Santosh Kumar Das
Bangalore/Online
Skills
About
Corporate Trainer – Data Science, Data Analytics & Business IntelligenceProcurement Analytics & Digital Transformation LeaderI am a seasoned Corporate Trainer and Digital T...
Santosh Kumar Das
Bangalore/Online
Skills :
Corporate Trainer – Data Science, Data Analytics & Business IntelligenceProcurement Analytics & Digital Transformation LeaderI am a seasoned Corporate Trainer and Digital T...
Courses by: Santosh Kumar Das
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.
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.
Master program in Business Intelligence Training by Santosh Kumar Das
The Master Program in Business Intelligence is a comprehensive, career-oriented course designed for students, working professionals, and aspiring data analysts who want to develop strong expertise in data-driven decision-making. This program covers the complete Business Intelligence (BI) lifecycle — from understanding data fundamentals and performing analysis to creating professional dashboards and generating actionable business insights.
This course combines theoretical knowledge with hands-on practical training using industry-relevant tools such as Power BI, Tableau, Python, R, Excel, and Zoho Analytics. Whether you aim to build a career in data analytics, enhance your business reporting skills, or transition into BI roles, this program provides a structured learning pathway with real-world applications.
What Student Will Learn
Module 1: Business Intelligence Fundamentals
Introduction to Business Intelligence
BI vs Data Analytics
Data Warehousing Concepts
ETL Basics
KPI & Business Metrics
Real-world BI Use Cases
Module 2: Power BI
Data Import & Transformation (Power Query)
Data Modeling
DAX Functions
KPI Dashboards
Interactive Reports
Publishing & Sharing Reports
Industry Project
Module 3: Tableau
Tableau Interface
Connecting to Data Sources
Data Blending
Charts & Advanced Visualizations
Calculated Fields
Dashboard & Storytelling
Real-time Business Dashboard Project
Module 4: R & Python for BI
Python
Python Basics
Pandas for Data Analysis
Data Cleaning Techniques
Data Visualization (Matplotlib, Seaborn)
R Programming
R Basics
Data Manipulation (dplyr)
Data Visualization (ggplot2)
Statistical Reporting
Module 5: Excel Charts & Reporting
Advanced Excel Formulas
Pivot Tables
Advanced Charts & Visualizations
Interactive Dashboards
Business Reporting Techniques
Module 6: Zoho Analytics
Data Import & Integration
Creating Reports
Dashboard Building
Formula Columns
Sharing & Collaboration
BI Automation Project
Capstone Project
End-to-End Business Intelligence Project
Data Cleaning → Modeling → Dashboard Creation
Business Insights Presentation
Final Evaluation
Teaching Method
The program is offered in both online and offline modes, allowing flexible learning options. Training includes:
• Instructor-led live sessions
• Hands-on tool-based practice
• Real-world case studies
• Guided projects and assignments
• Interactive doubt-clearing sessions
• Industry-oriented capstone project
The learning approach focuses on practical exposure, ensuring students gain confidence in applying BI tools in real business scenarios.
Why Learn from This Tutor
The program is structured to provide a step-by-step learning journey from fundamentals to advanced BI tools. The teaching approach emphasizes conceptual clarity, practical application, and project-based learning to help students build job-ready skills in Business Intelligence and data analytics.
Benefits and Outcomes
By completing this master program, students will:
• Develop strong Business Intelligence fundamentals
• Gain hands-on experience with leading BI tools
• Learn data analysis and visualization techniques
• Build professional dashboards and reports
• Understand real-world data workflows
• Improve analytical and decision-making skills
• Become industry-ready for BI and data analyst roles
This course provides a complete foundation for anyone aiming to enter the fast-growing field of Business Intelligence and data analytics.
Master program in Digital Marketing Training by Santosh Kumar Das
The Master Program in Digital Marketing is a comprehensive, industry-oriented training course designed to help students, entrepreneurs, job seekers, and working professionals build strong expertise in modern digital marketing strategies. This program focuses on practical learning and real-world implementation, covering the complete digital marketing ecosystem — from planning strategies and optimizing search visibility to running paid campaigns and analyzing performance.
Through structured modules, hands-on projects, and live campaign practice, students will gain the skills needed to promote businesses online, attract target audiences, and measure marketing success using data-driven techniques. The course is ideal for individuals who want to start a career in digital marketing, grow their business online, or upgrade their marketing skills with industry tools and techniques.
What Students Will Learn
(Industry-Oriented & Practical Training Program)
Module 1: Digital Marketing Fundamentals
Introduction to Digital Marketing
Traditional vs Digital Marketing
Marketing Funnel & Customer Journey
Understanding Target Audience
Digital Marketing Strategy Planning
Module 2: Search Engine Optimization (SEO)
Introduction to SEO
Keyword Research
On-Page SEO Techniques
Off-Page SEO & Link Building
Technical SEO Basics
Local SEO
SEO Tools (Search Console, Keyword Tools)
SEO Project
Module 3: Search Engine Marketing (SEM)
Introduction to Paid Advertising
Google Ads Setup
Campaign Structure
Keyword Bidding Strategies
Ad Copy Creation
Conversion Tracking
Performance Optimization
Live Campaign Project
Module 4: Social Media Marketing (SMM)
Facebook & Instagram Marketing
LinkedIn Marketing
YouTube Marketing
Social Media Strategy
Content Planning
Influencer Marketing
Analytics & Performance Tracking
Social Media Campaign Project
Module 5: Pay Per Click (PPC)
PPC Fundamentals
Campaign Types
Budget Planning
Audience Targeting
Retargeting Strategies
A/B Testing
ROI Optimization
Module 6: Email Marketing
Email Marketing Basics
List Building Strategies
Email Campaign Creation
Automation & Drip Campaigns
Email Analytics
Email Marketing Tools
Module 7: Google Business Manager
Account Setup
Business Verification
Managing Business Profiles
Ad Account Management
Business Reporting
Module 8: Google Analytics
Google Analytics Setup
Tracking & Events
Audience Reports
Traffic Analysis
Conversion Tracking
Campaign Performance Analysis
Capstone Project
End-to-End Digital Marketing Strategy
SEO + Paid Ads + Social Media Campaign
Analytics Reporting
ROI & Performance Presentation
Additional Benefits
100% Practical Training
Live Projects
Industry Certification
Resume Building
Interview Preparation
Placement Assistance