Power BI Complete Course: Beginner to Advanced

In this lecture, you will learn how to install Power BI Desktop and understand its basic interface, including Report View, Data View, and Model View. This lecture prepares you for hands-on data analysis in upcoming lessons.

In this lecture, you learned about the Power BI Home Page and Blank Report screen.You understood how to start a new report, explore the report canvas, visualizations pane, fields pane, and ribbon menu.

In this lecture, you will learn how to import your first dataset into Power BI using an Excel file.
You will understand how to use the Excel Workbook option from the Home tab and why it is the best choice for beginners.

This lecture explains:

• How to import data from an Excel file

• What the Navigator window is and how to select sheets or tables

• The difference between Load and Transform Data

• How to confirm that data is successfully loaded into Power BI

By the end of this lecture, you will be confident in importing datasets and preparing Power BI for report creation.

In this lecture, you will learn how to create your first simple report in Power BI using a stacked column chart.
You will understand how to select the right fields and why they are used in a report.

This lecture covers:

• How to create a stacked column chart

• Why Product Category is used on the X-Axis

• Why Sales Amount is used on the Y-Axis (Values)

• How Region in Legend helps split data for better analysis

• How to interpret the final report visually

By the end of this lecture, you will be confident in building a basic Power BI report and understanding the logic behind field selection.

In this lecture, you will be introduced to the Power Query Editor in Power BI.

You will learn what Power Query is, why it is important, and how it helps clean and transform data before analysis.This lecture builds a strong foundation for data preparation in Power BI.

this lecture, you will apply data cleaning techniques using a real sales dataset in Power BI.You will learn how to remove unnecessary columns, rename fields, change data types, handle missing values, and prepare clean data using Power Query Editor.

In this lecture, you will learn how to transform columns and rows using the Power Query Editor in Power BI.You will understand how to split columns, change text formats, replace values, remove or keep rows, and sort data.This lecture helps you reshape data into a clean and analysis-ready structure.

In this lecture, you will learn how to combine multiple tables in Power BI using the Power Query Editor.You will understand the difference between Merge Queries and Append Queries, when to use each method, and how to prepare combined data for reporting.

In this lecture, you will learn the core data modeling concept of Fact and Dimension Tables in Power BI.

You will understand:

• What is a Fact table and what type of data it contains

• What is a Dimension table and how it describes the data

• Why Fact & Dimension tables are important for Power BI reports

This lecture is explained in simple English with Marathi explanation, making it easy for beginners.
After this lecture, you will be ready to understand Star Schema in the next video.

In this lecture, we explain Star Schema and Snowflake Schema in a simple and practical way. You’ll understand what each schema is, how they are structured, and the key differences between them. We also discuss when to use Star Schema vs Snowflake Schema in Power BI and why Star Schema is most commonly recommended for better performance and easier reporting.

In this lecture, you will learn how to create and manage relationships in Power BI using multiple tables.

You will understand:

• What a relationship is and why it is important

• How to create a relationship when a unique ID is not available

• How to connect tables using Product Name in a learning scenario

• The difference between using names vs IDs in real-world projects

This lecture also explains best practices for data modeling and clearly mentions why IDs are preferred over names in professional Power BI projects.

By the end of this lecture, you will be able to create relationships confidently and understand how they impact reports and visuals.

In this lecture, you will learn what the Data Model View is in Power BI and why it is important. We will understand how tables are connected, how relationships work, and how the data model helps in building accurate reports.

Marathi:
या lecture मध्ये तुम्ही Power BI मधील Data Model View काय आहे आणि ते का महत्त्वाचं आहे हे शिकाल. Tables कशा connect होतात, relationships कशा काम करतात आणि data model मुळे accurate reports कसे तयार होतात हे आपण समजून घेऊ.

In this lecture, you will learn what DAX is in Power BI and why it is used. You will understand how DAX helps create measures and calculations for better data analysis.

Marathi:
या lecture मध्ये तुम्ही Power BI मधील DAX म्हणजे काय आणि तो कशासाठी वापरला जातो हे शिकाल. Measures आणि calculations तयार करण्यात DAX कसा उपयोगी पडतो हे समजून घ्याल.

This lecture explains the difference between Calculated Columns and Measures in Power BI.

या lecture मध्ये Power BI मधील Calculated Columns आणि Measures मधला फरक समजावून सांगितला आहे.

In this lecture, you will learn why the FILTER function is used in DAX and how to apply it using real Power BI examples.

Marathi:
या lecture मध्ये आपण FILTER DAX function का वापरतो आणि तो Power BI मध्ये कसा वापरायचा ते पाहिले.

In this lecture, you will learn how to use Time Intelligence functions like YTD, MTD, and YOY to analyze sales trends over time in Power BI.

Marathi:
या lecture मध्ये आपण Power BI मधील YTD, MTD आणि YOY Time Intelligence functions वापरून sales analysis कसा करायचा ते शिकलो.

In this lecture, you will learn how to create advanced DAX measures in Power BI using functions like CALCULATE, FILTER, DIVIDE, IF, and ALL. This lecture helps you build complex calculations and improve your reporting skills.

Marathi:
या lecture मध्ये आपण Power BI मध्ये advanced DAX measures कसे तयार करायचे ते शिकणार आहोत. CALCULATE, FILTER, DIVIDE, IF, आणि ALL हे functions वापरून complex calculations कसे करायचे ते समजेल.

In this lecture, you will build a complete Sales Dashboard in Power BI using cards, charts, and slicers to analyze sales performance interactively.

Marathi:
या lecture मध्ये Power BI वापरून cards, charts आणि slicers च्या मदतीने complete Sales Dashboard तयार केला जाईल.

In this lecture, you will learn how to format Power BI visuals effectively using best practices. We’ll cover color usage, alignment, titles, consistency, and how to design dashboards that are clear, professional, and business-friendly.

Marathi:
या lecture मध्ये आपण Power BI visuals कसे नीट format करायचे ते best practices सह शिकणार आहोत. Colors, alignment, titles, consistency आणि business users साठी clear व professional dashboard कसा design करायचा ते समजेल.