Best Data Analytics Course in Indore with Job Placement

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Data Analytics
Duration 16 Weeks

Start your career with the best Data Analytics Course in Indore. Our 16-week bootcamp offers hands-on training in Excel, SQL, Power BI, Python, and more.

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Explore Your Career Opportunities

Discover the in-demand job opportunities available after completing this course.

Data Analyst

₹7 – 15 LPA

Business Analyst

₹6 – 10 LPA

Data Visualization Analyst

₹10 – 16 LPA

SQL / Database Analyst

₹8 – 12 LPA

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What you’ll learn in 16 Weeks?

In just four months, our Data Analytics Course in Indore will equip you with essential skills in Excel, SQL, Python, and Power BI.
You'll gain hands-on experience through real-world projects, mastering data cleaning,.
data visualization, and statistical analysis. By the end of this data analytics training in Indore, you'll have a strong foundation to launch your career with confidence.

Module 1

Introduction to Data Analytics

  • What is Data Analytics?
  • Analytics Lifecycle & Types
  • Tools and Technologies Used
  • Real-world Use Cases
  • Career Paths and Roles in Analytics
Module 2

Python Programming Fundamentals

  • Introduction to Python & Why Learn It
  • Setting Up Python (Jupyter, VS Code) and Basic Syntax
  • Variables, Data Types, Operators & Strings
  • Conditional Statements and Loops (For, While)
  • Functions (Built-in & User-Defined)
  • Modules, Packages & Basic Debugging
Module 3

Python – Data Structures & Functional

  • Lists, Tuples, Sets, Dictionaries
  • List & Dictionary Comprehension
  • File Handling (Text, CSV)
  • Exception Handling
  • Map, Filter, Reduce
Module 4

Data Handling with Pandas & NumPy

  • Pandas Overview: Series & DataFrames
  • Reading/Writing CSV, Excel, and Text Files
  • Indexing, Filtering, and Sorting Data
  • Merging, Joining, Concatenating DataFrames
  • Handling Missing and Duplicate Data
Module 5

Data Visualization – Matplotlib

  • Intro to Matplotlib – Basic Plots & Customizations
  • Common Charts: Line, Bar, Scatter, Histogram, Pie
  • Intro to Seaborn – Styling with Ease
  • Statistical Visuals: Boxplot, Heatmap, Pair plot
  • Combining Visual Libraries with Pandas
Module 6

Exploratory Data Analysis (EDA) & Statistics

  • EDA Process: Why and How
  • Descriptive Statistics in Pandas
  • Measures of Central Tendency and Dispersion
  • Detecting Outliers & Data Distribution
  • Correlation and Covariance
  • Feature Engineering Basics
  • Hypothesis Testing Overview
  • EDA Reporting with Python Visuals
Module 7

SQL for Data Analysis

  • SQL Basics
  • Databases & Relational Concepts
  • Data Types & Table Design
  • DDL, DML, DCL, and TCL
  • Constraints, Operator and Relationships
  • Filtering, Sorting, and Aggregation
  • GROUP BY, HAVING, and Clauses
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries and Nested Queries
  • Window Functions & Ranking
  • Date, String, and Numeric Functions
  • Triggers, Views, and Stored Procedures
  • Python & SQL Integration
Module 8

Data Visualization with Power BI

  • Power BI Overview & Installation
  • Power Query: Data Transformation
  • Data Modeling & Relationships
  • Writing DAX Functions
  • Creating Visuals and Reports
  • Dashboards & Sharing Online
Module 9

Data Visualization with Tableau

  • Tableau Interface & Navigation
  • Connecting to Various Data Sources
  • Worksheets, Dashboards, Stories
  • Filters, Parameters, Calculated Fields
  • Advanced Visuals & Interactivity
Module 10

Excel for Data Analytics

  • Excel Interface Overview
  • Data Entry, Formatting & Cleaning
  • Formulas and Built-in Functions
  • IF, VLOOKUP, INDEX-MATCH
  • Text, Date & Math Functions
  • Conditional Formatting & Data Validation
  • Pivot Tables and Charts
  • Sorting, Filtering, and Named Ranges
  • Excel Dashboards – Tips & Templates
  • Importing and Exporting Data

Want the full 15+ module list?

Download the brochure to view the detailed curriculum and course flow.

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Frequently asked Questions

Check out some frequently asked questions.

No worries if you’re a beginner! This course is designed for freshers and professionals alike. We start from scratch and guide you step by step to build a strong foundation in data analytics.

You’ll learn all the essential tools and techniques like Excel, SQL, Python, data cleaning, data visualization with Power BI, and statistical analysis — along with real-world projects to apply what you learn.

You’ll get hands-on experience with Excel, SQL, Python, Power BI, and popular data analysis libraries — everything you need to confidently step into the world of data analytics.

After completing the course, you can explore roles like Data Analyst, Business Analyst, or even Data Consultant — whether it’s with startups or large companies.

Yes! From portfolio building to resume assistance and interview preparation, we provide full support to help you land your first job in the analytics field

Definitely. Even after the course ends, you’ll be part of our alumni network with access to expert sessions, career guidance, and ongoing support.

Our course fees depend on the format and duration you choose. We offer flexible payment plans so that learners from all backgrounds can join without financial stress.

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