation:
- Transforming
data using Power Query Editor
- Data filtering
and transformation tools
4. Data Visualization:
- Creating various
types of visuals (charts, graphs, maps, tables, etc.)
- Using custom
visuals
5. Dashboard and Report Design:
- Creating report
pages
- Adding
interactive elements (slicers, dropdowns, etc.)
6. Data Analysis and DAX (Data
Analysis Expressions):
- Creating basic
DAX functions and calculations
- Using custom
measures and calculated columns
7. Publishing and Sharing:
- Publishing
reports to Power BI Service
- Sharing
dashboards and collaboration
8. Advanced Topics:
- Data analysis
functions (e.g., Time Intelligence)
- Using Power BI
custom visuals and extensions
9. Projects and Case Studies:
- Practical
application of course topics through a project
- Analyzing
real-life case studies
This outline should cover a
comprehensive Power BI course structure.