Next batch: Nov 1644 seats leftPerungudi, Anna Nagar, Sholinganallur

Intellea
+91 74488 48481

Data Analytics Training in Anna Nagar

  • Build Your Future with Industry-Focused Data Analytics Training.
  • Develop Skills in Excel, SQL, Python, Power BI & AI Analytics.
  • Gain Practical Knowledge Through Real-World Projects.
  • Receive Course Certification with Placement Assistance.
4.9 455 Google reviews

500+ trainedΒ Β· 100% placedΒ Β· 120+ projects built

  • Regular batch classes
  • Doubt‑clearing sessions
  • Expert classes
  • Real projects
  • Placement support
  • Global Certificates
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Where alumni work

Intellea alumni work at leading tech companies and growing startups

Our alumni are building successful careers across reputed tech firms and promising startup ecosystems.

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About this course

What You’ll Learn in the Data Analytics Course in Anna Nagar

Whether you’re a student, fresher, or working professional, our Data Analytics Course in Anna Nagar is your practical launchpad into the world of data. We skip the dry theory, taking you from foundational basics to real-world analysis using Excel, SQL, Python, and Power BI. You’ll learn by doing through hands-on assignments, live industry datasets, and a comprehensive capstone project. Whenever you hit a roadblock, our dedicated mentors are right there to guide you. You’ll also get detailed study notes, ready-to-use project templates, and end-to-end career support, including resume building, LinkedIn optimization, and mock interviews. Graduate with a recognized certificate and our dedicated placement assistance to confidently launch your new analytics career.

Upcoming batches

Find the Right Batch for Your Learning Journey

Start learning at a time that works best for you. Explore our upcoming morning and evening batches.

StartsScheduleSeats
Nov 16Monday Morning 2
11:30Β AM to 1:00Β PM		 6 of 50 filledStarts today Reserve seat
Nov 16Monday Evening 2
6:30Β PM to 8:00Β PM		 3 of 50 filledStarts today Reserve seat
Nov 30Monday Morning 1
9:30Β AM to 11:00Β AM		 Enrolment open Reserve seat
Nov 30Monday Evening 1
4:30Β PM to 6:00Β PM		 1 of 50 filled Reserve seat

Who Should Take This Course

Is This Course Right for You

Complete Beginners

Start with the basics of data analytics with no prior experience required. Learn step by step and build confidence as you work.

Level Up as a Professional

Learn how to use Excel, SQL, Python, and data visualization tools to strengthen your existing skills and make data-driven decisions.

Career Switchers

Build practical data analytics skills that can help you transition from your current role into a career in data analytics.

Anyone Ready to Learn Data Analytics

Explore data analytics through practical projects and build skills you can apply to real-world business problems.

Curriculum

Data Analytics Training in Anna Nagar Curriculum

Build job-ready Data Analytics skills across SQL, Python, Excel, Power BI, DAX, data visualization, data modeling, and business analytics. Learn through hands-on projects and build interactive dashboards for your GitHub.

PHASE 01 Β· FOUNDATIONS OF DATA ANALYTICS

01 Data Analytics Fundamentals & Business Acumen Understand the data analyst role, the data lifecycle, and how to align data initiatives with core business objectives.
  • Role of a Data Analyst & the Modern Data Stack
  • The Data Analytics Lifecycle (CRISP-DM)
  • Defining and Tracking Business KPIs
  • Data Ethics, Privacy, and Basic Governance
  • Introduction to Data-Driven Decision Making

Beginner Build: A Business Requirement Document (BRD) and a KPI Dashboard Mockup for a retail business.

02 Advanced Excel for Data Analysis Master advanced Excel for powerful data transformation, complex analysis, and automated reporting.
  • Advanced Data Cleaning with Power Query
  • Dynamic Pivot Tables and Slicers
  • Advanced Formulas (XLOOKUP, INDEX-MATCH, IFS)
  • What-If Analysis and Scenario Manager
  • Data Validation and Conditional Formatting
  • Introduction to AI Features in Excel (e.g., Copilot Ideas)

Beginner Build: An Automated Sales Performance Tracker with dynamic, interactive charts.

