Master Power BI

Master Power BI Development (6-Week Intensive)

Course Duration: 6 Weeks
Mentorship: Industry experts in data analytics and Power BI will guide you through your learning journey.
Mode of Learning: Online, Self-paced + Weekly Live Sessions

Week 1: Introduction to Power BI & Data Visualization Basics

• What is Power BI?:

  • Overview of Power BI tools (Power BI Desktop, Power BI Service, and Power BI Mobile).
  • Key concepts: Reports, Dashboards, and Data Models.
  • Installing and setting up Power BI Desktop.

• Introduction to Data Visualization:

  • Principles of effective data visualization.
  • Different types of charts and graphs in Power BI (bar charts, line charts, pie charts, etc.).
  • Basic interactions in Power BI: Filtering, drilling down, and cross-filtering.

• Connecting to Data Sources:

  • Importing data from various sources (Excel, CSV, databases, and web).
  • Understanding data types and basic data cleaning.

• Project 1: Basic Sales Report:

  • Create a basic sales report by connecting to a sample dataset, applying filters, and displaying key metrics in different chart formats.

Outcome: Gain a solid foundation in the Power BI interface, visualizations, and basic data importation.

Week 2: Data Transformation with Power Query

• Data Cleaning and Transformation:

  • Introduction to Power Query for data cleaning and transformation.
  • Removing duplicates, filtering rows, and handling missing values.
  • Changing data types, renaming columns, and creating custom columns.

• Data Aggregation and Grouping:

  • Using Group By for data aggregation (sum, count, average, etc.).
  • Merging and appending queries for more complex datasets.

• Advanced Data Transformations:

  • Introduction to custom formulas in Power Query (using M language).
  • Using date/time transformations and handling hierarchies.

• Project 2: Customer Demographics Dashboard:

  • Transform raw customer data into a clean dataset and create a demographic dashboard displaying key information like age groups, locations, and sales performance.

Outcome: Learn how to clean, transform, and prepare data using Power Query to create insightful visualizations.

Week 3: Data Modeling in Power BI

• Introduction to Data Models:

  • Understanding data models in Power BI: Relationships, tables, and columns.
  • Creating relationships between tables (one-to-one, one-to-many, many-to-many).

• Building a Data Model:

  • Star schema vs. Snowflake schema.
  • Adding calculated columns and measures using DAX (Data Analysis Expressions).

• DAX Basics:

  • Basic DAX functions: SUM, AVERAGE, COUNT, and more.
  • Introduction to calculated tables and measures.
  • Using time intelligence functions in DAX (YTD, MTD, QTD).

• Project 3: Financial Dashboard:

  • Build a financial performance dashboard using multiple tables (e.g., sales, expenses, and profit data) and create DAX measures for key financial metrics.

Outcome: Master the creation of data models and the use of DAX for advanced calculations in Power BI.

Week 4: Advanced DAX and Power BI Features

• Advanced DAX Functions:

  • Advanced calculations with DAX: CALCULATE, FILTER, ALL, and RELATED.
  • Time Intelligence: Year-over-year, quarter-over-quarter, and month-over-month comparisons.

• Power BI Advanced Features:

  • Conditional Formatting: Formatting tables and visualizations based on specific conditions.
  • Drillthrough and Tooltip Pages for detailed reporting.
  • Parameters and slicers for dynamic reporting.

• Project 4: Sales Performance Dashboard:

  • Create a dynamic sales performance dashboard with advanced DAX measures, slicers for filtering data, and conditional formatting to highlight top-performing products or regions.

Outcome: Enhance your DAX skills and learn advanced Power BI features for more interactive and insightful reports.

Week 5: Power BI Services & Collaboration

• Publishing to Power BI Service:

  • How to publish reports from Power BI Desktop to Power BI Service.
  • Understanding workspaces and apps in Power BI Service.

• Sharing and Collaboration:

  • Creating dashboards and sharing them with others.
  • Setting up data refresh schedules and gateways.
  • Collaboration features: Comments, subscriptions, and alerts.

• Power BI Mobile:

  • How to view and interact with Power BI reports on mobile devices.

• Project 5: Collaborative Marketing Dashboard:

  • Develop a dashboard that is shared and published to Power BI Service for team collaboration. Set up automatic data refresh and share it with stakeholders.

Outcome: Become proficient in using Power BI Service for collaboration and sharing reports, dashboards, and data insights.

Week 6: Final Project & Career Preparation

• Final Project:

  • Build a comprehensive Power BI dashboard based on your choice of business or analytics domain (e.g., sales, finance, marketing, HR).
  • The dashboard should include data cleaning, transformation, advanced DAX measures, and be suitable for publishing on Power BI Service.

• Career Preparation:

  • Portfolio Building: Finalize your portfolio with the best reports and dashboards.
  • Interview Preparation: Prepare for common Power BI-related interview questions and data analysis challenges.

• Project 6: Final Capstone Project:

  • Complete your final project, ensuring it demonstrates all skills learned throughout the course: data connection, transformation, modeling, DAX, advanced visualizations, and collaboration.

Outcome: By the end of the course, you will have a complete and professional Power BI dashboard ready to showcase to potential employers or clients.

Major Projects:

• Basic Sales Report (Week 1)

  • Core Skills: Connecting to data sources, basic visualizations, filtering, and chart creation.

• Customer Demographics Dashboard (Week 2)

  • Core Skills: Data cleaning, transformation, and basic reporting.

• Financial Dashboard (Week 3)

  • Core Skills: Data modeling, creating relationships, and using DAX for calculations.

• Sales Performance Dashboard (Week 4)

  • Core Skills: Advanced DAX, dynamic reports, and advanced Power BI features.

• Collaborative Marketing Dashboard (Week 5)

  • Core Skills: Power BI Service, sharing, collaboration, and automatic data refresh.

• Final Capstone Project (Week 6)

  • Core Skills: Full Power BI development lifecycle—data connection, cleaning, modeling, advanced DAX, visualization, and publishing.

Mentorship at Eduveda Academy:

• Industry Mentor Assignment:

  • You will be paired with a Power BI expert who will review your work, provide feedback, and give guidance on industry best practices.
  • 1-on-1 mentoring sessions for project reviews, troubleshooting, and career advice.

• Weekly Live Q&A Sessions:

  • Engage in interactive sessions to solve problems, discuss Power BI challenges, and learn additional tips.

Final Notes:

• Weekly Live Sessions: Participate in live Q&A to clear doubts, get feedback on projects, and enhance your learning.
• Peer Networking: Join the academy’s Slack group to collaborate with peers, share insights, and exchange feedback.
• Deployment: By the end of the course, you’ll have several reports and dashboards ready to showcase to potential employers or clients.

This 6-week course is designed to equip you with the necessary skills to become proficient in Power BI, from basic reporting to advanced dashboards and data analysis. You’ll leave with a solid portfolio of professional projects, ready to apply for data analyst or business intelligence roles.