Data Analytics Using Power BI

Accelerate Your Career With Power BI Data Analytics Course

Transform your career with our 100% placement assistance Data Analytics using Power BI course at Euphoria GenX. As one of Microsoft’s leading business intelligence tools, Power BI enables you to convert complex, raw data into interactive, insightful dashboards. Meanwhile, Data Analytics helps uncover hidden patterns, trends, and actionable insights that drive smarter business decisions.

By mastering both, you’ll gain not only technical expertise but also a strategic, analytical mindset that is highly valued in today’s data-driven industries. As a result, this powerful combination equips you to translate data into meaningful stories, make informed decisions, and deliver measurable impact in any organization. Whether your goal is to become a Data Analyst, Business Intelligence Developer, or Analytics Consultant, this course provides the knowledge, practical experience, and confidence to succeed.

Moreover, our course emphasizes hands-on, career-focused training enhanced with AI-powered tools, real-time projects, and dedicated placement support. In addition, you’ll learn advanced data modeling, build AI-driven visual reports, and develop critical problem-solving skills, thereby preparing you for high-paying roles in analytics and business intelligence.

Data Analytics Using Power BI Course Contents

Module 1: SQL for Data Analytics

Introduction

• Introduction to SQL
• Installation, Importing Data

DDL

• Database Creation, Database Drop, Table Creation
• Table Drop
• Column Data Types
• Table Alter
• SQL Constraints

DML

• Select Query, Where Clause
• AND , OR, NOT Operators, LIKE Operators
• Order By, Limit, Between
• IN , NOT IN Operator, String Functions
• Data Aggregation, Numeric Functions
• Data Functions , Case Operator
• Group By, Having Clause
• Joins , Set Operators, Subqueries, Views
• Stored Procedure, Window Functions

Module 2: PYTHON for Data Analytics

Python Basics

• Introduction to Python for Data Analytics
• Python Intalltion in Windows
• Python IDE (vscode)
• First Program in Python
• Comments, Variables , Datatypes, User-inputs
• Typecasting, Subtypes, Problem-Solving
• Operators and Operands
• Conditional Statements

Python- Loops and Lists

• Introduction to Loops
• For Loops , While Loop, Nested Loops
• For Loops with Conditional Statements
• Break and Continue Statement
• Loop Problem Solving
• Installation to Lists
• Lists Slicing, Iteration ,Functions
• List Comprehension, Problem Solving

Tuples, Dictionaries, and Sets in Python

• Introduction to Tuples
• Tuples Slicing, Iteration , Functions , Problem Solving
• Introduction to Dictionaries
• Iteration, Functions, Nested Dictionaries, Problem Solving
• Introduction to Sets
• Set Methods, Problem Solving

Python Functions and Modules

• Introduction to Functions
• Parameters, Arguments, Return Statements, Recursion
• Lambda Functions, Local and Global Variable
• Functions Problem Solving
• Introduction to Modules, In-Built Modules
• Creation of Modules, Project Random Module

Python OOPS : Numpy and Data Manipulation

• Introduction to Numpy
• Installation of Jupyter Notebook
• Creation , Indexing, and Slicing of Numpy
• Mathematical Opeartions, Combining and Splitting Arrays

Pandas for Data Analysis

• Introduction to Pandas
• Creation of Data Frames, Exploring Data
• Dealing with duplicate values, Missing data
• Merge , Concatenate, Join in Pandas
• Pivoting and Melting Dataframes

Matplotlib for Data Visualization

• Introduction to Matplotlib
• Bar, Line, Scatter, Pie, Box, Histogram, Violin,, Stem Plots
• Stack Plot, Step Chart, Legends, Subplot
• Save a Chart using Matplotlib
• Data Visualization in Seaborn
• Seaborn Project

EDA( exploratory data analysis)

Module 3: Excel for Data Analytics

MS EXCEL

• Introduction to MS EXCEL
• Basic Functions, Data Validation
• Data Connectors, Conditional Formatting
• Basics of Formatting, Sorting, Filtering Data
• Dealing with Null Values, Duplicate Values
• Trimming Whitespaces , Text Functions
• IF, AND, OR Functions, Date & Time Functions
• COUNTIF, SUMIF, Cleaning and Transformation
• Creating a Dashboard in Excel , myExcel Project

Module 5: Power BI Essentials

Power BI

• Introduction to Powe Bi
• Installation of Power Bi Desktop
• Data Connectors, Basic Transformations
• Format Tool, Pivoting, Unpivoting of data
• Adding Conditional Columns, Merge queries
• Data model, Relationship Management
• Introduction to DAX, Calculated Columns, Measures
• DAX Functions, Visualizations , Filters
• Creating Reports, Custom Visuals
• Designing for Phone vs desktop Reports Viewers
• Publishing Reports to Power BI Services

Module 5: Projects

Projects

• Project 1
• Project 2
• Project 3