03 SQL for Data Extraction & Manipulation Communicate with relational databases to efficiently extract, filter, and aggregate large datasets.
  • Relational Database Concepts & Schema Design
  • SELECT, Filtering, and Sorting Data
  • Mastering Joins (INNER, LEFT, RIGHT, FULL) and Unions
  • Aggregate Functions and GROUP BY Clauses
  • Subqueries and Common Table Expressions (CTEs)
  • Advanced Window Functions (ROW_NUMBER, RANK, LEAD/LAG)

Beginner β†’ Intermediate Build: An E-commerce database query pipeline to generate a Customer Segmentation and Retention Report.

PHASE 02 Β· CORE ANALYTICS & VISUALIZATION

04 Data Visualization with Power BI Master Power BI to build interactive, secure, and AI-enhanced business intelligence dashboards.
  • Power BI Interface, Data Modeling, and Star Schema
  • DAX Fundamentals (CALCULATE, Time Intelligence Functions)
  • Interactive Dashboard Design and Bookmarks
  • Row-Level Security (RLS) and Data Governance
  • Power BI Service, Workspaces, and Scheduled Refresh
  • AI Visuals (Q&A, Key Influencers, Decomposition Tree)

Intermediate Build: An Interactive Executive Sales & Profitability Dashboard with implemented Row-Level Security.

05 Statistical Analysis for Data-Driven Decisions Apply foundational statistics to validate hypotheses and make evidence-based business recommendations.
  • Descriptive Statistics (Mean, Median, Mode, Variance)
  • Probability Distributions in Business Contexts
  • Hypothesis Testing and A/B Testing Frameworks
  • Correlation and Linear Regression Analysis
  • Sampling Techniques and Bias Identification
  • Interpreting Statistical Significance for Stakeholders

Intermediate Build: A complete A/B Testing Analysis Report for a digital marketing campaign.

06 Data Storytelling & Communication Translate complex analytical findings into clear, persuasive narratives that drive executive action.
  • Principles of Visual Perception and Cognitive Load
  • Crafting a Compelling Data Narrative
  • Choosing the Right Chart for the Right Message
  • Dashboard UX/UI and Accessibility Best Practices
  • Techniques for Presenting to Non-Technical Stakeholders
  • Translating Data Findings into Actionable Business Recommendations

Intermediate Build: A recorded Stakeholder Presentation featuring an interactive dashboard walkthrough.

PHASE 03 Β· ADVANCED ANALYTICS & PROGRAMMING

07 Python for Data Analytics Harness Python to automate data workflows, perform deep exploratory analysis, and handle complex datasets.
  • Python Basics, Syntax, and Environment Setup (Jupyter/VS Code)
  • Numerical Operations with NumPy
  • Data Manipulation and Transformation with Pandas
  • Advanced Data Cleaning and Handling Missing Values
  • Exploratory Data Analysis (EDA) with Matplotlib and Seaborn
  • Writing Clean, Modular, and Documented Python Code

Intermediate β†’ Advanced Build: An Automated Exploratory Data Analysis (EDA) Report on a real-world dataset.

08 AI-Augmented Analytics & GenAI Integration Leverage Generative AI to accelerate data preparation, SQL querying, and insight generation.
  • Introduction to AI and Machine Learning in Analytics
  • Using GenAI for Rapid SQL Query Generation and Debugging
  • Automated Data Cleaning and Anomaly Detection with AI Tools
  • Prompt Engineering Best Practices for Data Insights
  • Ethical AI, Algorithmic Bias, and Mitigation Strategies
  • Overview of Modern AI Analytics Platforms (e.g., Microsoft Fabric/Copilot)

Advanced Build: An AI-Assisted Data Pipeline from raw ingestion to an AI-generated executive summary.

09 Introduction to Predictive Analytics & Machine Learning Transition from descriptive to predictive analytics using foundational machine learning algorithms.
  • Supervised vs. Unsupervised Learning Concepts
  • Linear and Logistic Regression for Forecasting
  • Decision Trees and Random Forests
  • Clustering (K-Means) for Advanced Customer Segmentation
  • Model Evaluation Metrics (Accuracy, Precision, Recall, F1-Score)
  • Practical Implementation using Scikit-Learn

Advanced Build: A Customer Churn Prediction Model accompanied by a Business Recommendation Report.

