Does Intellea provide placement assistance after completing the Data Analytics course?

Yes, Intellea provides placement assistance designed to help eligible learners prepare for Data Analytics and related technology roles. Support may include resume preparation, interview guidance, mock interviews, and career assistance as per program terms.

Best Data Analytics Training in Sholinganallur

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.

Google Cloud

Microsoft

Amazon

IBM

Oracle

Salesforce

Infosys

Wipro

HCLTech

Cognizant

Capgemini

Thoughtworks

Hexaware

Atos

Fidelity

Wells Fargo

American Express

Binance

Zoho

Google

About this course

What You’ll Learn in the Data Analytics Course in Sholinganallur

Our Data Analytics Course in Sholinganallur is designed to transform you into a confident, job-ready data professional. We believe in learning by doing, so instead of overwhelming you with heavy theory, you’ll progress step-by-step from foundational basics to real-world analysis using industry-standard tools like Excel, SQL, Python, and Power BI. Your learning journey is highly practical, featuring hands-on assignments, live industry datasets, and multiple projects that build up to a comprehensive Capstone Project. You’ll never be left to figure things out alone—our expert trainers provide personalized guidance, clear your doubts, and share exclusive study resources. Your success is our top priority, which is why our support extends far beyond the classroom. We offer complete career preparation, including professional resume building, LinkedIn profile optimization, communication coaching, and realistic mock interviews. Upon successful completion, you’ll earn an industry-recognized certificate and receive dedicated placement assistance to help you confidently land your dream role in the data field.

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.

Starts	Schedule	Seats
Nov 16Monday	Morning 2 11:30 AM to 1:00 PM	6 of 50 filledStarts today	Reserve seat
Nov 16Monday	Evening 2 6:30 PM to 8:00 PM	3 of 50 filledStarts today	Reserve seat
Nov 30Monday	Morning 1 9:30 AM to 11:00 AM	Enrolment open	Reserve seat
Nov 30Monday	Evening 1 4:30 PM to 6:00 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 Sholinganallur 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 · FOUNDATION & DATA WRANGLING

01 Data Analytics Fundamentals & Python Programming Master the core tools and programming basics required to efficiently manipulate and analyze data.

Data Analytics lifecycle and industry roles
Python basics: variables, data structures, and functions
Data manipulation with Pandas DataFrames
Numerical computing with NumPy
Jupyter Notebooks and VS Code environment setup
Version control basics with Git and GitHub

Beginner Build: A Python script to automatically clean and standardize a raw CSV dataset.

02 Advanced SQL & Database Management Go beyond basic queries to master complex data extraction and database optimization.

Relational database design and normalization
Advanced querying: CTEs, Subqueries, and Window Functions
Stored procedures, triggers, and views
Query optimization, indexing, and execution plans
NoSQL database basics (MongoDB)
Connecting Python applications to SQL databases

Beginner → Intermediate Build: A scalable, normalized e-commerce relational database design and query suite.

03 Data Wrangling & Exploratory Data Analysis (EDA) Transform raw data into clean, analysis-ready formats while uncovering hidden patterns.

Handling missing data, duplicates, and outliers
Data transformation and feature engineering techniques
Statistical summaries and data distribution analysis
Data visualization with Matplotlib and Seaborn
Hypothesis testing and A/B testing fundamentals
Automating EDA reports (e.g., Pandas Profiling / Sweetviz)

Intermediate Build: A comprehensive EDA report and visualization suite for a real-world retail dataset.

PHASE 02 · ADVANCED ANALYTICS & BUSINESS INTELLIGENCE

04 Business Intelligence with Power BI & AI Copilot Build interactive, enterprise-grade dashboards leveraging Microsoft’s AI-driven analytics features.

Power BI architecture and Star Schema data modeling
DAX fundamentals and advanced time-intelligence calculations
Data transformation with Power Query (M Language)
Integrating Power BI Copilot for natural language queries
Row-level security (RLS) and workspace management
Publishing, sharing, and setting up automated data refreshes

Intermediate Build: An executive sales performance dashboard with AI-driven anomaly detection.

05 Advanced Data Visualization & Storytelling with Tableau Master Tableau to create highly interactive, visually stunning dashboards that drive business decisions.

Tableau interface, live connections, and extracts
Calculated fields and Level of Detail (LOD) expressions
Advanced visualizations: heatmaps, dual-axis charts, and geospatial maps
Dashboard actions, parameters, and interactivity
Data storytelling principles and dashboard design best practices
Tableau Server/Cloud deployment and user management

Intermediate Build: An interactive supply chain analytics dashboard with dynamic drill-down capabilities.

06 Statistical Analysis & Predictive Modeling Basics Apply machine learning concepts to forecast trends and classify business outcomes.

Probability distributions and sampling techniques
Correlation, multiple regression, and ANOVA
Time series analysis and forecasting basics (ARIMA, Prophet)
Introduction to Scikit-Learn for machine learning
Building and tuning linear and logistic regression models
Model evaluation metrics (RMSE, Accuracy, Precision, ROC-AUC)

Intermediate → Advanced Build: A customer churn prediction model with actionable business recommendations.

