Data Analyst Course in Chennai

Master Program 4.9 Reviews 12k+ Learners

Hejex Technology's Data Analyst Course in Chennai is designed to help you become an industry-ready professional in just 90 days. You will gain in-depth knowledge of Excel, SQL, Python, and Power BI, and learn how to apply these skills in real-time projects, guided by experienced mentors. Our job-oriented curriculum offers 100% placement support, which includes resume building, mock interviews, and personalized career mentorship. This support will help you confidently secure your dream job in Data Analytics.

  • Industry-focused Data Analyst Course in Chennai designed by expert professionals.
  • Comprehensive coverage of tools Excel, SQL, Python, Power BI, NumPy, Pandas, Seaborn, and Matplotlib.
  • 100% Placement Assistance with resume building and interview preparation.
Data Analyst Course in Chennai

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Our Data Analytics Training in Chennai at Hejex Technology emphasizes practical learning, ensuring that you understand data visualization, business insights, and reporting techniques used by leading companies.

5 Students Batch
10+ Live Projects
100% Job Assistance
240+ Hrs Duration

Overview of Data Analyst Course in Chennai

The Data Analyst Course in Chennai at Hejex Technology is designed to help learners build a strong foundation in the data analytics domain by combining theory with real-world practice. This course provides an in-depth understanding of how data is collected, cleaned, analyzed, and visualized to support business decisions. you’ll gain hands-on experience using tools such as Excel, SQL, Python, Power BI, NumPy, Pandas, Seaborn, and Matplotlib. With step-by-step guidance from industry expert trainers, you’ll learn to transform raw data into meaningful insights, create data-driven reports, and make strategic recommendations for business growth.

Data Analytics Course in Chennai

Whether you are a fresher, student, or professional looking to switch careers, this program is structured to help you become a job-ready Data Analyst or Business Intelligence professional. By the end of the training, you’ll have the skills and confidence to work on live datasets, interpret trends, and contribute effectively to data-driven decision-making in top companies.

Tools Covered in Data Analytics Course

Excel
Validation
Adv. Excel
Project - I
SQL
Expression
Advanced SQL
Power BI
DAX
Project - II
Python
Numpy
Pandas
SeaBorne
Matplotlib
Final Project - III

Why Enroll in Data Analyst Course in Chennai at Hejex Technology?

  • Industry Expert Trainers : You'll learn from professional mentors with over 11 years of real-world experience in data analytics.
  • Practical Learning Approach : Gain hands-on experience in data visualization, predictive analytics, and business insights.
  • Free Placement Training : Our dedicated placement program includes resume building, aptitude practice, and mock interviews to enhance your job readiness.
  • Exclusive Learning Resources : Access GitHub practice repositories, coding challenges, and interview preparation guides.
  • 100% Placement Support : Our dedicated placement team helps connect you with top companies and secure a job.
  • Trusted by Over 12,000 Students : Join a robust alum network of successful data professionals working in leading firms.
  • Flexible Batch Options You can choose from weekday, weekend, or fast-track classes to fit your schedule.
  • Comprehensive Data Analytics Training : Students will Learn Excel, SQL, Python, and Power BI through interactive sessions and real-time projects.
Data Analytics Training in Chennai

Who Can Take Data Analytics Course?

  • Fresh graduates aspiring to start a career as a Data Analyst or Business Intelligence professional.
  • Working professionals from non-technical backgrounds looking to switch to data analytics roles.
  • IT and software professionals aiming to enhance their analytics, visualization, and reporting skills.
  • Students pursuing degrees in Engineering, Computer Science, Commerce, or Mathematics who want to specialize in Data Analytics.
  • Business professionals and managers seeking to make data-driven decisions using tools like Excel, SQL, and Power BI.
  • Anyone passionate about data, analytics, and insights who wants to upskill for a future-ready career.

Data Analytics Trainer Profile

Our Trainer has delivered data analytics solutions for multinational clients across banking and healthcare. At Hejex Technology, they bring this real-world experience directly into every session teaching students to solve the same problems that real companies face with their data.

  • Industry-experienced trainers with strong expertise in data analytics and business intelligence.
  • Real-time, hands-on training using live datasets and practical case studies.
  • Guidance on data-driven decision-making and analytics best practices.
  • Continuous concept reviews to ensure strong practical understanding.
  • Support for interview preparation and resume building.
  • Trainers stay updated with the latest tools and industry trends.

