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Program Rating
Program Duration
Post-Program Job Support
Learn Data Analytics With Live Classes, Real Projects and Career Support
65%
Average Salary Hike
15000+
Career Transitions
300+
Hiring Partners
65%
Average Salary Hike
15000+
Career Transitions
300+
Hiring Partners
What You Get in This Program
Live classes with industry practitioners
Job support for 6 months after the course
Mock technical and HR interviews
A clear, step-by-step learning path
Capstone projects in SQL, Excel, Tableau and Python
100+ practice assignments
AI tools for analysts included
LMS access any time
Dedicated program manager
Skills employers actually ask for
1:1 mentorship
Fingertips certificate of completion
Skills You'll Learn
Statistics
SQL
Advanced Excel
Data Visualization
Business Intelligence
Python
Machine Learning
Web Scraping
AI for Analytics
About the Data Analytics Masters Program
The Data Analytics Masters Program is a six-month, live course that takes you from statistics and Excel to SQL, Power BI, Tableau and Python. After that you'll learn the basics of machine learning, collect your own data with web scraping, and use AI tools to speed up analysis and reporting. It's taught by trainers with industry experience, and it's built for people who want to work with data for a living.
You'll be able to clean and analyse data in Excel, SQL and Python, build interactive dashboards in Power BI and Tableau, run basic predictive models, and explain your findings clearly to managers. You'll also leave with a portfolio of projects to show employers.
Advanced Excel, MySQL, Tableau, Power BI (with Power Query and DAX), Python with Pandas, machine learning tools, BeautifulSoup, Selenium, Playwright, Postman, ChatGPT, Google Gemini and an introduction to LangChain.
Each part of the course ends with a project. These include a sales analysis in SQL, customer segmentation, sales, marketing and financial dashboards in Tableau and Excel, an e-commerce data scraper, a job market analytics project, and an AI-assisted data analysis project.
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1
Curriculum
Statistics & Data Science Foundation
- Module 1: Data Science & Analytics Foundation
- Module 2: Data Understanding & Exploration
- Module 3: Descriptive Statistics
- Module 4: Probability Fundamentals
- Module 5: Probability Distributions
- Module 6: Inferential Statistics
- Module 7: Hypothesis Testing
- Module 8: Correlation & Regression Analysis
- Module 9: Data Visualization Fundamentals
Database Management with SQL
- Module 1: Database & SQL Foundation
- Module 2: Data Definition & Table Operations
- Module 3: SQL Querying Basics
- Module 4: Aggregate Functions & Grouping
- Module 5: SQL Joins & Relationships
- Module 6: Subqueries & Nested Queries
- Module 7: Advanced SQL Functions
- Module 8: Views, Indexes & Stored Procedures
- Module 9: SQL Projects & Business Applications
Data Visualization with Tableau
- Module 1: Tableau Foundation & Interface
- Module 2: Data Connection & Preparation
- Module 3: Basic Visualizations
- Module 4: Advanced Visualizations
- Module 5: Filters & Interactivity
- Module 6: LOD Expressions & Calculations
- Module 7: Dashboard Designing
- Module 8: Story Points & Presentation
- Module 9: Performance Optimization
- Module 10: Tableau Projects & Capstone
Business Analytics with Power BI
- Module 1: Power BI Foundation & Architecture
- Module 2: Data Connection & Loading
- Module 3: Power Query (Data Transformation)
- Module 4: Data Modeling
- Module 5: DAX (Data Analysis Expressions)
- Module 6: Data Visualization in Power BI
- Module 7: Filters & Interactivity
- Module 8: Advanced Power BI Features
Python Programming Foundation
- Module 1: Python Foundation & Setup
- Module 2: Data Types & Variables
- Module 3: Operators & Expressions
- Module 4: Control Statements
- Module 5: Data Structures in Python
- Module 6: Functions & Lambda Expressions
- Python for Data Analysis (Basics)
Machine Learning & Predictive Analytics
- Module 1: Machine Learning Fundamentals
- Module 2: Linear Regression
- Module 3: Logistic Regression
- Module 4: K-Nearest Neighbors (KNN)
- Module 5: Decision Tree
- Module 6: Support Vector Machine (SVM)
- Module 7: Random Forest
- Module 8: Naive Bayes
- Module 9: K-Means Clustering
Advanced Excel for Data Analytics
- Module 1: Excel Foundation & Interface
- Module 2: Formulas & Functions
- Module 3: Advanced Functions & Lookups
- Module 4: Data Cleaning & Preparation
- Module 5: Pivot Tables & Data Analysis
- Module 6: Data Visualization in Excel
- Module 7: Excel Dashboarding
- Module 8: Excel Projects & Capstone
Web Scraping & Data Automation
- Module 1: Web & Data Extraction Foundations
- Module 2: Data Extraction using Python
- Module 3: HTML Parsing & Data Extraction
- Module 4: Dynamic Web Scraping & Automation
- Module 5: Data Cleaning & Storage Pipelines
- Module 6: Advanced Scraping Techniques
- Module 7: Automation & Scheduling
- Module 8: Business Use Cases
- Module 9: End-to-End Data Pipeline
- Module 10: Industry Projects & Portfolio
Agentic AI for Data Analytics
- Module 1: AI for Data Analysts
- Module 2: Prompt Engineering for Analytics
- Module 3: AI for Reporting & Communication
- Module 4: Introduction to AI Agents
- Module 5: Mini Project: AI Data Analyst
2
ME
M
T
PB
P
JN
P
C
GG
Tools Covered
Microsoft Excel
Data analysis
MMySQL
Database
Tableau
BI & visualization
Power BI
