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Data Analytics Course in Chennai

Learn data analytics with real-world tools, hands-on projects, and industry insights to analyze data, create reports, and make smart, data-driven business decisions confidently. 

Course Features – Placement Point Solutions:-

What Will You Learn?

  • 40+ Hours Course Duration
  • 1000+ Interview Questions & Answers
Student Reviews

    Talk to a Consultant

    Fill in the details to get started

    Training Methods

    Training Methods

    LMS Online Learning Platform
    (Life-time Access)

    Course Period

    Course Period

    8 - 12 Weeks Training
    Free Practice Server

    Interview Preparation

    Interview Preparation

    Live Mock Interview
    Preparation

    Course Language

    Course Language

    Tamil & English
    (Students Preference)

    Data Analytics Course in Chennai

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    About Course

    Learn data analytics with real-world tools, hands-on projects, and industry insights to analyze data, create reports, and make smart, data-driven business decisions confidently. 

    What Will You Learn?

    • 40+ Hours Course Duration
    • 1000+ Interview Questions & Answers

    Course Content

    Introduction to Data Analytics

    • What is Data Analytics
    • Types of Analytics
    • Data Analytics vs Data Science
    • Business Use Cases

    Understanding Data & Its Importance

    Data Basics & Data Handling

    Statistics Fundamentals for Analytics

    Introduction to Excel

    Excel Basics for Data Analysis

    Advanced Excel for Analytics

    Excel Data Analysis Tools

    Data Cleaning & Preparation

    Introduction to Databases

    SQL Fundamentals

    SQL Queries & Functions

    SQL Joins & Subqueries

    Introduction to Programming with Python

    Python Control Structures

    Python for Data Analysis

    Data Visualization with Python

    Introduction to Business Intelligence

    Power BI Fundamentals

    Power BI Data Visualization

    Power BI DAX Basics

    Real-Time Data Analytics Projects
    Students work on real business datasets to analyze sales, customers, finance, and operations. This module builds confidence and practical experience.

    Data Analytics Job Roles
    Students understand responsibilities of Data Analyst, Business Analyst, Reporting Analyst, and MIS Analyst. This helps them plan their career path.

    Interview Preparation & Resume Building
    Students learn how to prepare resumes, answer technical questions, explain projects, and attend mock interviews confidently.

    Career Guidance & Placement Support
    This module provides a clear career roadmap, industry expectations, job search strategies, and placement assistance support until employment.

    Earn a certificate

    Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

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    Student Ratings & Reviews

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    Data Analytics Course in Chennai

    ★★★★★
    4.8 (16,200 reviews)
    • No-code course, Excel, MySQL, Tableau & Power BI
    Accredited by
    Accredited Logo
    ₹55,000 ₹45,000* No cost EMI – ₹7,500 p.m for 6 months

    Fees Details

    ₹45,000.00 ₹55,000.00
    • Beginner
    • 1 Total Enrolled
    • 3 hours 30 minutes Duration
    • February 13, 2026 Last Updated
    • Certificate of completion

    Our Partners

    Tiger Analytics – Analytics & AI solutions
    Customer Analytics India Pvt Ltd
    Vittena Analytics Pvt. Ltd.
    iBeris Software Solutions
    Lapis Data Analytics Pvt. Ltd.
    Analytics Aura Private Limited
    AIML Data Analytics Solutions
    Wavicle Data Solutions LLC
    Crossroad Elf DSS Pvt. Ltd
    47Billion – Data analytics & AI solutions
    Mammoth Analytics
    Tibil Solutions
    Impact Analytics
    COURSE OVERVIEW

    Data Analytics Course Introduction

    Learn how data drives business decisions and build a future-ready career with practical, job-oriented training.

    What is Data Analytics?

    Data Analytics is the process of collecting, cleaning, and analyzing data to help organizations make smarter decisions across industries. A Data Analyst works with tools like Excel, SQL, Python & Power BI to identify patterns and present insights clearly—without complex coding.