Data Analyst Course Syllabus

Download Syllabus (PDF)

Introduction to Data Analytics

  • Data Analytics Overview
  • Importance of Data Analytics
  • Types of Data Analytics
  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Benefits of Data Analytics
  • Data Visualization for Decision Making
  • Data Types
  • Measure Of central tendency
  • Measures of Dispersion

Excel Basic to Advanced

  • Excel tutorial
  • Text to Columns
  • Concatenate
  • The Concatenate Function
  • The Right Function with Concatenation
  • Absolute Cell References
  • Data Validation
  • Time and Date Calculations
  • Conditional Formatting
  • Exploring Styles and Clearing Formatting
  • Using Conditional Formatting to Hide Cells
  • Using the IF Function
  • Changing the “Value if false” Condition to Text
  • Pivot Tables
  • Creating a Pivot Table
  • Specifying PivotTable Data
  • Changing a PivotTables Calculation
  • Filtering and Sorting a PivotTable
  • Creating a PivotChart
  • Grouping Items
  • Updating a PivotTable
  • Formatting a PivotTable
  • Using Slicers
  • Charts
  • Creating a Simple Chart
  • Charting Non-Adjacent Cells
  • Creating a Chart Using the Chart Wizard
  • Modifying Charts
  • Moving an Embedded Chart
  • Sizing an Embedded Chart
  • Changing the Chart Type
  • Chart Types
  • Changing the Way Data is Displayed
  • Moving the Legend
  • Formatting Charts
  • Adding Chart Items
  • Formatting All Text
  • Formatting and Aligning Numbers
  • Formatting the Plot Area
  • Formatting Data Markers
  • Pie Charts
  • Creating a Pie Chart
  • Moving the Pie Chart to its Own Sheet
  • Adding Data Labels
  • Exploding a Slice of a Pie Chart
  • Data Analysis − Overview
  • Types of Data Analysis
  • Data Analysis Process
  • Working with Range Names
  • Copying Name using Formula Autocomplete
  • Range Name Syntax Rules
  • Creating Range Names
  • Creating Names for Constants
  • Managing Names
  • Scope of a Name
  • Editing Names
  • Applying Names
  • Using Names in a Formula
  • Viewing Names in a Workbook
  • Copying Formulas with Names
  • Difference between Tables and Ranges
  • Create Table
  • Table Name
  • Managing Names in a Table
  • Table Headers replacing Column Letters
  • Propagation of a Formula in a Table
  • Resize Table
  • Remove Duplicates
  • Convert to Range
  • Table Style Options
  • Table Styles
  • Cleaning Data with Text Functions
  • Removing Unwanted Characters from Text
  • Extracting Data Values from Text
  • Formatting Data with Text Functions
  • Date Formats
  • Conditional Formatting
  • Sorting
  • Filtering
  • Lookup Functions
  • Pivoting

Structured Query Language

    Module 1: Fundamentals of SQL
  • Introduction to SQL
  • Installation and Configuration of SQL
  • Understanding Databases and Tables
  • SQL Workbench Overview
  • SQL Syntax and Data Types
  • Creating and Managing Databases
  • Creating Tables and Defining Columns
  • Primary Key, Foreign Key, and Constraints
  • Inserting, Updating, and Deleting Records
  • Selecting Data using SELECT Statements
  • Filtering Records using WHERE Clause
  • Sorting Results using ORDER BY
  • Limiting Results using LIMIT
  • Using DISTINCT and Aliases
  • Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
  • GROUP BY and HAVING Clauses
  • Basic String and Numeric Functions
  • Working with Date and Time Functions
  • Using LIKE and Wildcards for Pattern Matching
  • NULL Handling in SQL
  • Understanding Operators (AND, OR, NOT, BETWEEN, IN)
  • Backup and Restore Databases
  • Exporting and Importing Data in SQL
  • SQL Basic Project
    Module 2: Advanced SQL
  • Advanced Filtering and Complex WHERE Clauses
  • Joins in SQL (INNER, LEFT, RIGHT, FULL, CROSS)
  • Self Joins and Multi-table Joins
  • Subqueries and Nested Queries
  • Common Table Expressions (CTE)
  • UNION and UNION ALL Operations
  • Working with Views (Create, Update, Drop)
  • Indexes and Performance Optimization
  • Stored Procedures and Functions
  • Triggers and Events in SQL
  • Transactions and ACID Properties
  • Understanding Relationships and Referential Integrity
  • CASE Statements and Conditional Logic
  • Window Functions (RANK, DENSE_RANK, ROW_NUMBER)
  • Dynamic Queries and Prepared Statements
  • SQL Intermediate Project