PHASE 04 Β· REAL-WORLD DEPLOYMENT & CORPORATE READINESS

10 Modern Data Stack & Cloud Warehousing Basics Understand how analytics fits into the modern data ecosystem, including cloud platforms and pipelines.
  • Introduction to Cloud Data Platforms (Snowflake / Google BigQuery)
  • ETL vs. ELT Architectures
  • Data Lakes vs. Data Warehouses vs. Data Lakehouses
  • Basic Data Pipeline Orchestration Concepts
  • Data Quality, Monitoring, and Observability

Advanced Build: A simulated Cloud Data Warehouse setup and a basic ELT pipeline using public datasets.

11 Corporate Training Focus: Agile Analytics & Data Governance Master the workflows, compliance standards, and soft skills required to thrive in a corporate data team.
  • Agile Methodology in Data Projects (Scrum/Kanban Basics)
  • Data Privacy Laws (GDPR, DPDP Act) and Compliance
  • Data Cataloging, Metadata Management, and Data Dictionaries
  • Cross-Functional Team Collaboration and Stakeholder Management
  • Version Control for Analytics (Git/GitHub)

Advanced Build: A collaborative GitHub repository with documented analytics code, a data dictionary, and a README.

12 Capstone Project & Career Acceleration Bring all skills together in a comprehensive project while preparing for the job market with expert guidance.
  • End-to-End Capstone Project Execution (Ideation to Deployment)
  • Professional Resume Building and LinkedIn Profile Optimization
  • Mock Technical (SQL/Python/Case Study) and HR Interviews
  • Portfolio Development (GitHub, Personal Website, or NovyPro)
  • Freelancing, Networking, and Job Search Strategies

Professional Build: An End-to-End Capstone Project (e.g., Supply Chain Analytics) and a polished, public-facing professional portfolio.

Toolset

Tools & Technologies Covered in Our Data Analytics Course

Python
Excel
Power BI
Tableau
Numpy

Projects

What You’ll Build with Data Analytics Training in Anna Nagar

You’ll build working projects from the ground up, apply the concepts you learn, and add each completed project to your GitHub portfolio.

Project 1

Sales Performance & Revenue Analytics Dashboard

Use advanced SQL for data modeling and integrate AI-powered forecasting to automatically predict future revenue trends. Empower management to instantly spot underperforming regions and make proactive, data-driven decisions that boost profitability and guide strategic growth.

Project 2

Customer Segmentation & Churn Analysis

Dive deep into user behavior to customers and build a predictive churn model that identifies customers likely to cancel their subscriptions before they do. Deliver a smart retention dashboard that enables marketing teams to launch highly targeted campaigns, reduce churn, and save at-risk revenue.

Project 3

E-commerce & Retail Analytics

Unlock the secrets of online shopping behavior by Design end-to-end data pipelines that track the entire customer journey and optimize inventory and pricing strategies in real time. Deliver a comprehensive retail analytics hub that directly increases conversion rates and maximizes overall store profitability.

Project 4

Financial Performance & Fraud Detection Analytics

Combine traditional financial reporting with advanced machine learning algorithms to detect hidden fraud patterns in real time. Build a secure, automated financial dashboard that ensures compliance, minimizes risk, and gives stakeholders complete confidence in their financial data.

Project 5

HR Analytics & Employee Attrition Dashboard

Analyze performance reviews, compensation data, and engagement surveys to predict which top performers are at risk of leaving. Create a strategic attrition dashboard that helps HR leaders proactively improve workplace culture, strengthen retention strategies, and keep their best talent.

Your Course Trainers

Guidance From Trainers With Real-World Experience

Faizal Ahmed

Faizal Ahmed

Industry Mentor

Ex‑Fidelity industry expert and technical trainer specialising in Python, SQL and Azure data engineering with Data Factory, Databricks and PySpark. Focused on practical, industry‑oriented learning through real‑time examples and projects.