    Is This Course for Freshers & Non-IT?

    Yes. This course is designed from absolute basics, making it ideal for freshers, non-IT backgrounds, and career switchers. No prior coding experience is required—only consistency and curiosity.

    Career & Job Opportunities

    After completion, learners can apply for roles such as:

    • Data Analyst / Junior Data Analyst
    • Business Analyst (Entry-Level)
    • Reporting Analyst / MIS Analyst

    Salary & Growth

    Entry-level salaries vary by skills and tools knowledge, while experienced professionals grow rapidly with project-based expertise. Data Analytics offers long-term stability and strong career growth.

    Why Choose This Course?

    • Beginner-friendly for freshers & non-IT candidates
    • High-demand jobs across multiple industries
    • Practical, career-focused learning approach
    • Perfect for entry-level & career-switch roles

    SALARY INSIGHTS

    Data Analyst Salary Insights (India). Data Analytics offers strong career growth with salaries increasing based on skills, hands-on experience, and tool expertise.

    Freshers

    ₹3 LPA – ₹6 LPA

    Entry-level roles such as Junior Data Analyst, MIS Analyst, or Reporting Analyst. Salaries depend on Excel, SQL, Power BI skills and project exposure.

    Career Switchers

    ₹5 LPA – ₹9 LPA

    Professionals moving from non-IT domains can leverage domain knowledge with analytics skills for faster growth.

    Experienced Professionals

    ₹8 LPA – ₹15+ LPA

    Advanced analytics, dashboards, automation, and business decision-making lead to senior-level salary growth.

    Disclaimer: Salary figures are indicative estimates based on market trends and may vary depending on skills, experience, location, company policies, and individual performance.

    Frequently Asked Questions

    Is this Data Analytics course suitable for freshers? +

    Yes. This course is designed to start from the basics, making it suitable for freshers and candidates from non-IT backgrounds. No prior technical or coding knowledge is required.

    Do I need programming knowledge to join this course? +

    No prior programming experience is required. Python is taught from the basics as part of the course, with a focus on analytics rather than complex coding.

    What tools will I learn in this Data Analytics course? +

    You will learn Excel, SQL, Python, and Power BI, which are widely used tools in Data Analytics roles across industries.

    Will I get hands-on practical training? +

    Yes. The course includes practical exercises, real-world datasets, and projects to help you gain hands-on experience and build confidence.

    What kind of job roles can I apply for after this course? +

    After completing the course, you can apply for roles such as Junior Data Analyst, Data Analyst, MIS Analyst, Reporting Analyst, and entry-level Business Analyst roles.

    Is placement support provided after course completion? +

    Yes. Career guidance and placement assistance are provided to help you prepare for interviews and understand job opportunities. However, placements are based on individual performance and effort.

    What is the duration of the Data Analytics course? +

    The course duration depends on the learning mode and batch schedule. Detailed information will be shared during the counseling session.

    Can working professionals join this course? +

    Yes. The course is suitable for working professionals who want to upgrade their skills or switch careers, with flexible learning options available.

    Will I receive a certificate after completing the course? +

    Yes. A course completion certificate will be provided after successfully completing the training and assignments.

    How do I enroll in the Data Analytics course? +

    You can enroll by speaking with a career expert who will guide you through the syllabus, batch availability, and enrollment process.

    Who This Data Analytics Course Is Not For

    This course is designed for learners who are genuinely interested in building practical Data Analytics skills. It may not be the right fit for everyone.

    ✔ If you are committed to learning, practicing consistently, and building real skills, this course can help you start or grow a career in Data Analytics.

    HOW THIS COURSE WORKS

    This Data Analytics course follows a structured and practical learning journey to help you build confidence and job-ready skills step by step.