PHASE 03 · MODERN DATA STACK & ENGINEERING

07 Cloud Data Warehousing (Snowflake / BigQuery) Store, manage, and query massive datasets using modern, scalable cloud architectures.

Cloud data warehouse architecture vs. traditional on-premise DBs
Snowflake/BigQuery setup, virtual warehouses, and compute scaling
Bulk data loading (COPY INTO / BQ Load Jobs)
Handling semi-structured data (JSON, Parquet, Avro)
Role-based access control (RBAC) and data governance
Cost optimization and query performance tuning

Advanced Build: A migrated, structured, and optimized multi-source dataset in a cloud data warehouse.

08 Data Pipeline Automation (dbt & Apache Airflow) Master the ELT paradigm to build reliable, tested, and documented data transformation pipelines.

ELT vs. ETL paradigms and the Analytics Engineering role
dbt core setup, project initialization, and directory structure
Writing modular SQL models, macros, and automated tests in dbt
DAG creation, task dependencies, and scheduling with Apache Airflow
Monitoring pipeline failures, logging, and alerting
Auto-generating data documentation and lineage graphs in dbt

Advanced Build: An automated daily ELT pipeline transforming raw cloud data into analytics-ready tables.

09 Big Data Processing & Spark Basics Handle massive datasets using distributed computing frameworks like Apache Spark.

Distributed computing concepts and Hadoop ecosystem overview
PySpark architecture: RDDs vs. DataFrames
Spark SQL for large-scale, distributed data querying
Handling data skew, partitioning, and bucketing
Integrating Spark with cloud storage (AWS S3 / Azure ADLS)
Performance tuning and caching strategies in Spark

Advanced Build: A PySpark pipeline to process, aggregate, and analyze a multi-gigabyte web log dataset.

PHASE 04 · AI ENGINEERING, DEPLOYMENT & CORPORATE READINESS

10 Generative AI for Data Analytics Leverage Large Language Models (LLMs) to automate reporting, query data, and build intelligent agents.

LLM fundamentals tailored for data professionals
Text-to-SQL generation using OpenAI API or local models
Building custom AI data agents with LangChain
Prompt engineering for automated data summarization
Automating narrative report generation with GenAI
Ethical AI, bias mitigation, and data privacy considerations

Advanced Build: A secure chatbot that answers natural language questions about a company database.

11 MLOps & Real-World Model Deployment Take analytics models out of notebooks and into production for real business use.

Introduction to the MLOps lifecycle and best practices
Containerization of analytics apps using Docker
Deploying predictive models as REST APIs (FastAPI / Flask)
CI/CD pipelines for data projects using GitHub Actions
Model monitoring, data drift detection, and retraining triggers
Basics of MLflow for experiment tracking and model registry

Expert Build: A deployed predictive analytics model as a live REST API with a Streamlit web frontend.

12 Corporate Capstone, Resume Building & Interview Prep Synthesize all learned skills into a portfolio-ready project while mastering the job-hunting process.

End-to-end execution of a comprehensive capstone project
Resume optimization for ATS (Applicant Tracking Systems)
Mock technical (SQL/Python) and behavioral HR interviews
Building a professional, well-documented GitHub portfolio
LinkedIn profile optimization and networking strategies
Agile, Scrum methodologies, and stakeholder communication in data teams

Professional Build: A fully documented, deployed capstone project presented to industry experts for feedback.

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 Sholinganallur

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

E-Commerce Sales Performance

Build a comprehensive data pipeline to clean raw transactional records and uncover hidden purchasing trends across multiple retail channels. Develop an interactive exploratory analysis that highlights seasonal sales spikes and identifies top-performing product categories.

Project 2

Supply Chain Logistics and Inventory Optimization Dashboard

Design a dynamic Power BI dashboard to monitor real-time inventory levels and track supplier delivery performance across global warehouses. Create automated visual alerts that help operations teams prevent stockouts and reduce excess holding costs.

Project 3

Predictive Customer Churn and Retention Model for Banking

Develop a machine learning model to predict which bank customers are most likely to close their accounts within the next quarter. Create actionable risk scores that allow the retention team to proactively offer targeted incentives.

Project 4

Automated SaaS Revenue and User Engagement Pipeline

Build an automated ELT pipeline using dbt to transform raw subscription data into clean, analytics-ready financial models. Design a fully documented data warehouse schema that tracks monthly recurring revenue and user activation rates.

Project 5

Employee Attrition Prediction

Develop a predictive analytics solution to identify key factors driving employee turnover and forecast future attrition risks across departments. Create an interactive HR dashboard that visualizes workforce demographics, satisfaction scores, and retention metrics for leadership.

Your Course Trainers

Guidance From Trainers With Real-World Experience

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

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

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

Certificate of completion — Data Analytics

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
Resume built around your projects
Rewritten around the work in your portfolio, not a generic template.
2
Mock interviews with working mentors
The technical and HR questions you will actually be asked, rehearsed until they are easy.
3
Referrals to our hiring partners
Your portfolio goes in front of companies hiring for these roles.
4
Offer in hand? We stay until you join
Negotiation guidance and joining support.
Hired

Skills You’ll Gain from Data Analytics Training in Sholinganallur

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.

