This course will cover different methods and best practices for modeling, visualizing, and analyzing data using Power BI. Course will also teach how to access and process data from various sources, including relational and non-relational data. Additionally, the course will explore implementing security standards and policies for datasets and groups in Power BI. it will discuss managing and deploying reports and dashboards for sharing and distributing content.
3 Days: 15 Hours
Saturdays 1.30 pm to 5.30 pm
Applicants who possess academic/ professional qualification(s) in marketing/business/data science/closely related field or with relevant industry experience
1 Introduction to Microsoft Power BI
2 Get Data into Power BI
3 Cleaning and Shaping data with Power Query
4 Introduction to Data Models
5 Design and build a model in Power BI
6 Build calculations in your model using DAX
7 Refine the data model with best practices
8 Build Power BI visuals and Reports
9 Work with advanced Filtering, Drill down, drill-through
10 Distribute Power BI Artifacts
11 Explore data in Power BI
12 Python for data analysis
13 Work with AI Visuals in Power BI
14 Implement security requirements
15 Power BI Administration
18 Power BI Licensing/ Certifications
ILO1: Obtain and integrate data from multiple data source.
ILO2: Adjust data with Power BI Desktop
ILO3: Ingest, clean, and transform data.
ILO4: Model data for performance and scalability
ILO5: Design and create reports for data analysis.
ILO6: Apply and perform advanced report analytics.
ILO7: Manage and share report assets.
Managers / Project managers
Investors & finance related professionals
Business subject matter experts
those individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises.