Data Science Course
Learn, Create, and Launch Your Career
Kickstart your IT career with our AI-Powered Data Science Program. Learn from industry experts (online & offline), master Excel, SQL, Python, Power BI, and AI-driven analytics tools, work on real-world data projects, and graduate job-ready with confidence.
🌐 தமிழ் & English
Join Data Science Program
Data Science Course - Overview
This program equips you with advanced skills in data analysis, visualization, AI-powered tools, and real-world projects to prepare you for top analytical roles. Learn under expert guidance and become a job-ready Data Science.
500+
Students Trained
25+
Industry Experts
10+
Live Projects
10+
Hiring Partners
What will you learn ?
This program equips you with advanced skills in data analysis, visualization, AI-powered tools, and real-world projects to prepare you for top analytical roles. Learn under expert guidance and become a job-ready Data Analyst.
- Programming Basics to Advanced
- Data Structures & Algorithms
- Excel
- Introduction to PowerBI
- Report Visualization and Properties
- Power Query
- Dax
- Insights And Subscriptions
Why Choose Our Course?
100% Practical Learning
Hands-on sessions ensure you learn by building real projects, not just theory. This approach boosts retention and job readiness.
AI-Integrated Training
Gain cutting-edge skills by applying AI tools within full stack development workflows. Stay ahead with future-proof knowledge.
Live Projects
Work on industry-grade projects that mirror real business challenges. Build a strong portfolio to impress recruiters.
One-to-One Mentorship
Personalized guidance from experts helps clarify doubts faster and accelerate your learning curve.
Job Placement Support
Get dedicated career assistance, from resume building to interview preparation, ensuring smooth entry into the IT field.
Industry-Curated Modules
Course content is designed with input from top tech professionals, keeping it aligned with real-world demands.
Reasons to do Course Certification Training
₹ 5.5 L
25%
10,000+
Top global companies for employee training
This course is trusted by top global companies for employee training and is featured in our collection of industry-leading programs.
Who Can Join Our AI Full Stack Developer Course?
Fresh Graduates
Kickstart your IT career with industry-ready skills and hands-on training.
Working Professionals
Upgrade your skills to stay relevant in the evolving tech industry.
Career Switchers
Transition into software development with structured guidance and projects.
Entrepreneurs
Build technical expertise to create and scale your own digital solutions.
Students in Any Discipline
Learn programming and full stack concepts regardless of your background.
Self-Taught Programmers
Gain structured learning, mentorship, and career opportunities.
Data Science Tools Covered
Python
Pandas
NumPy
Matplotlib
SQL
PowerBI
Excel
Course Syllabus
Excel Fundamentals
- Excel Interface Overview
- Workbook & Worksheet Structure
- Basic Formatting
- Basic Formulas: SUM, AVERAGE, MIN, MAX, COUNT, COUNTA
- Conditional Functions: IF, AND, OR, Nested IF
- Text Functions:LEFT, RIGHT, MID, LEN, CONCAT, UPPER, LOWER, PROPER, TRIM
Excel Advanced
- Lookup Functions: VLOOKUP, HLOOKUP
- XLOOKUP, INDEX + MATCH Data Cleaning
- Techniques: Remove Duplicates, Find & Replace
- Flash Fill, Text to Columns Sorting
- Filtering & Advanced Filters Conditional
- Formatting Pivot Tables – Grouping
- Summaries, Calculated Fields Charts
- Visualization: Line, Bar, Pie, Combo Charts
Introduction & Setup
- Introduction to Power BI & Its
- Components Power Query, Data Model,
- DAX, Reports Installing Power BI
- Desktop Getting Familiar with the Interface
- Importing Data from Excel / CSV / SQL
Data Cleaning & Transformation (Power Query)
- Power Query – Data Cleaning Remove
- Rows, Fill, Replace, Split Columns