Power BI

    Module 1: Power BI for Data Analyst
  • Introduction to Power BI
  • Understanding Business Intelligence Concepts
  • Installing and Setting up Power BI Desktop
  • Overview of Power BI Interface
  • Connecting Power BI with Excel and CSV Files
  • Connecting to Databases (SQL, MySQL, etc.)
  • Understanding Data Sources and Data Loading
  • Data Transformation using Power Query Editor
  • Applying Basic Transformations (Rename, Replace, Split, Merge)
  • Handling Missing Values and Duplicates
  • Understanding Data Types and Formatting
  • Introduction to Data Modeling
  • Creating Relationships between Tables
  • Introduction to DAX (Data Analysis Expressions)
  • Creating Basic Measures and Calculated Columns
  • Working with Filters, Slicers, and Sort Options
  • Introduction to Visualizations
  • Creating Basic Charts (Bar, Column, Line, Pie)
  • Formatting and Customizing Visuals
  • Introduction to Power BI Service (Cloud)
  • Power BI Beginner Mini Project
    Module 2: Power BI DAX
  • Advanced Data Transformation in Power Query
  • Merging and Appending Queries
  • Creating Hierarchies and Groups
  • Understanding and Building Complex Relationships
  • Advanced DAX Functions (CALCULATE, FILTER, RELATED, SWITCH)
  • Using Time Intelligence Functions
  • Creating Dynamic Measures and KPIs
  • Working with Cards, Tables, and Matrix Visuals
  • Using Advanced Filters and Drill-through Features
  • Creating Interactive Dashboards
  • Using Bookmarks and Buttons for Navigation
  • Creating and Customizing Charts (Funnel, Gauge, Tree Map)
  • Waterfall and Combo Charts
  • Map Visualizations (Filled Map, ArcGIS, and Shape Maps)
  • Conditional Formatting and Visual Interactions
  • Using Tooltips and Report Page Tooltips
  • Implementing Row-Level Security (RLS)
  • Publishing Reports to Power BI Service
  • Sharing and Collaborating in Power BI
  • Power BI Project

Python for Data Analytics

    Module 1: Python for Data Analytics
  • Introduction to Python
  • Fundamentals of Python
  • Installation of Python
  • Variables
  • Datatypes
  • Output & Input
  • Conditional Statements
  • Looping Structure
  • Functions
  • Introduction to Data Structure
  • List
  • Tuple
  • Dictionary
  • Sets
  • Strings
    Module 2: NumPy for Data Analytics
  • Introduction to NumPy
  • Installing and Importing NumPy
  • Understanding ndarrays
  • Creating NumPy Arrays
  • Array Indexing and Slicing
  • Array Data Types and Attributes
  • Array Operations (Arithmetic, Comparison, Logical)
  • Broadcasting in NumPy
  • Array Reshaping and Flattening
  • Stacking and Splitting Arrays
  • Copy vs View in NumPy
  • Iterating Over Arrays
  • Mathematical and Statistical Functions
  • Universal Functions (ufuncs)
  • Random Module in NumPy
  • Generating Random Numbers
  • Sorting, Searching, and Counting in Arrays
  • Handling Missing Values (NaN)
  • NumPy String Operations
  • Working with Dates and Time in NumPy
    Module 2: Pandas for Data Analytics
  • Introduction to Pandas
  • Installing and Importing Pandas
  • Understanding Series and DataFrames
  • Creating Series and DataFrames
  • Reading and Writing Data (CSV, Excel, JSON, SQL)
  • Inspecting and Exploring Data
  • Selecting Rows and Columns
  • Indexing, Slicing, and Subsetting Data
  • DataFrame Attributes and Methods
  • Adding, Modifying, and Deleting Columns
  • Handling Missing Data (NaN)
  • Filtering Data with Conditions
  • Sorting Data (sort_values and sort_index)
  • Renaming Columns and Indexes
  • Working with Duplicates
  • Data Cleaning and Transformation
  • String Operations in Pandas
  • Applying Functions (apply, map, applymap)
  • Aggregation and GroupBy Operations
  • Merging, Joining, and Concatenating DataFrames
  • Real-Time Data Analysis Project using Pandas
    Module 3: Python Visualization Libraries
  • Introduction to Data Visualization
  • Introduction to Matplotlib
  • Installing and Importing Matplotlib
  • Understanding Figure, Axes, and Subplots
  • Creating Basic Plots (Line, Scatter, Bar)
  • Customizing Plots (Titles, Labels, Legends)
  • Adding Gridlines, Ticks, and Text Annotations
  • Working with Multiple Plots and Subplots
  • Customizing Colors, Markers, and Line Styles
  • Bar Charts and Horizontal Bar Charts
  • Pie Charts and Donut Charts
  • Histograms and Density Plots
  • Box Plots and Violin Plots
  • Scatter Plots with Multiple Variables
  • Saving and Exporting Charts
  • 3D Plotting with Matplotlib
  • Styling and Themes in Matplotlib
  • Integrating Matplotlib with Pandas
  • Plotting Real-Time Data
  • Matplotlib Mini Project
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Data Analytics Projects

