Certificate Authentication

🗓 Day 1: Data Wrangling Foundations & Power Query

📌 Objective: Build a solid understanding of data wrangling, introduce Power Query for transformations, and provide a structured intro to Power BI.

Session 1: Introduction to Data Wrangling (1.5 hours)

🔹 What is Data Wrangling & Why is it Important?

• The role of data wrangling in analytics & AI
• Common data challenges & pitfalls

🔹 Data Quality Issues & Cleaning Strategies

• Missing values, duplicates, inconsistencies
• Case study: How bad data impacts decision-making

📌 💡 Hands-On Activity: "Data Detective" (Group Work)

• Teams receive a messy dataset and must:
  ✅ Identify key issues
  ✅ Propose cleaning strategies
  ✅ Discuss the impact on analytics

Session 2: Power Query for Data Transformation (2.5 hours)

🔹 Introduction to Power Query Editor

• Power Query UI walkthrough
• Applied steps: Filtering, merging, appending datasets

🔹 Advanced Data Cleaning & Transformations

• Handling missing values, text inconsistencies, outliers
• Unpivoting, pivoting, and reshaping data

📌 💡 Hands-On Challenge: "Fix This Data!" (Group Activity)

• Each group is given a messy dataset
• They must clean & structure the data using Power Query
• Bonus: Optimize transformation steps for performance

Session 3: Introduction to Power BI (2 hours)

🔹 Overview of Power BI Components

• Power Query vs. Data Modeling vs. Visualization
• How Power BI connects to different data sources

🔹 Building a Simple Report in Power BI

• Loading data & creating a basic dashboard
• Connecting Power Query transformations to visuals

📌 💡 Hands-On Challenge: "First Power BI Dashboard" (Individual Work)

• Import a dataset, apply basic transformations
• Create a simple visual report

🔹 Optional Session 4: Python for Data Wrangling (1.5 hours)

📌 When to Use Python vs. Power Query

• Strengths & limitations of each tool

🔹 Intro to pandas for Data Wrangling

• Cleaning missing data & outliers
• Data type conversions & transformations

📌 💡 Hands-On Challenge: “Power Query vs. Python”

• Perform the same transformation using Power Query & Python

📌 🔹 Wrap-Up & Q&A (30 mins)

• Recap & troubleshooting
• Preview of Data Modeling & DAX (Day 2)

 

 

🗓 Day 2: Data Modeling & Advanced DAX

📌 Objective: Optimize data modeling and master DAX for powerful calculations.

Session 5: Data Modeling Fundamentals (2 hours)

🔹 Building an Efficient Data Mode

• Star vs. Snowflake schema for Power BI performance
• Handling many-to-many relationships

📌 💡 Group Hands-On: “Redesign This Data Model”

• Teams are given a flawed data model and must redesign it.

Session 6: Advanced DAX – Going Beyond Basics (3 hours)

🔹 DAX Deep Dive: Beyond Basic Measures

• Row Context vs. Filter Context
• Advanced Time Intelligence Functions (YTD, QTD, Moving Averages)

📌 💡 Hands-On Challenge: "DAX Formula Battle" (Group Work)

• Teams receive business questions requiring complex DAX formulas.

Session 7: Automating Reports & Data Refresh (2 hours)

🔹 Incremental Refresh & Power Automate Integration

• Setting up dynamic parameters for automation

📌 💡 Hands-On Challenge: “Automate Your Data!”

• Each team configures an automated refresh workflow for a dataset.

📌 🔹 Wrap-Up & Q&A (30 mins)

• Recap & troubleshooting
• Preview of Dashboarding & Storytelling (Day 3)

 

 

🗓 Day 3: Advanced Data Visualization & Storytelling

📌 Objective: Build interactive dashboards and communicate insights effectively.

Session 8: Data Storytelling & Visualization Best Practices (2 hours)

🔹 Principles of Effective Dashboard Design

• Choosing the right charts & layouts
• Avoiding misleading visuals

📌 💡 Group Activity: “Fix This Dashboard”

• Teams receive a badly designed dashboard and must improve it.

Session 9: Interactive Dashboards & Custom Visuals (3 hours)

🔹 Enhancing User Experience in Power BI

• Slicers, Filters, Drill-Throughs, Bookmarks
• What-If Parameters for scenario analysis

📌 💡 Hands-On Challenge: “Create a Dynamic Dashboard”

• Teams build an interactive dashboard using real-world data.

Session 10: Presenting Insights & Final Project (3 hours)

📌 💡 Final Group Project: “Tell the Data Story”

• Teams present their dashboards as if to executives.

📌 🔹 Live Feedback & Peer Review

• Participants critique and suggest improvements.

📌 🚀 Final Wrap-Up & Next Steps (30 minutes)

• Best practices recap
• Resources for further learning
• Certificates & closing remarks