Data Science

Join IIM Veda’s Advanced Data Science Program and gain hands-on expertise in Python, Statistics, Machine Learning, Deep Learning, AI tools, and real business case studies.

Master Data Science, AI & Machine Learning with Real-World Projects

Join IIM Veda’s Advanced Data Science Program and gain hands-on expertise in Python, Statistics, Machine Learning, Deep Learning, AI tools, and real business case studies.
  • 100% Practical Training
  • Live Industry Projects
  • Placement Assistance
  • Internship Opportunity
  • Industry-Recognized Certification
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Core Benefits of the Course

Industry-Oriented Curriculum

Designed according to current data science job roles including Data Scientist, ML Engineer, and AI Analyst.

Hands-On Project Experience

Work on real datasets like sales forecasting, fraud detection, customer segmentation, and predictive modeling.

AI & Machine Learning Specialization

Learn advanced ML algorithms, deep learning models, and AI-based automation tools.

Career & Placement Support

Resume building, GitHub portfolio creation, mock interviews, and dedicated placement assistance.

Key Highlights of the Course

25+ Advanced Modules

15+ Industry Tools Covered

10+ Real-World Case Studies

Capstone Project

Resume Building & Interview Preparation

Internship Certificate

Mock Interviews

Portfolio & LinkedIn Optimization

Lifetime Career Support

Course Modules

Module 1: Introduction to Data Science

  • What is Data Science
  • Data Science Lifecycle
  • Roles & Career Opportunities
  • Real-World Applications

Module 2: Mathematics for Data Science

  • Linear Algebra Basics
  • Probability Theory
  • Statistics Fundamentals
  • Hypothesis Testing

Module 3: Python Programming (Beginner to Advanced)

  • Using Python
  • Variables & Data Types
  • Loops & Functions
  • OOP Concepts
  • File Handling

Module 4: Python Libraries for Data Science

  • NumPy
  • Pandas
  • Data Cleaning
  • Data Manipulation

Module 5: Data Visualization

  • Matplotlib
  • Seaborn
  • Plotly
  • Data Storytelling

Module 6: SQL & Database Management

  • Using MySQL
  • Database Basics
  • Queries & Joins
  • Aggregations
  • Subqueries

Module 7: Exploratory Data Analysis (EDA)

  • Pattern Identification
  • Trend Analysis
  • Outlier Detection

Module 8: Feature Engineering

  • Feature Selection
  • Feature Scaling
  • Encoding Techniques

Module 9: Machine Learning – Supervised Learning

  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forest

Module 10: Machine Learning – Unsupervised Learning

  • K-Means Clustering
  • Hierarchical Clustering
  • PCA

Module 11: Model Evaluation & Optimization

  • Confusion Matrix
  • Accuracy, Precision, Recall
  • Cross Validation
  • Hyperparameter Tuning

Module 12: Deep Learning Fundamentals

  • Neural Networks
  • Activation Functions
  • Backpropagation
  • Using TensorFlow

Module 13: Computer Vision Basics

  • Image Processing
  • CNN Introduction
  • Image Classification

Module 14: Natural Language Processing (NLP)

  • Text Preprocessing
  • Sentiment Analysis
  • Tokenization
  • Word Embeddings

Module 15: AI & Generative AI

  • Using ChatGPT
  • AI in Business Applications
  • Prompt Engineering
  • AI Model Usage
  • Automation with AI

Module 16: Big Data Fundamentals

  • Introduction to Big Data
  • Hadoop Basics
  • Spark Overview
  • Using Apache Spark

Module 17: Power BI & Dashboarding

  • Using Microsoft Power BI
  • Data Modeling
  • DAX Basics
  • Dashboard Creation

Module 18: Tableau Visualization

  • Using Tableau
  • Charts & Graphs
  • Interactive Dashboards

Module 19: Cloud Basics for Data Science

  • Introduction to Cloud
  • Data Storage in Cloud
  • Deployment Basics

Module 20: Time Series Analysis

  • Forecasting Models
  • ARIMA Basics
  • Trend & Seasonality

Module 21: Real-Time Case Studies

  • Sales Prediction
  • Customer Churn Analysis
  • Fraud Detection
  • Stock Price Analysis

Module 22: Capstone Project

  • End-to-End ML Model Development
  • Business Insight Reporting
  • Final Presentation

Module 23: Git & GitHub for Data Scientists

  • Version Control
  • Project Upload
  • Portfolio Development

Module 24: Resume & Interview Preparation

  • Technical Interview Questions
  • Case Study Rounds
  • HR Interview Preparation

Module 25: Internship & Placement Support

  • Live Project Work
  • Internship Certificate
  • Placement Assistance

Tools Covered

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Student Testimonial

I am completely satisfied with the level of professional teaching. I recommend these courses to everyone.

James Smith

CFO Apple Corp

Edubin is a reliable kidcare platform that matches parents who need care with trusted sitters.

Monica Blews

Manager

I am completely satisfied with the level of professional teaching. I recommend these courses to everyone.

John Dowson

Developer

Edubin is a reliable kidcare platform that matches parents who need care with trusted sitters.

Monica Blews

Manager

I am completely satisfied with the level of professional teaching. I recommend these courses to everyone.

John Dowson

Developer

Earn Globally Recognised Certifications

This certification validates your practical training in SEO, paid ads, analytics, social media marketing, AI tools, and live campaign handling.

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Frequently Asked Questions (FAQ)

Do I need coding knowledge?

No. We start from basics.

Is placement assistance provided?

Yes, including resume, portfolio, and mock interviews.

What is course duration?

6 months depending on batch type.

Will I work on live projects?

Yes, real-world datasets and capstone projects are included.

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