  • Python
  • SQL
  • Azure Data Factory
  • Azure Databricks
  • PySpark
Hemalatha S

Hemalatha S

Industry Mentor

Industry expert and technical trainer specializing in AI, Python, SQL, and Data Analysis, with corporate training experience and a strong focus on practical, industry‑oriented learning through real‑time examples and projects.

  • Python
  • SQL
  • Data Analysis
  • AI/ML
  • Data Structures & Algorithms
Manoj D

Manoj D

Data Engineering Mentor

Passionate about Data Engineering and AI/ML, with hands‑on experience in Python, SQL, Data Analytics, and modern data technologies. Helps learners understand concepts through practical, industry‑oriented training.

  • Python
  • SQL
  • Data Engineering
  • AI/ML
  • AWS

Certification

Data Analytics Course Certification

  • Verified Certificate

    Unique certificate ID that can be used to verify your credentials.

  • Shareable Credential

    Add your certificate to LinkedIn, your resume, or professional portfolio.

  • Based on Course Completion

    Earn your certificate after completing the required learning and project requirements.

Placement

Data Analytics Training Placement Assistance

Data Analytics Training Placement support continues even after your learning modules are complete, helping you strengthen your resume, present your projects, prepare for interviews, and pursue relevant job opportunities.

500+Trained
100%Placed
120+Projects built
Talk to a placement counsellor

Your road to the offer

  1. 1

    Resume built around your projects

    Rewritten around the work in your portfolio, not a generic template.

  2. 2

    Mock interviews with working mentors

    The technical and HR questions you will actually be asked, rehearsed until they are easy.

  3. 3

    Referrals to our hiring partners

    Your portfolio goes in front of companies hiring for these roles.

  4. 4

    Offer in hand? We stay until you join

    Negotiation guidance and joining support.

  5. Hired

Skills You’ll Gain from Data Analytics Training in Anna Nagar

By the end, you can do this

  • Turn raw datasets into meaningful business insights using practical analytics techniques.
  • Write advanced SQL queries to extract, transform, filter, join, and analyze data efficiently.
  • Use Python, Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.
  • Clean, organize, analyze, and report data using advanced Excel functions, Pivot Tables, and charts.
  • Build interactive dashboards with KPIs, filters, drill-throughs, and business-focused visualizations.
  • Create calculated measures, build relationships, and develop efficient analytical data models.
  • Present complex datasets through clear, interactive, and decision-focused visualizations.
  • Apply analytics skills to retail, ecommerce, finance, supply chain, and other business scenarios.
  • Develop practical analytics projects that demonstrate your SQL, Python, Excel, and Power BI capabilities.
  • Build the technical, analytical, and presentation skills required for Data Analyst and Business Intelligence opportunities.

Job roles & salary

Where this takes you

Learn practical skills and explore job roles that match your interests. Discover salary opportunities and take your first step toward a successful tech career.

Data Analyst

Analyze data, identify trends, and generate actionable insights using SQL, Excel, Python and visualization tools.

Business Analyst

Analyze business requirements and data to support strategic decisions and improve business performance.

BI Analyst

Build interactive dashboards, reports, and data visualizations to track KPIs and support data-driven decisions.

Reporting Analyst

Create reports, analyze performance metrics, and transform business data into meaningful data.

RoleFresher (0–2 yrs)Mid (2–5 yrs)Senior (5+ yrs)
Data Analystβ‚Ή4–6 LPAβ‚Ή6–10 LPAβ‚Ή10–15+ LPA
Business Analystβ‚Ή4–6 LPAβ‚Ή6–10 LPAβ‚Ή10–15+ LPA
BI Analystβ‚Ή4–6 LPAβ‚Ή7–11 LPAβ‚Ή11–16+ LPA
Reporting Analystβ‚Ή3.5–5.5 LPAβ‚Ή6–9 LPAβ‚Ή9–14+ LPA

Video stories

Hear it from our learners

Real learners on what changed for them after Intellea.

HariFrom a career gap to practical learning
Muruga VigneshFrom zero coding to an IT internship
JohnsonFrom aspiring IT professional to intern
Fiona & RionaTwin sisters who chose Intellea for AI
VijayFrom confused fresher to a 9 LPA placement
SwethaFrom engineering graduate to IT professional
GunaleshFrom ECE graduate to IT professional

Learner stories

In their own words

Harish

β˜…β˜…β˜…β˜…β˜…

The course is simple to follow and matches exactly what companies look for. The mentors guide you through every single step patiently.

