Master program in Data Analytics Training by Santosh Kumar Das

The Master Program in Data Analytics is a comprehensive, practical-oriented course designed to help learners develop strong skills in data analysis, visualization, and business intelligence tools. This program covers the complete data analytics workflow—from data collection and processing to generating insights and creating professional dashboards used in real-world business environments.

In today’s digital world, organizations rely heavily on data analysts to transform raw data into meaningful insights that support decision-making. This course is ideal for students, graduates, working professionals, and beginners who want to build a career in data analytics, business intelligence, and data-driven decision-making roles.

The curriculum emphasizes hands-on training, real-time projects, and industry-relevant tools to ensure learners gain both theoretical understanding and practical experience.

Master Program in Data Analytics

Module 1: Basic Python Programming

• Introduction to Python

• Variables, Data Types & Operators

• Conditional Statements & Loops

• Functions & Modules

• Lists, Tuples, Dictionaries

• File Handling

• Introduction to NumPy & Pandas

• Basic Data Visualization (Matplotlib)

• Mini Project

Module 2: MySQL (Database Management)

• Introduction to Databases

• SQL Fundamentals (SELECT, WHERE, ORDER BY)

• CRUD Operations

• Joins (Inner, Left, Right)

• Aggregate Functions

• Subqueries

• Views & Indexing

• Connecting MySQL with Python

• Real-time Database Project

Module 3: Advanced Excel & VBA

• Advanced Formulas (VLOOKUP, HLOOKUP, INDEX-MATCH, IF)

• Pivot Tables & Pivot Charts

• Data Cleaning Techniques

• Conditional Formatting

• Dashboard Creation

• Introduction to Macros

• VBA Programming Basics

• Automating Reports using VBA

• Business Analytics Case Study

Module 4: Power BI

• Data Import & Transformation

• Power Query

• Data Modeling

• DAX Functions

• Interactive Dashboard Design

• Publishing Reports

• Real-time Business Dashboard Project

Module 5: Tableau

• Tableau Interface & Data Connection

• Charts & Graph Types

• Filters & Calculated Fields

• Parameters

• Dashboard & Storytelling

• Real-time Industry Project

Module 6: Zoho Analytics

• Introduction to Zoho Analytics

• Data Import & Integration

• Report Creation

• Dashboard Building

• Formula Columns

• Sharing & Collaboration

• Business Reporting Project

Capstone Project

• End-to-End Data Analytics Project

• Data Cleaning → Analysis → Visualization

• Business Insights Presentation

• Final Evaluation & Certification

Additional Benefits

• 100% Practical Training

• Live Projects

• Resume Building

• Interview Preparation

• Placement Assistance

Teaching Method

This course is available in both online and offline modes, allowing flexible learning options. The teaching approach includes:

• Step-by-step practical demonstrations
• Hands-on tool-based training
• Real-time business case studies
• Interactive doubt-solving sessions
• Live project-based learning
• Continuous progress evaluation

Students gain extensive practical exposure through assignments, projects, and dashboard development activities.

Why This Course

This master program focuses on industry-relevant analytics tools and real-world business applications. The structured curriculum ensures that students develop strong technical skills along with the ability to interpret data and communicate insights effectively. The inclusion of multiple visualization platforms provides a well-rounded learning experience.

Benefits and Outcomes

By completing this program, students will:

• Develop strong data analysis and visualization skills
• Gain hands-on experience with industry tools
• Learn to create professional dashboards and reports
• Build real-world analytics projects for portfolios
• Improve problem-solving and business insight skills
• Prepare for career opportunities in data analytics and BI roles

This program provides a complete pathway for learners aiming to become skilled data analysts and business intelligence professionals.