Our Data Analytics projects are designed to give learners real-world exposure through hands-on problem solving using live business datasets. These industry-focused projects help you build a strong portfolio, sharpen analytical thinking, and become job-ready from day one.

Project 1
Sales Performance Analytics Dashboard

Analyze multi-region sales data to uncover revenue trends, top-performing products, and seasonal patterns using Power BI and SQL. This project builds strong business intelligence and interactive dashboarding skills.

Project 2
Customer Behavior & Segmentation Analysis

Use real-world customer datasets to segment users based on purchasing behavior, demographics, and engagement using Python and Pandas. This project strengthens data-driven marketing and retention strategy skills.

Project 3
Financial Risk & Credit Score Analysis

Develop a predictive model to evaluate customer creditworthiness using historical financial data and Stats. This project focuses on risk analytics, feature engineering, and predictive insights.

Project 4
HR Analytics – Employee Attrition Prediction

Build an analytics solution to identify key factors influencing employee turnover using Python, Excel, and Power BI. This project enhances workforce analytics and strategic decision-making capabilities.

Project 5
E-Commerce Price & Product Trend Analysis

Analyze large-scale e-commerce data to track pricing trends, best-selling categories, and customer demand patterns using SQL and Python. This project sharpens retail analytics and competitive market analysis skills.

Final Project
Real-Time Business Intelligence Capstone

Design a complete end-to-end analytics solution integrating data cleaning, SQL querying, Python analysis, and Power BI visualization to solve a real business problem from data to dashboard.

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Data Analytics Certification Course

On successful completion of the Data Analytics Training Program at Hejex Technology, every learner receives an industry-recognized certification that validates their practical skills and job readiness. This certification reflects your real-time project exposure, technical expertise, and hands-on experience gained throughout the course.

At Hejex Technology, certification is awarded only after successful completion of hands-on projects, assessments, and practical training modules. This ensures that every certified candidate holds real-world, implementable skills rather than just theoretical knowledge.

Data Analyst Certifications Course in Chennai

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Frequently Asked Questions Data Analyst Course in Chennai

What is covered in the Data Analyst Course in Chennai at Hejex Technology?

The Data Analyst Course at Hejex Technology in Chennai covers six major areas: Microsoft Excel (Basic to Advanced, Pivot Tables, VLOOKUP, Data Validation), SQL (Fundamentals and Advanced — Joins, CTEs, Window Functions, Stored Procedures), Power BI (Dashboards, DAX, Power Query, Row-Level Security), Python Fundamentals, NumPy (Array operations and Mathematical functions), and Pandas with Matplotlib and Seaborn for data visualisation. The course learns, hands-on training and includes 10+ real-time industry projects.

How long is the Data Analyst Course at Hejex Technology Chennai?

