Your 1-Month Power BI Learning Roadmap π
Follow this step-by-step 4-week plan to master Power BI, from exploring data sources to creating impactful visualizations. Perfect for beginners aiming to boost their data skills!
Dr. Aditi Gupta
55.6K views β’ Apr 22, 2024
About this video
1 Month roadmap to Learn Power BI :
β Follow this schedule for next 1 month -
πWeek 1: Explore Data Source and Visualization
1. Understand different types of data sources supported by Power BI, such as databases, files, web services, and more.
2. Learn how to connect Power BI to various data sources
3. Explore the basics of data visualization principles, including chart types, formatting, and best practices
πWeek 2: Explore Power Query Editor
1. Dive into Power Query Editor functionalities for data transformation and cleaning.
2. Learn how to perform common data cleaning tasks, such as removing duplicates, handling missing values, and transforming data types
πWeek 3: Create 1 End-to-End Project
1. Choose a real-world dataset or scenario to work on.
2. Apply data modeling techniques to prepare the data for analysis.
3. Design insightful visualizations and dashboards to present the findings
πWeek 4: Explore Power BI Service
1. Understand the features and capabilities of the Power BI Service for sharing and collaboration
2. Learn how to publish reports and dashboards to the Power BI Service.
3. Explore features like data alerts, scheduled data refresh, and workspace management.
β To start learning, you can join our workshop for beginners.
LINK - https://techtip24workshop.com/
Aditi Gupta
Analytics Mentor
Subscribe us for more such informative content @techtip24
#dataanalytics #powerbi #powerbitraining #businessanalyst #dataanalyst #livetraining #techtip24
β Follow this schedule for next 1 month -
πWeek 1: Explore Data Source and Visualization
1. Understand different types of data sources supported by Power BI, such as databases, files, web services, and more.
2. Learn how to connect Power BI to various data sources
3. Explore the basics of data visualization principles, including chart types, formatting, and best practices
πWeek 2: Explore Power Query Editor
1. Dive into Power Query Editor functionalities for data transformation and cleaning.
2. Learn how to perform common data cleaning tasks, such as removing duplicates, handling missing values, and transforming data types
πWeek 3: Create 1 End-to-End Project
1. Choose a real-world dataset or scenario to work on.
2. Apply data modeling techniques to prepare the data for analysis.
3. Design insightful visualizations and dashboards to present the findings
πWeek 4: Explore Power BI Service
1. Understand the features and capabilities of the Power BI Service for sharing and collaboration
2. Learn how to publish reports and dashboards to the Power BI Service.
3. Explore features like data alerts, scheduled data refresh, and workspace management.
β To start learning, you can join our workshop for beginners.
LINK - https://techtip24workshop.com/
Aditi Gupta
Analytics Mentor
Subscribe us for more such informative content @techtip24
#dataanalytics #powerbi #powerbitraining #businessanalyst #dataanalyst #livetraining #techtip24
Video Information
Views
55.6K
Likes
928
Duration
0:08
Published
Apr 22, 2024
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