BEST Data Analytics Course In Chennai

Enroll Data Analyst Course in Chennai with Certification and Placement Assistance

When you’re looking to build a career in data and searching for the best institute offering a Data Analytics course in Chennai and nearby areas, you can rely on Aimore Technologies for an industry-focused and complete Data Analytics course designed for both freshers and professionals.

Data Analysts are in high demand across industries. This data analytics training equips you with in-demand skills such as data wrangling, advanced Excel, SQL, Python for analytics, business intelligence tools like Power BI/Tableau, and statistical methods. Designed for learners at beginner to intermediate levels, this course builds practical expertise for real-world analytics roles.

Structured with hands-on labs, real-time projects, and career support, the course ensures you're job-ready upon completion.

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What You’ll Learn

50+ hours of blended learning
Advanced Excel for data processing and analysis
SQL querying for relational databases
Python for analytics (NumPy, Pandas, Matplotlib)
Dashboards & storytelling with Power BI/Tableau
Statistical techniques & business case modeling
Industry projects from marketing, sales, finance, and HR domains

Certifications Covered

PL-300: Power BI Data Analyst Associate
Aimore Industry-Recognized Data Analytics Certification Training Program

Training Mode & Duration

Online & Classroom Data Analytics Training
Flexible schedules: Weekday & Weekend batches
Duration: 12 Weeks

Aimore Technologies proudly serves students across Chennai and nearby areas. Contact us today to start your Data Analytics course and build a successful career!

Key Features of Aimore’s Data Analytics Training

Hands-on Lab Sessions:

Lab-based training with real-time business case simulations across domains like marketing, finance, and HR.

Live Real-Time Projects:

Work on industry-relevant projects to build practical expertise and a job-ready portfolio.

Affordable Fee Structure:

Competitive pricing with flexible EMI options and no compromise on quality or support.

Experienced Industry Trainers:

Sessions are led by certified data analytics trainers with real-world experience.

Industry-Aligned Certification:

Certification upon course completion, recognized by recruiters and aligned with job-role expectations.

Flexible Learning Options:

Classroom and online batches are available on weekdays or weekends from 9 AM to 9 PM to suit your schedule.

Structured, Job-Focused Curriculum:

Covers Excel, SQL, Python, Power BI, Tableau, statistics, and machine learning essentials.

55+ Hours of Instructor-Led Training:

Guided learning with mentoring, practical walkthroughs, and assignment reviews.

Lifetime Batch Access:

Rejoin any future batch at no additional cost for revision or practical skill enhancement.

For Course Enquiry

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Location

Data Analytics Courses in Porur
Data Analytics Courses in OMR
Data Analytics Courses in Medavakkam

Data Analytics Course Timings

Weekdays	1 hr / day	9 AM to 9 PM	75 Days	ONLINE/OFFLINE	Enrol Now
Weekends	3 hrs	9 AM to 9 PM	12 Weeks	ONLINE/OFFLINE	Enrol Now

Join, Learn, Excel Data Analytics

Turbocharge your career with the power of Data Analytics. Don't wait - join the best Data Analytics course in Chennai today. Our 15+ years of industry expertise have helped students achieve placements in top reputed companies.

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Eligibility Criteria for Our Data Analytics Class

The basic eligibility for the data analytics training is a bachelor’s degree in Statistics, Mathematics, Computer Science, IT, Economics, or a related field. The course is also designed to support experienced IT professionals with a strong foundation in analytics.

Who can take this course?

Freshers and Final-Year Students
Software Developers & Testers
Project Management Specialist
Business analytics professional
Statisticians, Mathematicians, and Economists
BI Professionals, Six Sigma Experts, and Data Warehousing Specialists
Digital Marketing Professionals
Data Scientist

Key skills to enroll in our program:

Programming Basics: Familiarity with programming concepts, ideally R/SAS exposure, for data tasks.
Analytical & Creative Thinking: Curiosity for problem-solving and deriving insights.
Communication Aptitude: Ability to clearly convey findings.
Data Visualization Awareness: Basic understanding of visualization principles.

Database Concepts: Comprehension of data storage and relational structures.
Database Learning (or willingness to learn): Basic exposure to SQL and data handling concepts.
Data Handling Interest: An inclination for data mining, cleaning, and preparation.
Excel Skills: Proficiency in Excel, including basic modeling.
Machine Learning Interest: Enthusiasm for ML concepts.

This beginner-friendly Data Analytics course is designed to support both beginners and professionals, with content tailored to different experience levels. In addition to Anna Nagar, We also offer classroom-based Data Analytics training at our other locations: OMR, Medavakkam and Porur.

Note: The course is also suitable for Non-IT Professionals (Career Switchers) from HR, Marketing, Sales, or Finance backgrounds who are looking to become Professional and enter data-focused roles with practical skills.