The Data Analyst Course at Hejex Technology, Chennai is 3 Months long with 240+ hours of live, instructor-led training. Classes run 6 days per week. Available in weekday batches (Monday to Saturday), weekend batches (Saturday and Sunday), and fast-track options for working professionals. The program covers Excel, SQL, Python, Power BI, NumPy, Pandas, Seaborn, and Matplotlib across structured modules with real-time projects at each stage.

What tools will I learn in the Data Analytics Course in Chennai?

The Data Analytics Course covers: Microsoft Excel (complete advanced coverage), SQL (MySQL Workbench, Basic and Advanced), Power BI (Desktop, Service, DAX, Power Query), Python (core programming), NumPy (numerical computing), Pandas (data cleaning, transformation, GroupBy, merging), Seaborn (statistical visualisation), and Matplotlib (custom charts, subplots, 3D plotting). Students also receive GitHub repository access for all practice code and projects.

What real-time projects are included in the Data Analyst Training?

10+ real-time projects using live business datasets. Major projects include: Sales Performance Analytics Dashboard (Power BI and SQL), Customer Behaviour and Segmentation Analysis (Python and Pandas), Financial Risk and Credit Score Analysis, HR Analytics and Employee Attrition Prediction, E-Commerce Price and Product Trend Analysis, and a Business Intelligence Capstone integrating all tools. These projects become your portfolio for job interviews.

Is the Data Analyst Course at Hejex Technology good for freshers with no experience?

Yes. The course is designed for freshers with zero prior coding or analytics experience. It begins with Excel basics and progresses step-by-step. No programming background needed. The 10-student batch ensures every fresher gets direct trainer attention. Commerce graduates, Arts graduates, Engineering students, and non-IT professionals have all completed this course and been placed as Data Analysts.

What is the fee for the Data Analyst Course in Chennai?

The Data Analyst Course fee at Hejex Technology is all-inclusive. Covers 240+ hours of training, all study materials, GitHub access, 10+ projects, placement support, mock interviews, and certification. Flexible Installment options available. Contact +91 84383 87098 for current fee and Fees breakdown.

What is the Data Analyst salary in Chennai for freshers in 2026?

Freshers with Excel, SQL, Python, and Power BI skills earn Rs 3.5 to 5 LPA in Chennai. Mid-level analysts (2–3 years) earn Rs 5 to 8 LPA. Senior analysts earn Rs 8 to 14 LPA. Hejex Technology graduates have secured roles at TCS (4.8 LPA), Cognizant, Zoho, Hexaware, and Freshworks.

What job roles can I get after the Data Analytics Course in Chennai?

After completing the course you are qualified for: Data Analyst, Business Analyst, MIS Analyst, Reporting Analyst, Business Intelligence Analyst, Data Operations Analyst, and Decision Analyst. These roles are available across IT, fintech, healthcare, e-commerce, banking, and logistics.

Is Data Analytics a good career in Chennai in 2026?

Yes. Demand for Data Analysts in Tamil Nadu has grown by over 35% in the past two years. Chennai is home to major hiring companies including TCS, Infosys, Zoho, Freshworks, and HCLTech — all actively building data teams. Freshers with Excel, SQL, Python, and Power BI skills are placed within 60 days of completing a structured data analytics program.

Who can enrol in the Data Analyst Course at Hejex Technology?

Data Analyst course is open to fresh graduates from any discipline (Engineering, Commerce, Arts, Mathematics, etc), working professionals switching careers, IT professionals adding analytics skills, business managers seeking data skills, and students pursuing degrees. No prior coding or analytics experience required — the course starts from absolute basics.

Does Hejex Technology provide 100% placement support for the Data Analyst Course?

Yes 100% placement support. Our Placement Training Includes: Resume building tailored to Data Analyst JDs, SQL and Python aptitude preparation, mock technical and HR interviews, LinkedIn profile optimisation. In March 2026, an entire batch was placed at a MNC's company in Chennai.

What is the batch size for the Data Analyst Course at Hejex Technology?

Every batch is capped at a maximum of 10 students. This ensures every student receives direct trainer attention, individual project reviews, personalised placement preparation, and one-on-one mentorship.

How experienced are the Data Analytics trainers at Hejex Technology?

Trainers have 11+ years of real-world industry experience in data analytics and business intelligence at MNC companies. They bring live case studies, real business datasets, and industry-standard workflows into every session. The curriculum is continuously updated with 2026 industry trends including AI-assisted analytics tools.

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