Master program in Data Science Training by Santosh Kumar Das

The Master Program in Data Science is a comprehensive, industry-oriented training course designed to equip students with advanced skills in data analytics, machine learning, artificial intelligence, and business intelligence tools. This program provides a complete learning pathway—from foundational programming and statistics to real-world data science project development and AI applications.

In today’s data-driven economy, organizations across industries rely on skilled data professionals to analyze data, generate insights, and develop predictive solutions. This course is ideal for students, graduates, working professionals, and aspiring analysts who want to build a successful career in data science, business analytics, and artificial intelligence.

The curriculum focuses on practical learning, real-time projects, and hands-on tool training to ensure students develop both conceptual knowledge and job-ready technical skills.

📘 Master Program in Data Science

Detailed Course Curriculum

🔹 Module 1: Python Programming for Data Science

• Python Fundamentals (Variables, Data Types, Loops, Functions)

• NumPy & Pandas for Data Manipulation

• Data Cleaning & Preprocessing

• Matplotlib & Seaborn for Visualization

• Working with APIs & Web Scraping

• Mini Project

🔹 Module 2: R Programming

• R Basics & Data Structures

• Data Import & Export

• dplyr & tidyverse

• Data Visualization using ggplot2

• Statistical Analysis in R

• Case Study Project

🔹 Module 3: MySQL & Database Management

• SQL Fundamentals

• CRUD Operations

• Joins & Subqueries

• Indexing & Optimization

• Connecting SQL with Python

• Real-time Database Project

🔹 Module 4: Advanced Excel for Analytics

• Advanced Formulas & Functions

• Pivot Tables & Dashboards

• Data Cleaning Techniques

• Power Query & Power Pivot

• Automation using Macros

• Business Analytics Case Study

🔹 Module 5: Power BI

• Data Modeling

• DAX Functions

• Interactive Dashboard Design

• Data Transformation

• Publishing Reports

• Industry Dashboard Project

🔹 Module 6: Tableau

• Tableau Interface & Data Connection

• Charts & Visual Analytics

• Calculated Fields

• Dashboard & Storytelling

• Real-time Business Project

🔹 Module 7: Statistics for Data Science

• Probability Concepts

• Hypothesis Testing

• Regression Analysis

• Correlation & Covariance

• Sampling Techniques

🔹 Module 8: Machine Learning

• Supervised Learning

  • Linear Regression

  • Logistic Regression

  • Decision Trees

  • Random Forest

• Unsupervised Learning

  • K-Means Clustering

  • Hierarchical Clustering

• Model Evaluation

• Feature Engineering

• ML Project

🔹 Module 9: Artificial Intelligence

• Introduction to AI

• Neural Networks Basics

• Deep Learning Concepts

• NLP Fundamentals

• AI Tools & Applications

• Capstone AI Project

🎯 Capstone Project

• Real-world Industry Problem

• End-to-End Data Pipeline

• Model Building & Deployment

• Final Presentation

🎓 Additional Benefits

• 100% Practical Training

• Live Projects

• Resume Building

• Interview Preparation

• Placement Assistance

Teaching Method

This program is offered through both online and offline training modes, providing flexibility for learners. The teaching approach includes:

• Step-by-step concept explanations
• Hands-on practical sessions
• Live project-based learning
• Industry case studies and datasets
• Interactive doubt-solving sessions
• Continuous performance assessment

Students gain extensive practical exposure through live projects and capstone assignments.

Why This Course

This master program provides a complete ecosystem of learning by combining programming, analytics tools, machine learning, and AI technologies into a structured curriculum. The strong focus on practical training, portfolio development, and career preparation ensures students are well-equipped for real-world data science roles.

Benefits and Outcomes

By completing this program, students will:

• Gain comprehensive expertise in data science tools and techniques
• Develop strong analytical and problem-solving skills
• Build real-world projects and professional portfolios
• Learn machine learning and AI application development
• Understand business analytics and data visualization tools
• Improve job readiness through resume and interview preparation
• Explore career opportunities in data science, analytics, and AI

This master program provides a complete career pathway for learners aiming to become skilled data science and AI professionals.