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Data Science – Internship Program

By the end of this internship program, you will be able to independently set up an industry-standard Data Science project from scratch, perform Exploratory Data Analysis to uncover meaningful patterns, clean and transform messy real-world data into analysis-ready format, and apply the right data modeling techniques. You will also be able to build production-level Machine Learning models — including both Regression and Classification models — using real-world industry datasets, just like a professional Data Scientist on the job.

4.9 (32 ratings)
67 enrolled 3 - 4 Weeks Industry Skill Tamil

What You'll Learn

  • End-to-End DS Project
  • Exploratory Data Analysis
  • Data Cleaning & Transformation
  • Regression & Classification Models
  • Real-World Industry Dataset
  • Production-Level ML Models

Requirements

  • Python Basic Skills Mandatory

Tools & Technologies

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

Course Description

A 3–4 week intensive internship program where you learn the complete Data Science workflow through a hands-on, end-to-end project. Classes are conducted live online in Tamil via Microsoft Teams — so you learn in your language, in real time, with expert guidance every step of the way.

Right for You?

Who This Course is For

  • University Students
  • Fresh Graduates
  • Aspiring Data Scientists
  • Career Switchers Welcome
  • Tamil Speaking Learners

Course Curriculum

5 modules • 27 lessons
Module 1: Introduction & Setup 5 lessons
  • Introduction
  • Tools & Techniques
  • 4 Ground Rules
  • Create New Project
  • Create Data Repo
Module 2: Exploratory Data Analysis 5 lessons
  • Exploring the Data
  • Choosing the Right Data Type
  • Exploring Other Features
  • Exploring Data Analysis
  • Profile Report Explained
Module 3: Data Transformation & Data Modeling 7 lessons
  • Validate Data Type
  • Missing Values Detection
  • Optimizing Redundant Data
  • Data Filtering
  • Optimizing Features
  • Handling Outliers
  • Encoding
Module 4: Machine Learning 8 lessons
  • Training & Testing Data
  • Standardization
  • Building Regression Model
  • Regression Metrics
  • Optimizing Collinear Features
  • Classification Approach
  • Optimizing Model Performance
  • Predicting Required Output
Module 5: Completion 2 lessons
  • Project Submission
  • Certificate of Acknowledgement
Our Advantage

Why Choose This Course

  • Live Classes in Tamil
  • Hands-On Project Based
  • Industry Standard Workflow
  • Expert Guided Learning
  • Microsoft Teams Live Sessions

Your Instructor

Parthiban Kannan

Parthiban Kannan

Co-founder & Manager

18 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.

FAQ

Frequently Asked Questions

What is this internship program about?

This is a 3 to 4 week hands-on Data Science internship where you build a complete end-to-end Data Science project u2014 from setup to production-level Machine Learning models u2014 under expert guidance.

Is this program conducted in Tamil?

Yes! All live sessions are taught entirely in Tamil, so you can learn Data Science comfortably in your native language without any language barrier.

How are the classes conducted?

Classes are conducted live online via Microsoft Teams. You will receive a meeting link before each session and can interact with the instructor in real time.

Do I need prior experience in Data Science?

A basic understanding of Python is recommended. You don't need prior Data Science experience u2014 this program takes you through everything step by step.

What tools and technologies will I use?

You will work with industry-standard tools used by real Data Scientists, including Python libraries for data analysis, visualization, and Machine Learning. Specific tools will be covered in the first session.

Will I work on a real dataset?

Yes. You will work on a real-world industry dataset throughout the program u2014 not a toy dataset. This gives you practical experience that you can showcase to employers.

What kind of Machine Learning models will I build?

You will build both Regression and Classification models at a production level, including steps like standardization, feature optimization, and performance tuning.

Will I get a certificate after completing the program?

Yes. Upon successful project submission and completion of the program, you will receive a Certificate of Acknowledgement.