Course Curriculum

Power BI

Python

SQL

Excel

Module1:

Introduction to Power BI

Module2:

Visualizations and Tiles

Module3:

DAX functions

Get Started with Power BI
Overview: Power BI concepts
Sign up for Power BI

Data Preparation and Import:

Data sources: Excel, databases, and files.
Power Query Editor: cleaning, shaping, merging, and appending data.
Understanding relationships: one-to-one, one-to-many, and many-to-many and creating and managing relationships between tables.
Explore the Power BI portal.

Overview: Visualizations
Using visualizations
Create a new report
Create and arrange visualizations
Format a visualization
Creating interactive reports and dashboards.
Choosing appropriate visualizations: charts, maps, and tables.
Formatting and customizing visuals to improve aesthetics and readability.

Create a Report with Visualizations:

Create chart visualizations
Create a report using text, a map, and gauge visualizations.
Use a slicer to filter visualizations
Sort, copy, and paste visualizations
From the collection, save and utilize a unique image.

New DAX functions
Date and time functions
Time intelligence functions
Filter functions
Information functions
Logical functions
Math & Trig functions
Parent and child functions
Text functions

DAX Formulas and Advanced Analysis:

Writing DAX formulas for calculated columns, measures, and calculated tables.
Performing advanced calculations and aggregations using DAX functions.
Utilizing features like drill-down, drill-through, and cross-filtering for interactive exploration.
Creating hierarchies and implementing filtering options for deeper analysis.

Module1:

Python Basics

Module2:

Python Data Structures & Operations

Module3:

Input & Output

Module4:

Control Flow & Looping

Module5:

Functions & Modules

Module6:

Data Analysis with Python

Module7:

Data Visualization

Syntax
The print statement
Comments
Data Types

Python Data Structures & Data Types
String Operations in Python
Using Dictionaries
Working with Lists

Simple Input & Output
Simple Output Formatting
File operations using Python

Looping in Python
Function Arguments, and Control Flow

Functions
Python Modules

Numpy
Pandas
DataFrames

Matplotlib

Module1:

Module 1: Introduction & Basic Querying

Module2:

Operators & Expressions

Module3:

Functions & Expressions

Module4:

Control Structures & Programming Logic

Module5:

Combining Data & Joins

Module6:

Aggregation & Group Processing

Module7:

Advanced Querying

Module 8:

Database Objects & Integrity

Module 9:

Transaction Management

Module 10:

Data Manipulation

Module 11:

Views & Materialized Views

Module 12:

Database Metadata & Special Tables

Introduction
Clauses
Syntax/Semantic Check
Order By
Distinct
Dual

Arithmetic/Logical Operators
Relational Operators

Single Row Functions
Pseudo Columns
Level

Control Statements

Set Operators
Joins

Group Functions
Analytical Functions

Sub Query

Index/Constraints
DDL (Data Definition Language)

TCL (Transaction Control Language)

DML (Data Manipulation Language)

View and Mview

Data Dictionary
GTT (Global Temporary Table)
External Table

Module1:

Excel Basics

Module2:

Data Handling and Formatting

Module3:

Data Validation and Formatting

Module4:

Pivot Tables and Charts

Module5:

Data Analysis Fundamentals

Module6:

Data Cleaning and Manipulation

Module7:

Lookup and Reference Functions

Advanced Excel Features

Module 8:

Advanced Pivot Tables and Data Tools

Module 9:

Advanced Data Analysis Tools

Module 10:

Advanced Functions and Logical Operations

Excel Syllabus
Excel Tutorial

Text to Columns
Concatenate
The Concatenate Function
The Right Function with Concatenation
Absolute Cell References

Data Validation
Conditional Formatting

Pivot Tables
Using Slicers
Charts

Data Analysis − Overview
Data Analysis Process

Remove Duplicates
Extracting Data Values from Text
Date Formats
Sorting
Filtering

Lookup Functions
Pivoting

PivotTables, Power Query, and Power Pivot
Cleaning and transforming raw data
Removing duplicates, handling missing values, and formatting data for analysis

Data Analysis Tool - Advanced filtering and sorting techniques
Descriptive statistics: mean, median, mode, standard deviation, etc.
Correlation analysis: calculating correlation coefficients
Regression analysis: performing linear regression analysis to model relationships between variables

Lookup and reference functions: INDEX-MATCH, VLOOKUP, HLOOKUP, etc.
Logical functions: IF statements, nested IFs, AND, OR, etc.

Aimore’s Data Analytics Course Syllabus

Course 1:

Data Analytics Foundations

Understand key terminology in Data Analytics such as data, data analysis, and the data ecosystem.
Self-assess one's analytical thinking capabilities and illustrate its practical applications.
Introduce the significance of spreadsheets, query languages, and data visualisation tools in data analysis.
Elaborate on the responsibilities of a data analyst, highlighting potential job roles.

Course 2:

Using Data to Make Informed Decisions

Understand the significance of each phase in the problem-solving roadmap within typical analytical scenarios.
Highlight the significance of data in driving decisions.
Showcase proficiency in using spreadsheets for fundamental data analyst tasks like data entry and organisation.
Introduce structured thinking and its central themes.