    1

    Learn the Fundamentals

    Start with core concepts of Data Analytics and gradually learn Excel, SQL, Python, and Power BI with simple and easy explanations.

    2

    Practice with Real-World Scenarios

    Work on real datasets, hands-on exercises, and practical projects based on real business problems and industry use-cases.

    3

    Prepare for Interviews & Careers

    Get interview preparation, resume guidance, project explanation support, and career planning to confidently apply for Data Analyst roles.

    COURSE FEATURES

    Data Analytics Course Features

    This Data Analytics course is designed to help learners build strong analytical skills and become job-ready through a structured, practical, and beginner-friendly approach.

    Beginner-Friendly Curriculum

    The course starts from the basics and gradually moves to advanced concepts, making it suitable for freshers and non-IT professionals.

    Complete Tool Coverage

    Learn all essential tools required for a Data Analyst role, including Excel, SQL, Python, and Power BI, in one integrated course.

    Practical & Hands-On Training

    Gain practical experience by working with real-world datasets, exercises, and assignments designed to improve analytical thinking.

    Industry-Oriented Learning

    The curriculum is aligned with current industry requirements and focuses on skills commonly expected in Data Analytics job roles.

    Interview Preparation Support

    Get exposure to commonly asked interview questions and guidance on how to present analytical skills confidently during interviews.

    Career Guidance & Support

    Receive structured career guidance to understand job roles, career paths, and growth opportunities in the Data Analytics field.

    🎥 Student Video Reviews

    Watch what our students say about this course

    Rahul

    The course helped me understand Data Analytics from scratch. The explanations were simple, and the practical sessions made concepts easy to follow.

    Kartik

    I come from a non-IT background, and I was worried initially. The step-by-step teaching approach helped me gain confidence and understand analytics tools clearly.

    Mahesh

    The training was practical and well-structured. The guidance on interview preparation and career direction was very helpful.

    Rohit

    I liked the way concepts were explained with real examples. The course is suitable for freshers who want to enter the analytics field.

    Interview Questions & Answers

    📘 INTRODUCTION TO DATA ANALYTICS

    Q1. What is Data Analytics? +

    Data Analytics is the process of collecting, cleaning, and analyzing data to discover useful information. It helps businesses make better decisions by identifying patterns and trends. Data Analytics focuses on understanding past and present data. It supports decision-making across industries.

    Q2. Why is Data Analytics important for businesses? +

    Data Analytics helps businesses understand customer behavior and improve performance. It allows companies to reduce risks and increase efficiency. Analytics supports strategic planning using data rather than assumptions. It improves accuracy in business decisions.

    Q3. What are the main types of Data Analytics? +

    The main types are Descriptive, Diagnostic, Predictive, and Prescriptive Analytics. Descriptive explains what happened, diagnostic explains why it happened. Predictive forecasts future outcomes, and prescriptive suggests actions. Each type serves a different business purpose.

    Q4. What is the role of a Data Analyst? +

    A Data Analyst collects and analyzes data to generate insights. They create reports, dashboards, and summaries for decision-makers. The role involves data cleaning and visualization. Communication skills are important to explain insights clearly.

    Q5. Is Data Analytics suitable for freshers? +

    Yes, Data Analytics is suitable for freshers because it starts with basic concepts. It does not require advanced programming knowledge. Logical thinking and practice are more important. With proper training, freshers can build strong careers.

    Q6. What tools are commonly used in Data Analytics? +

    Common tools include Excel, SQL, Python, and Power BI. Excel is used for basic analysis and reporting. SQL is used to work with databases. Power BI and Python help in visualization and advanced analysis.

    Q7. How is Data Analytics different from Data Science? +

    Data Analytics focuses on analyzing existing data for insights. Data Science includes advanced concepts like machine learning and AI. Analytics is more business-oriented and beginner-friendly. Data Science requires deeper technical skills.