- Column Transformations Merge
- Append, Unpivot Basic Data Profiling (Errors & Nulls Handling)
Functions
- Function declaration & expression
- Parameters & return values
- Arrow functions
Data Modeling & Relationships
- Understanding Relationships
- One-to-Many, Many-to-Many
- Star Schema vs Snowflake Schema
- Creating Optimized Data Models
DAX Calculations & Logic
- DAX Basics – Calculated Columns vs Measures
- Aggregation Functions – SUM, COUNT, AVERAGE, DISTINCTCOUNT
- Conditional Logic – IF, SWITCH, CALCULATE, FILTER
- Advanced DAX Functions (Time Intelligence, Ranking, Cumulative Analysis)
Data Visualization & Reporting
- Power BI Visualization Basics
- Bar, Column, Line Charts
- Pie, Donut, Waterfall, KPI Cards
- Maps, Matrix, Slicers, Drill-Down Reports
- Designing Interactive Dashboards
- Layout, Theme, Bookmarks
Advanced Concepts
- How to Build & Publish Dashboards
- Power BI Service (My Workspace)
- Subscriptions & Data Refresh
- Alerts, Gateway Setup
SQL Basics & Data Retrieval
- Introduction to Databases & SQL
- RDBMS Concepts, Tables, Primary & Foreign Keys
- Basic Queries: SELECT, FROM, WHERE – Filtering Records
- Sorting & Limiting Data: ORDER BY, LIMIT
- Removing Duplicates: DISTINCT
- Practice Queries / Assignments
Operators & Conditional Filtering
- Basic Operators: BETWEEN, IN, LIKE, IS NULL
- Combining Conditions: AND, OR, NOT
- Practice Queries / Mini Assignments
Aggregation & Grouping
- Aggregate Functions: SUM, COUNT, AVG, MIN, MAX
- Grouping Data: GROUP BY, HAVING (Advanced Filtering)
- Practice Queries / Case Study
Joins & Relationships
- Understanding Joins: INNER JOIN
- LEFT JOIN, RIGHT JOIN
- FULL OUTER JOIN
- Practice Queries / Multiple Table Scenarios
Advanced SQL Queries
- Set Operations: UNION vs UNION ALL
- Conditional Logic with CASE WHEN
- Subqueries: IN, EXISTS, SELECT within SELECT
- Window Functions: ROW_NUMBER, RANK, DENSE_RANK
- Practice Queries / Problem Solving
Optimization & Views
- Creating and Using Views
- Indexing Basics for Performance
- Best Practices for Query Optimization
- Final Practice Queries / Mini Project
Python Fundamentals
- Data Types – Numbers, Strings, Lists
- Tuples, Dictionaries, Sets
- Conditional Statements (if-else) & Loops (for, while)
- Functions, Lambda Functions, Modules
Numpy
NumPy – Numerical Computing
- Introduction to NumPy Arrays, Array Creation
- Array Indexing & Slicing
- Array Operations: Math, Aggregations, Broadcasting
- Reshaping, Stacking, Splitting Arrays
Pandas
Pandas – Data Manipulation (Basics)
- Series & DataFrame Basics
- Importing Data (CSV, Excel), Viewing & Describing Data
- Filtering, Sorting, Conditional Selection
Pandas – Data Manipulation (Advanced)
- GroupBy, Aggregations
- Merge & Join DataFrames
- Handling Missing Values & Data Cleaning
Data Visualization
- Introduction to Matplotlib: Line, Bar, Scatter
- Histogram, Pie, Subplots
- Seaborn Basics: Heatmap, Boxplot
Capstone Projects to Work on in Our
Data Science Course
Sales Performance Dashboard for a Retail Company
Design and build an interactive sales dashboard that tracks key performance indicators (KPIs) such as revenue, profit margins, regional performance, top-selling products, and customer segments. Use real or simulated sales data across multiple years.
Social Media Sentiment Analysis on a Product Launch
Scrape or collect Twitter or Reddit data related to a recent product launch (e.g., a smartphone, video game, or tech gadget). Perform sentiment analysis to assess public perception and track how it changes over time.
Customer Churn Analysis for a Subscription-Based Business
Analyze customer behavior to identify patterns and predictors of churn in a subscription-based company (e.g., telecom, SaaS, or streaming service). Use historical customer data to build a churn prediction model and uncover actionable insights to reduce churn.
Student Voices
Hear from Our Alumni