Google review

Oviiyaa Chandrasekar

β˜…β˜…β˜…β˜…β˜…

The internship support here is the real deal. You get to work on practical tasks that help you understand how IT companies actually operate.

Google review

Kanagapriya

β˜…β˜…β˜…β˜…β˜…

A fantastic starting point for college graduates near Karapakkam. They turn confusing coding theories into simple logic anyone can understand.

Google review

Harikrishnan K

β˜…β˜…β˜…β˜…β˜…

Learning at intellea IT company internship is exceeded my expectations and feels too confidence. The experienced trainers explained every topic with practical examples and industry insights. The AI-powered learning portal made it easy to revise concepts and practice anytime. The real-time projects improved my technical skills, problem-solving ability, and confidence. I highly recommend intellea to anyone looking for a software training institute in Chennai.

Google review

Mehshan Khan

β˜…β˜…β˜…β˜…β˜…

I enrolled at INTELLEA to gain practical IT skills. The placement support, resume guidance, and mock interviews prepared me well for job opportunities. The real-time projects improved my technical skills, problem-solving ability, and confidence. The experienced trainers explained every topic with practical examples and industry insights. If you want practical learning and industry-ready skills, INTELLEA is an excellent choice.

Google review

Lamia Luqman

β˜…β˜…β˜…β˜…β˜…

My friend referred me to this course, and It completely changed my Skills. The trainers are people with experience from Fidelity and Amazon.

Google review

Abu Baker

β˜…β˜…β˜…β˜…β˜…

The internship certificate and real-world project validation gave a massive boost to my otherwise empty resume.

Google review

Read more learner stories β†’

FAQ

Common Questions About the Data Analytics Course in Anna Nagar

Why should I choose Intellea for Data Analytics Training in Anna Nagar?

We offer practical Data Analytics training designed to help learners develop industry-relevant skills. The course covers essential tools such as SQL, Python, Excel, and Power BI, along with hands-on projects and real-world use cases.

How much does the Data Analytics course cost?

Our Data Analytics course fees at Intellea depend on the training duration, course modules, and selected batch. Please contact our course advisor to get the latest fee details, available offers, and flexible payment options.

Who will train me in Data Analytics, and how are the trainers selected?

Our Data Analytics course is delivered by trainers with relevant industry experience and practical knowledge of analytics tools. They are carefully selected based on their technical expertise, subject mastery, and ability to explain complex concepts through practical examples and real-world applications.

What training modes are available for the Data Analytics course?

We provide flexible training options to suit both students and working professionals. You can choose offline classroom training or live instructor-led online sessions, depending on batch availability.

What real-world projects are included in the Data Analytics course?

Our course includes practical projects that help you apply your analytical skills to real-world business scenarios. You will work with SQL, Python, Excel, and Power BI to perform data cleaning, analysis, visualization, and reporting.

What is the duration of the Data Analytics course?

The duration of our Data Analytics training depends on the selected batch schedule and course coverage. The program is structured to provide sufficient time for learning core concepts, practicing with analytics tools, completing hands-on projects, and preparing for technical interviews.

What happens if I miss a Data Analytics training session?

If you miss a training session, you can use the available learning resources and session recordings to catch up on the topics covered. You can also clarify any doubts with your trainer and receive guidance to stay on track with the course.

Does Intellea provide placement assistance after completing the course?

Yes, we provide comprehensive placement assistance to help learners prepare for job opportunities after completing the course. This support includes resume preparation, LinkedIn profile optimization, mock interviews, technical interview preparation, and assistance with relevant job openings, as per program terms.

Is a Data Analytics certification worth it?

Yes, a Data Analytics certification helps demonstrate your knowledge of analytics concepts and tools to potential employers. When combined with practical project experience and a strong portfolio, it significantly strengthens your profile for entry-level and career transition opportunities in the data analytics field.

How can I contact the Intellea course advisor?

Please contact our course advisor at +91 7448848481, or you can share your queries through info@intelleatech.com.

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