    📘 UNDERSTANDING DATA & ITS IMPORTANCE

    Q1. What is data? +

    Data is a collection of facts, numbers, or information. It can be in the form of text, numbers, images, or videos. Data is collected from various sources. It is the foundation for analysis and decision-making.

    Q2. Why is data important in organizations? +

    Data helps organizations understand performance and customer behavior. It supports planning and problem-solving. Businesses use data to improve efficiency. Data-driven decisions reduce risks.

    Q3. What are real-world examples of data usage? +

    E-commerce companies analyze customer purchases. Banks analyze transaction data for fraud detection. Hospitals analyze patient data for better treatment. Data is used in almost every industry today.

    Q4. What is raw data? +

    Raw data is unprocessed and unorganized information. It may contain errors or missing values. Raw data is not directly useful for decision-making. It must be cleaned and processed.

    Q5. How does data help in decision-making? +

    Data provides factual insights instead of assumptions. It helps compare options and outcomes. Decisions become more accurate with data support. Analytics reduces uncertainty in business decisions.

    Q6. What is structured data? +

    Structured data is organized in rows and columns. It is easy to store in databases. Examples include Excel sheets and SQL tables. It is easy to analyze.

    Q7. What is unstructured data? +

    Unstructured data has no fixed format. Examples include emails, videos, and social media posts. It is harder to analyze. Special tools are required to process it.

    📘 DATA BASICS & DATA HANDLING

    Q1. What are the main types of data? +

    The main types are structured, semi-structured, and unstructured data. Structured data is organized, semi-structured has some format, and unstructured has no format. Each type requires different handling methods.

    Q2. What are data sources? +

    Data sources are places from where data is collected. Examples include databases, surveys, websites, and sensors. Data can be internal or external. Reliable sources are important for accuracy.

    Q3. What is data lifecycle? +

    Data lifecycle refers to stages like collection, storage, processing, analysis, and reporting. Each stage plays an important role. Proper handling ensures data quality. It helps manage data efficiently.

    Q4. What are data formats? +

    Data formats define how data is stored. Examples include CSV, Excel, JSON, and XML. Different tools support different formats. Choosing the right format is important for analysis.

    Q5. What is data collection? +

    Data collection is the process of gathering information. It can be done through surveys, systems, or sensors. Accurate data collection is essential. Poor data leads to poor analysis.

    Q6. What is data storage? +

    Data storage means saving data securely. It can be stored in databases or cloud systems. Proper storage ensures data availability. Security is an important aspect.

    Q7. What is data processing? +

    Data processing involves cleaning and transforming data. Errors and duplicates are removed. Data becomes ready for analysis. This step improves data quality.

    Data Analytics Course in Chennai

    Wishlist Share
    Share Course
    Page Link
    Share On Social Media

    About Course

    Learn data analytics with real-world tools, hands-on projects, and industry insights to analyze data, create reports, and make smart, data-driven business decisions confidently. 

    What Will You Learn?

    • 40+ Hours Course Duration
    • 1000+ Interview Questions & Answers

    Course Content

    Introduction to Data Analytics

    • What is Data Analytics
    • Types of Analytics
    • Data Analytics vs Data Science
    • Business Use Cases

    Understanding Data & Its Importance

    Data Basics & Data Handling

    Statistics Fundamentals for Analytics

    Introduction to Excel

    Excel Basics for Data Analysis

    Advanced Excel for Analytics

    Excel Data Analysis Tools

    Data Cleaning & Preparation

    Introduction to Databases

    SQL Fundamentals

    SQL Queries & Functions

    SQL Joins & Subqueries

    Introduction to Programming with Python

    Python Control Structures

    Python for Data Analysis

    Data Visualization with Python

    Introduction to Business Intelligence

    Power BI Fundamentals

    Power BI Data Visualization

    Power BI DAX Basics

    Real-Time Data Analytics Projects
    Students work on real business datasets to analyze sales, customers, finance, and operations. This module builds confidence and practical experience.