Role	Fresher (0–2 yrs)	Mid (2–5 yrs)	Senior (5+ yrs)
Data Analyst	₹4–6 LPA	₹6–10 LPA	₹10–15+ LPA
Business Analyst	₹4–6 LPA	₹6–10 LPA	₹10–15+ LPA
BI Analyst	₹4–6 LPA	₹7–11 LPA	₹11–16+ LPA
Reporting Analyst	₹3.5–5.5 LPA	₹6–9 LPA	₹9–14+ LPA

Video stories

Hear it from our learners

Real learners on what changed for them after Intellea.

**Hari**From a career gap to practical learning

**Muruga Vignesh**From zero coding to an IT internship

**Johnson**From aspiring IT professional to intern

**Fiona & Riona**Twin sisters who chose Intellea for AI

**Vijay**From confused fresher to a 9 LPA placement

**Swetha**From engineering graduate to IT professional

**Gunalesh**From ECE graduate to IT professional

Learner stories

In their own words

Harish

★★★★★

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

★★★★★

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

★★★★★

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

Google review

Harikrishnan K

★★★★★

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

★★★★★

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

★★★★★

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

★★★★★

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

Google review

Harish

★★★★★

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

★★★★★

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

★★★★★

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

Google review

Harikrishnan K

★★★★★

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

★★★★★

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

★★★★★

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

★★★★★

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

Google review

Common Questions About the Data Analytics Course in Sholinganallur

Why should I choose Intellea for Data Analytics Training in Sholinganallur?

Intellea stands out by offering industry-focused, practical learning with real-world projects and strong placement support right in Sholinganallur. Our beginner-to-intermediate tracks ensure you build job-ready skills with dedicated expert guidance every step of the way.

How much does the Data Analytics course cost?

Our course offering incredible value for the comprehensive, hands-on training provided. We also occasionally run special offers or skill development initiatives, so it is best to check with our advisors for the latest fees.

Who are the Data Analytics trainers at Intellea?

You will learn from experienced industry experts who break down complex topics with practical examples and real-world insights. While specific trainer names vary by batch, all mentors are seasoned professionals dedicated to making you truly job-ready.

What training modes are available for the Data Analytics course?

Intellea offers flexible batch options, including offline classroom sessions at our Sholinganallur center and interactive live online training. This flexibility ensures you can easily pick a learning mode and schedule that perfectly fits your personal and professional life.

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

The curriculum includes hands-on project portfolios where you apply tools like SQL, Python, Excel, and Power BI to actual business scenarios. These capstone projects are specifically designed to prove your practical skills to future employers and build an interview-ready portfolio.

How long does the Data Analytics course take to complete?

The program is structured as an intensive 3-month learning journey, balancing deep skill-building with a quick transition to the workforce. This duration is carefully designed to take you smoothly from a beginner level to a confident, intermediate data analyst.

What if I miss a Data Analytics training session?

Don’t stress, as Intellea provides flexible batch options and backup classes or recordings to ensure you never fall behind on your learning. Our 24/7 coding support and AI-powered Intellea Assistant also help you catch up on any missed concepts at your own comfortable pace.

Does Intellea provide placement assistance after the Data Analytics course?

Absolutely, we offer dedicated career guidance, resume building, and strong placement support to help you confidently land your dream IT job. Our successful alumni network is already working in leading tech companies and growing startups, proving our reliable placement track record.

Is a Data Analytics certification worth it?

Yes, it is a powerful career accelerator that validates your hands-on skills and makes your resume stand out to top tech recruiters. Every industry today needs professionals who can turn raw data into actionable insights, making this certification highly valuable.

How can I contact the Intellea course advisor?

You can easily reach out to our friendly team by calling Please contact our course advisor at +91 7448848481, or you can share your queries through info@intelleatech.com.

Intellea alumni work at leading tech companies and growing startups

What You’ll Learn in the Data Analytics Course in Sholinganallur

Find the Right Batch for Your Learning Journey

Is This Course Right for You

Complete Beginners

Level Up as a Professional

Career Switchers

Anyone Ready to Learn Data Analytics

Data Analytics Training in Sholinganallur Curriculum

Tools & Technologies Covered in Our Data Analytics Course

What You’ll Build with Data Analytics Training in Sholinganallur

E-Commerce Sales Performance

Supply Chain Logistics and Inventory Optimization Dashboard

Predictive Customer Churn and Retention Model for Banking

Automated SaaS Revenue and User Engagement Pipeline

Employee Attrition Prediction

Guidance From Trainers With Real-World Experience

Faizal Ahmed

Hemalatha S

Manoj D

Data Analytics Course Certification

Verified Certificate

Shareable Credential

Based on Course Completion

Data Analytics Training Placement Assistance

Resume built around your projects

Mock interviews with working mentors

Referrals to our hiring partners

Offer in hand? We stay until you join

Hired

By the end, you can do this

Where this takes you

Data Analyst

Business Analyst

BI Analyst

Reporting Analyst

Hear it from our learners

In their own words

Common Questions About the Data Analytics Course in Sholinganallur

More career-focused tracks

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