Data Analytics Courses in Chennai

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Hejex Technology's Data Analyst Course in Chennai is designed to help you become an industry-ready data professional in just 90 days. Our Best Data Analytics Training Institute in Chennai 100% placement support, which includes resume building, mock interviews, and personalised career mentorship. This support will help you confidently secure your dream job in Data Analytics.

  • Industry focused Data Analytics Training in Chennai designed by Expert Mentors.
  • Comprehensive coverage of tools Microsoft Excel, SQL, Python, Tableau, Power BI, NumPy, Pandas, Seaborn, and Matplotlib.
  • 100% Placement Assistance with resume building and interview preparation.
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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 Analytics 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 Analyst 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 Course 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

At Hejex Technology, our Data Analytics trainers are seasoned industry professionals with deep expertise in data science, business analytics, and real-world data solutions. They bring a powerful blend of academic knowledge and hands-on industry experience into every training session, ensuring students gain practical, job-ready skills.

  • 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 Course Certifications

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Frequently Asked Questions FAQ'S

Data Analytics involves analyzing raw data to identify trends, patterns, and insights that help businesses make informed decisions.
In our Data Analytics Training in Chennai, you’ll learn how to:
  • Collect and clean data
  • Perform data transformation
  • Analyze datasets
  • Create dashboards and reports
Use tools like Excel, SQL, Python, Power BI, NumPy, Pandas, Seaborn, and Matplotlib
This training ensures you can handle real business problems using data.

Yes — Data Analytics is one of the fastest-growing and highest-paying career fields today. Companies across finance, healthcare, IT, retail, logistics, and e-commerce rely on data-driven decision-making, creating huge demand for skilled analysts. With the right training and hands-on experience, you can build a stable, future-proof career with excellent growth and salary potential.

Absolutely. Our Data Analyst Course in Chennai includes real-world datasets, project assignments, dashboard building, SQL case studies, and Python-based analytics projects to help you gain practical exposure.

After completing the Data Analyst Course in Chennai at Hejex Technology, you’ll be qualified for roles such as Data Analyst, Business Analyst, BI Analyst, MIS Analyst, Reporting Analyst, and Decision Analyst. Our practical training and placement support help you confidently apply for entry-level to mid-level analytics positions in top companies across Chennai and India.

Freshers, students, working professionals, and career switchers from any background can join. No coding experience is required. We start from basics and guide you step-by-step until you become industry-ready.

There are no strict prerequisites. Basic computer usage and a willingness to learn analytical concepts are enough. We teach all tools—from Excel to Python—from scratch.

If you miss a session, we provide backup classes, recorded explanations, and the option to join any other batch to ensure you never fall behind.

The course duration is 90 days with flexible batch options—weekday, weekend, and fast-track. You can choose the schedule that fits your availability.

Our trainers are industry professionals with 8+ years of experience in real-world Data Analytics, Business Intelligence, and data tools. They bring practical knowledge and industry insights to every session.

You can enroll by contacting our team via phone, WhatsApp, website form, or by visiting our Chennai training center. Our counselor will guide you through batch timings, fees, and registration details.
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