    Data Analytics Job Roles
    Students understand responsibilities of Data Analyst, Business Analyst, Reporting Analyst, and MIS Analyst. This helps them plan their career path.

    Interview Preparation & Resume Building
    Students learn how to prepare resumes, answer technical questions, explain projects, and attend mock interviews confidently.

    Career Guidance & Placement Support
    This module provides a clear career roadmap, industry expectations, job search strategies, and placement assistance support until employment.

    Earn a certificate

    Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

    selected template

    Student Ratings & Reviews

    No Review Yet
    No Review Yet
    New Concept

    Data Analytics Course Features

    Beginner-Friendly Curriculum

    The course starts from the basics and gradually moves to advanced concepts, making it suitable for freshers and non-IT professionals.

    Complete Tool Coverage

    Learn all essential tools required for a Data Analyst role, including Excel, SQL, Python, and Power BI, in one integrated course

    Practical & Hands-On Training

    Gain practical experience by working with real-world datasets, exercises, and assignments designed to improve analytical thinking.

    Concept Image

    Industry-Oriented Learning

    The curriculum is aligned with current industry requirements and focuses on skills commonly expected in Data Analytics job roles.

    Interview Preparation Support

    Get exposure to commonly asked interview questions and guidance on how to present analytical skills confidently during interviews.

    Career Guidance & Support

    Receive structured career guidance to understand job roles, career paths, and growth opportunities in the Data Analytics field.

    📄

    Beginner-Focused Learning Approach

    Our Data Analytics course is designed to start from the basics and gradually build advanced skills, making it ideal for freshers and candidates from non-IT backgrounds.

    ❤

    Complete and Industry-Relevant Curriculum

    The course covers all essential tools required for Data Analytics roles, including Excel, SQL, Python, and Power BI, ensuring learners gain end-to-end knowledge in one program.

    🔥

    Practical Training with Real-World Exposure

    Learners work with real datasets, practical exercises, and projects that reflect real industry scenarios, helping them build confidence and hands-on experience.

    👥

    Interview Preparation and Career Guidance

    We provide guidance on interview questions, resume preparation, and project explanations to help learners face interviews with confidence.

    Why Choose Placement Point Solutions for
    Data Analytics Training

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    Our Corporate Companies
    WHY CHOOSE US

    Why Choose Placement Point Solutions
    for Data Analytics Training

    We focus on building strong fundamentals, practical exposure, and career readiness to help learners succeed in Data Analytics roles.

    📘

    Beginner-Focused Learning Approach

    Our Data Analytics course is designed to start from the basics and gradually build advanced skills, making it ideal for freshers and candidates from non-IT backgrounds.

    ❤️

    Complete & Industry-Relevant Curriculum

    The course covers all essential tools required for Data Analytics roles, including Excel, SQL, Python, and Power BI, ensuring end-to-end knowledge.

    🔥

    Practical Training with Real-World Exposure

    Learners work with real datasets, exercises, and projects that reflect real industry scenarios and build hands-on confidence.

    👥

    Interview Preparation & Career Guidance

    We guide learners on interview questions, resume preparation, and project explanations to face interviews confidently.

    🧭

    Structured & Transparent Learning Path

    The syllabus is clearly defined and shared in detail so learners understand what they will learn at every stage.

    🤝

    Continuous Support Throughout the Course

    Learners receive continuous support for doubt clearing and guidance, ensuring a smooth learning experience from start to finish.

     

    Data Analytics Course

    Learn Data Analytics with industry-focused training covering Excel, SQL, Python, Power BI,
    and real-world projects. Build job-ready skills and boost your career with practical learning.

    Ready to Start Your Career in Data Analytics?

    Take the next step towards building a successful career in Data Analytics with structured training, practical learning, and career guidance.

    Get complete clarity on the course syllabus, learning approach, batch schedules, and career opportunities by speaking with a career expert.

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