Industry Skills Online Live

Data Science with Placement Training

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 2 Months | 1 to 1.5 hours/day Industrial Training Tamil

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 Python
Pandas Pandas
NumPy NumPy
Matplotlib Matplotlib
Seaborn Seaborn
Scikit-Learn 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

  • Live, instructor-led training with real-time doubt support
  • Focus on end-to-end machine learning workflow
  • Includes hands-on projects and real-world datasets
  • Designed to make you job-ready with interview-focused training
  • Placement Training with Job Application Guidance

Your Instructors

Parthiban Kannan

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

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

Is this a beginner-friendly course?

Yes, the course starts from basics and gradually moves to advanced concepts.

Is 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

Will I get hands-on practice?

Yes, the course includes practical exercises, assignments, and real-world projects.

Is this course suitable for job seekers?

Yes, it is designed specifically to help you become job-ready for Data science roles.

Do I need prior coding knowledge?

No, the course is beginner-friendly and does not require prior coding experience.

What happens after completing the course?

You will be equipped with job-ready skills and can apply for data science roles.

Will I learn machine learning and model building?

Yes, you will learn to build classification, regression and clustering models using Scikit-learn

How 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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