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Tamil/Kannada
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Upto 6 months
No Cost EMI Options
Weekday & Weekend Batches
Classes
10+ Modules
Course Syllabus
4 Months
Duration
Tools You Will Learn
Empowering learners with expert guidance, real-world skills, and future-ready education.
Python
My Sql
Power BI
Matplotlib
Tableau
Jupyter
Seaborn
Scikit-Learn
Pondas
NumPy
AWS
GitHub
What You’ll Learn
Empowering learners with expert guidance, real-world skills, and future-ready education.
Python Basics
Learn Python fundamentals, syntax, control flow, data types, data structures, and OOP concepts.
Advanced Python
Understand error & exception handling, logging, modular programming, and building reusable Python modules.
Databases & Web APIs
Work with MySQL (SQL) and MongoDB (NoSQL) databases. Learn to create API connections using Python and understand basic web application architecture.
Basics of Statistics
Understand core statistical concepts required for data analysis and machine learning.
Advanced Statistics
Learn how statistics drives real business decisions and data-driven strategies.
ntroduction to Data Science
Get familiar with key terminologies, workflows, and real-world applications of Data Science.
Feature Engineering
Learn how to transform raw data into meaningful features that improve model performance.
Exploratory Data Analysis (EDA)
Use statistical methods and visualizations to explore datasets, identify patterns, and monitor key metrics.
Machine Learning Algorithms
Learn industry-standard ML algorithms:
Regression Models
Support Vector Machines (SVM)
Clustering Algorithms
Decision Trees & Ensemble Methods
Bagging & Boosting Techniques
Time Series Data Analysis
Real-World ML Product Development
Build and deploy ML models on the cloud and access them from anywhere.
Projects include:
Spam Detection System
Climate Visibility Prediction
SQL Basics
Understand SQL use cases, data types, and core commands.
Loading Data & Table Creation
Import data from Excel and create tables in MySQL Server.
Keys & Relationships
Learn Primary Keys, Foreign Keys, and database relationships.
Advanced SQL
Work with functions, joins, and subqueries.
Mastering Advanced SQL
Window functions, CTE queries, and data modeling techniques.
Excel Basics
Learn Excel from scratch — rows, columns, cells, worksheets, and workbooks.
Excel Functions
Arithmetic, logical, and lookup functions.
Data Cleaning & Visualization
Handle duplicates, data validation, goal seek, what-if analysis, pivot tables, slicers, and dashboards.
Introduction to Power BI
Understand components, installation, interface, and data loading.
Data Visualization
Create interactive dashboards using built-in charts and custom visuals (Sunburst, Word Cloud, Butterfly, etc.).
DAX Functions
Learn the importance of DAX and how to write powerful calculations.
Advanced Power BI
Data connectivity, report creation, Power BI architecture, and performance optimization.
Collecting Data on AWS
Amazon Kinesis (Streams & Firehose), Snowball, Direct Connect, and AWS Database Migration Service.
Storing Data on AWS
Amazon S3 and other AWS data storage solutions.
Processing Data on AWS
Lambda, Glue, Hadoop ecosystem, EMR, and automated data pipelines.
Analyzing Data on AWS
Amazon Athena, Redshift, Elasticsearch, and Kinesis Data Analytics.
Visualizing Data on AWS
AWS QuickSight fundamentals and hands-on reporting.
Securing Data Pipelines
AWS authentication, authorization, encryption, and data protection strategies.
Project Lifecycle
Understand end-to-end project execution in real business environments.
Industry Frameworks
Learn popular frameworks used in organizations:
CRISP-DM
Agile
Scrum
This Course is Designed For
Empowering learners with expert guidance, real-world skills, and future-ready education.
Before and After Transformation
Stuck Before
- Confused between Data Analyst, Data Scientist, ML
- Resume has theory. Recruiters want skills.
- Tools are easy. Workflows are hard.
- Fear of switching careers without a clear plan.
- You learn alone. No mentor. No feedback
- Blind to 2026's hiring demands.
Success After
- Ability to start real projects with confidence.
- Crystal-clear clarity on the right role for you.
- A resume strategy tailored for Data Science hiring
- Confidence to switch careers without guesswork.
- 1-on-1 mentor support guiding every step.
- Clear path to in-demand jobs.
What Our Students Say
Quick video reviews from students sharing their learning experience and progress.
Frequently Asked Questions
This course is designed for students, working professionals, freshers, and career switchers who want to build a career in Data Science, Machine Learning, and Analytics.
No. We start from basics and build step-by-step. Even beginners with no programming background can follow the course comfortably.
You will learn Python, Statistics, Machine Learning, SQL, Excel, Power BI, AWS, Project Management, and how to build and deploy real-world ML projects.
This is a hands-on, practical course. You will work on real datasets, live projects, dashboards, and ML models, not just theory.
Yes. You will build end-to-end ML projects, including Spam Detection and Climate Visibility Prediction, and deploy them on the cloud.
Yes. You will receive an industry-recognized course completion certificate after successfully completing the program.
Yes. The course is flexible and structured, making it suitable for working professionals to learn alongside their job.
You will work with Python, MySQL, MongoDB, Excel, Power BI, AWS, ML libraries, APIs, and modern analytics tools.
Yes. You will learn how to deploy ML models on AWS and access them from anywhere.
The course duration depends on your learning pace, but it is structured to be completed within 4–6 months with consistent practice.