This course is designed to transform you from a beginner into a confident Data Scientist who can analyze data, build ml models, and develop real-world data science applications using industry standard tools and techniques with Current Industry Placement Guidance
5.0
(43 ratings)
128 Total Learners
8 Weeks
Industrial Training
Tamil
Batch #1 starts Sep 14, 2026
15% off with code DSCFOD15
What You'll Learn
Programming
Data Extraction
Data Transformation
Data Visualization
Feature Engineering
Model Building
Real-World Projects
Placement Training
Requirements
Basic Computer Operating Skills
Google Chrome (or) Microsoft Teams
Good Internet Connection
No need of Previous Coding Knowledge
Tools & Technologies
Python
Pandas
NumPy
Matplotlib
Seaborn
Scikit-Learn
Course Description
Master Data Science from scratch—no prior coding experience needed. This program takes you from Python fundamentals through Pandas, NumPy, Matplotlit, Seaborn, Sci-kit learn, and machine learning, building practical skills at every stage. You’ll work on real-world projects and build a portfolio that demonstrates your ability to solve business problems using data. Dedicated placement training covers resume building, interview preparation, project presentation, and job search strategy. Perfect for absolute beginners, freshers, and non-IT professionals looking to build a career in data science.
Right for You?
Who This Course is For
Aspiring Data scientist looking for structured, guided learning
Job seekers preparing for data science & machine learning interviews
Students aiming to enter the AI domain with practical skills
Professionals planning a career switch into Data Science & ML
Course Curriculum
5 modules • 42 lessons
Module 1: Python for Data Science
8 lessons
Introduction to Python & Environment Setup
Python Syntax & Data Types
Variables, Operators & Expressions
Conditional Statements & Loops
Functions & Modules
Lists, Tuples, Sets & Dictionaries
File Handling & Exception Handling
Python Libraries Overview for Data Science
Module 2: Data Analysis
16 lessons
Pandas & NumPy Essentials
Read & Write Data
Indexing, Selection & Slicing
Filtering & Querying Data
Handling Missing Values & Null Data
Handling Duplicates & Inconsistent Data
Data Type Conversion & Formatting
Renaming, Reordering & Dropping Columns
Sorting & Ranking Data
Grouping & Aggregation
Merging, Joining & Concatenating DataFrames
Pivot Tables & Cross Tabulation
String Operations & Text Cleaning
Date & Time Operations
Apply, Map & Lambda Functions
Window Functions & Rolling Calculations
Module 3: Data Visualization
7 lessons
Matplotlib & Seaborn Essentials
Anatomy of Charts
Line, Bar & Pie Charts
Scatter Plots & Bubble Charts
Histograms & Distribution Plots
Box Plots & Whisker Charts
Exploratory Data Analysis & AutoViz Tools
Module 4: Machine Learning
5 lessons
Feature Engineering Concepts
Regression Techniques
Classification Methods
Clustering Algorithms
Real-world Industrial Project
Module 6: Placement Training
6 lessons
Resume Building
Telephonic Interview Preparation
Coding Round Preparation
Technical Interview Preparation
HR Interview Preparation
Job Application Guidance
Our Advantage
Why Choose This Course
01Live, instructor-led training with real-time doubt support
02Focus on end-to-end machine learning workflow
03Includes hands-on projects and real-world datasets
04Designed to make you job-ready with interview-focused training
05Placement Training with Job Application Guidance
Your Instructors
Parthiban Kannan
Co-founder & Manager
24
Courses
14+ years of experience in digital transformation, leading teams of 15+ members and delivering 160+ projects for organizations like Lakshmi Machine Works, Milacron, Schneider Electric, Aatomz Research, and Variablz Technologies.
AI innovator with a patent approved by the Government of India, with strong expertise in Data Science, Data Analysis, Business Intelligence, and Software Development.
Leelavathi Ramesh
Business Intelligence Analyst
16
Courses
4+ years of experience as a Business Intelligence Analyst, with hands-on expertise at Variablz Technology and Schneider Electric. Statistics graduate with practical experience across Marketing, Production, and Sales Analytics.
FAQ
Frequently Asked Questions
01Is this a beginner-friendly course?
Yes, the course starts from basics and gradually moves to advanced concepts.
02Is this a live or recorded course?
This is a live, instructor-led course with real-time interaction and support and course recordings will be shared. Also recordings will be shared for 1 year
03Will I get hands-on practice?
Yes, the course includes practical exercises, assignments, and real-world projects.
04Is this course suitable for job seekers?
Yes, it is designed specifically to help you become job-ready for Data science roles.
05Do I need prior coding knowledge?
No, the course is beginner-friendly and does not require prior coding experience.
06What happens after completing the course?
You will be equipped with job-ready skills and can apply for data science roles.
07Will I learn machine learning and model building?
Yes, you will learn to build classification, regression and clustering models using Scikit-learn
08How much the certificate is worth?
The certificate is Aadhar verified and downloadable for life-time, so the student can share it via resume and linkedin to get the recruiter attention.
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