Course 3:

Data Preparation Techniques

Discuss considerations when deciding on data collection methods.
Differentiate between biased and unbiased data sources.
Provide an overview of databases, focusing on their roles and main components.
Outline best practices for data arrangement.

Course 4:

Refining Raw Data

Understand the concept of data integrity, including its types and potential risks.
Utilise basic SQL functions to clean string data in databases.
Formulate basic SQL queries for database operations.
Describe the steps to validate cleaned data outcomes.

Course 5:

Techniques for Data Analysis

Stress the importance of data arrangement prior to analysis, with a focus on sorting and filtering.
Comprehend the steps in data conversion and formatting.
Master the use of SQL functions and syntax for merging data across multiple database tables.
Demonstrate the application of basic mathematical functions on spreadsheet data.

Course 6:

Communicating through Data Visualisation

Illustrate how data visualisation aids in presenting data and analytical results.
Recognise Tableau as a tool for data visualisation and its various applications.
Define data-driven storytelling, highlighting its relevance and key features.
Enumerate principles and best practices for impactful presentations.

Course 7:

Introduction to R Programming for Data Analysis

Introduce the R programming language and its coding environment.
Clarify core concepts in R programming, such as functions, variables, data structures, pipes, and vectors.
Explore options available for crafting visualisations in R.
Grasp the basic structure and emphasis techniques in R Markdown.

Course 8:

Undertaking a Case Study

Differentiate among capstone projects, case studies, and portfolios.
Enumerate key elements and qualities of a comprehensive case study.
Implement standard practices and techniques in the data analysis workflow using a provided data set.
Explore the value of case studies and portfolios during interactions with hiring personnel and potential employers.

Download Syllabus

Achieve These Career Benefits with

Aimore's Data Analytics Certification

Craft job winning resumes that get you noticed:

At Aimore, our experts help you to craft professional resumes tailored specifically for data analytics roles—so we could stand out in a competitive job market.

Practice and prepare for real interviews:

Through regular mock interviews, we help you gain the confidence and skills needed to face both technical and HR interviews with ease.

Master HR rounds with confidence:

From answering common HR questions to improving your communication, Aimore guides you to present yourself confidently and professionally.

100% full placement support:

Our placement team works closely with you by connecting you with job opportunities in leading companies, offering referrals, and supporting you through every step of the hiring process.

Showcase skills that impress employers:

By the end of our course, you won’t just have knowledge, but you’ll know how to showcase your skills and make the right impression with our support.

Transition smoothly into a data analytics career:

Whether you are a fresher or working professionals, Aimore gives you the guidance and support needed to smoothly shift into the high-demand field of data analytics.

Ready to Build Your Future with the Best Data Analytics Course

Looking to elevate your data expertise? Our Chennai Data Analytics course provide the ideal chance to skyrocket your skills. Enrol now and stand out in the world of Data Analytics.

Let’s Get Started

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Courses

Chennai Cloud Computing Training Chennai Data Science Training Chennai Oracle Training Chennai DevOps Training Chennai RPA Training Chennai Web Development Training Chennai Software Testing Training Chennai Snowflake Training
Chennai Data Analytics Training
Chennai Data Engineering Training
Chennai Playwright Training
Chennai Python Training

Location

Data Analytics Courses in Porur
Data Analytics Courses in OMR
Data Analytics Courses in Medavakkam

Got Questions? We’ve Got the Answers

What do I learn by joining Data Analytics training in Aimore Technologies?

Data analytics - definition and different types
Utilisation of system and software to carry out data analytics
The various objectives of data analytics
Upcoming trends in data analytics and conclusions derived from it.
Predict future events using data analytics.
Understand the relevance of data analytics in business decision-making.

What is the difference between the roles of Data Analysts, Business Analysts, and Data Scientists?

Data Analysts, Business Analysts, and Data Scientists each hold unique positions within the data landscape. Data Analysts are engaged in the entire cycle of data analysis. In contrast, Business Analysts focus on implementing, building, analysing, and reporting on business capabilities. Data scientists make use of statistical analysis to construct machine learning systems.

What are the job roles I can apply to after completing my data analytics certification?

Beyond the position of Data Analyst, potential job titles that you can explore after this course include Data Analytics Lead/Manager, Business Intelligence Analyst, Business Analyst, Senior Business Analyst, and Business Intelligence Engineer, among various managerial roles.

Which tools are commonly used in Data Analysis?

Data analytics tools help professionals perform data processing, data manipulation, and pattern identification efficiently. Our Data Analytics Course covers industry-leading tools such as R, Tableau, KNIME, RapidMiner, Microsoft Excel, Apache Spark, SAS, Splunk, and QlikView to build real-world analytical skills using modern tools and technologies.

What are the various types of training offered at Aimore?

At Aimore Technologies, we offer two main training formats: instructor-led online training and self-paced training. In addition, we provide corporate training services, helping organisations enhance their workforce's skillset. Our trainers, boasting over 12 years of relevant industry experience, are not just instructors but active consultants in their respective domains. This experience transforms them into subject matter experts, ensuring the highest quality of training.