Overview of Data Analysis – Basics and importance

Roles in Data – Understanding the role of a Data Analyst

Introduction to Business Intelligence

Key Tasks of a Data Analyst

Power BI Desktop – Interface walkthrough and setup.

Classes & LibrariesCoBuilding Blocks of Power BI – Dashboards, reports, and visualizations.py

Importing Data – Connecting to sources like Excel, CSV, and SQL databases

Data Loading Modes – Differences between Import and DirectQuery

Data Transformation Basics – Cleaning, renaming, splitting columns, and filtering rows

Combining Data – Merging and appending queries for a unified dataset

Creating Relationships – Managing relationships between tables in Power BI

Introduction to DAX – Basics of Data Analysis Expressions (SUM, COUNT, AVERAGE)

Calculated Columns and Measures – Writing formulas for specific calculations

Date Tables – Creating and configuring a date table for time-based analysis

Visualizations – Bar, pie, line, and stacked charts

Tables and Matrices – Presenting data in tabular form

Filters and Slicers – Adding interactivity to reports

Formatting Visuals – Customizing colors, themes, labels, and layouts

Report Layouts – Designing structured and user-friendly layouts

Drill-Through and Page Navigation – Setting up interactive elements

KPIs and Cards – Highlighting key performance metrics

Bookmarks and Buttons – Enhancing navigation and user experience

DAX Time Intelligence – Year-to-date (YTD) and month-to-date (MTD) calculations

Conditional Formatting – Highlighting trends and top-performing values

Smart Narratives and Key Influencers – Deriving insights and explaining data trends

Manual Data Refresh – Refreshing and updating data in Power BI Desktop

Optimizing Data Models – Reducing model size and improving performance

Data Type Management – Choosing the correct data types for efficiency

Identifying and Fixing Issues – Troubleshooting errors in Power BI

Report Performance Tips – Best practices for creating efficient reports