BI & visualization
PPython
Programming
JNJupyter Notebook
Programming
PPostman
APIs
ChatGPT
AI tools
GGGoogle Gemini
AI tools
3
Tools Specialization
Data Analysis & Databases
- Advanced Excel (XLOOKUP, INDEX-MATCH, Pivot Tables, Dashboards)
- MySQL (Joins, Subqueries, Window Functions, Stored Procedures)
- Statistics (Hypothesis Testing, Correlation, Regression)
Business Intelligence & Visualization
- Tableau (LOD Expressions, Dashboards, Story Points)
- Power BI (Power Query, DAX, Data Modeling)
- Power BI Service (Gateways, Scheduled Refresh, Row-Level Security)
Python, ML & AI Tools
- Python & Pandas (Data Cleaning, Analysis)
- Machine Learning (Regression, KNN, Decision Tree, SVM, Random Forest, K-Means)
- BeautifulSoup, Selenium, Playwright, Postman (Web Scraping)
- ChatGPT, Google Gemini, LangChain (AI for Analytics)
4
Building Your Career Foundation
Topics
- The 7 Cs of Effective Business Communication
- Communication English
- Grammar Mastery: Tenses, Adjectives, and Verbs
- Body Language & Modals
- Ace Your Business Presentations
- Effective Email Writing
- Telephonic Communication and Business Vocab
- Networking and Interpersonal Skills Development
Topics
- Resume Writing for Data Analyst Roles
- LinkedIn Profile Optimization
- Building a Project Portfolio on GitHub and Tableau Public
- Writing Clear Project Case Studies
- Personal Branding and Professional Networking
Topics
- HR Interview Preparation
- Mock Technical Interviews with Feedback
- Common Data Analyst Interview Questions
- Explaining Your Projects with Confidence
- Salary Discussion Basics
Topics
- SQL Interview Questions and Practice
- Excel and Power BI Practical Tests
- Business Case Studies and Problem Solving
- Statistics and Python Revision
- Take-home Assignment Practice
Ready to Start Your
Career in Data Analytics?
Projects You'll Build
Recruiters don't just want to hear what you learned. They want to see something you made. Every part of this course ends with a project on real datasets: a sales analysis and customer segmentation in SQL, sales, marketing and financial dashboards in Tableau and Excel, an e-commerce data scraper, a job market analytics project, and an AI-assisted data analysis. By the end, you'll have a portfolio that shows exactly what you can do.
Uber
Zomato
Amazon
Netflix
Walmart
Projects use public or sample datasets. Company names are shown for context only and don't imply a partnership.
Fingertips Certificate of Completion
When you complete the program and pass the final evaluation, you receive a certificate of completion from Fingertips Data Intelligence Solutions Pvt. Ltd. It shows employers you've worked through the full syllabus and its projects, not just watched videos.
Once you complete the course, you can:
Add your certificate to the Licenses & Certifications section of your LinkedIn profile, and share your capstone projects alongside it.
Help With the Job Hunt, Not Just the Course
Career support starts once you've completed 80% of the course and runs for six months after you finish.
Job Assistance
Interview Preparation
Profile Building
After 80% of the course completion
Why Learners Choose Fingertips
Learn by Doing
Classes are built around activities and exercises, not long lectures, so the skills employers look for actually stick.
Real-World Projects
Every section ends with a project on real datasets, the same kind of messy data you'll meet in your first job.
Doubt-Solving Sessions
Regular doubt-clearing sessions, with extra support for learners who haven't coded before.
Dedicated Program Manager
One person who tracks your progress, checks in if you start slipping, and helps you catch up when you miss a class.
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Learn by Doing
Classes are built around activities and exercises, not long lectures, so the skills employers look for actually stick.
Real-World Projects
Every section ends with a project on real datasets, the same kind of messy data you'll meet in your first job.
Doubt-Solving Sessions
Regular doubt-clearing sessions, with extra support for learners who haven't coded before.
Dedicated Program Manager
One person who tracks your progress, checks in if you start slipping, and helps you catch up when you miss a class.
View All
Hear It From Our Learners
Some of our learners came from commerce. Others studied physics or mechanical engineering. Here's what they said about the program.
Where Our Alumni Work
Frequently Asked Questions
Yes. The course starts with statistics, Excel and SQL, and only introduces Python once you're comfortable. Many of our learners had never written code before they joined.
Yes. Career support starts once you've completed 80% of the course and runs for six months after you finish. It includes resume and LinkedIn reviews, mock technical and HR interviews, access to our job portal, and referrals to companies in our hiring network.
No, and you should be wary of anyone who does. We prepare you well and help you get in front of employers. Your projects and how you perform in interviews do the rest.
Yes. The final section covers using ChatGPT and Google Gemini for analysis, prompt engineering for analysts, AI-assisted reporting, and a basic introduction to AI agents with LangChain.
A certificate of completion from Fingertips Data Intelligence Solutions Pvt. Ltd., awarded after you finish the program and pass the final evaluation.
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