IN
- Explore Courses New ▶
- Success Stories
- Contact Us
- About Us
- Blog
- Enroll Now
PG Data Analytics Program
Unlock your career potential with our PG Data Analytics Program—designed to equip you with real-world analytical skills and the most in-demand tools. Learn from industry experts and gain hands-on experience in data analysis, visualization, and data-driven decision-making.
Program Duration
8 Months
Learning Format
Online Live
Placement Assistance
100% Guaranteed
Trusted By Leading Companies
No Content
Join the Most In-Demand PG Data Analytics Program
Master the practical application of Data Analytics and AI to convert raw data into powerful insights that fuel strategic business decisions. This 100% Job Guarantee program is crafted for fresh graduates and working professionals aiming to build a high-growth career in analytics.
Gain real-world experience with tools like SQL, Python, Power BI, and Excel, and work on industry-grade projects across sectors like finance, retail, and healthcare.
Prepare for top roles like Data Analyst, Reporting Analyst, BI Analyst, and more—with end-to-end placement support and career mentorship.
Industry-Relevant Curriculum
Comprehensive curriculum covering Python, Machine Learning, Deep Learning, NLP, and Big Data technologies.
Job Guarantee
Get placed in a data analytics role within 6 months of graduation or receive a full refund of your program fee.
Live Online Classes
Learn from top industry experts through interactive live sessions with real-time doubt resolution.
1:1 Mentorship
Personalized guidance from industry mentors to help you navigate your learning journey effectively.
Career Support
Resume building, interview preparation, and exclusive access to job opportunities with top companies.
Capstone Projects
Work on real-world projects to build a strong portfolio that showcases your data science expertise.
Comprehensive Course Curriculum
Our industry-aligned curriculum is designed by experts to help you master the most in-demand Data Analytics skills and prepare you for a successful career.
Data Foundations & Business Tools
This foundational module sets the tone for your entire data analytics journey. The goal is to ensure that every learner becomes confident in working with raw data—structuring it, cleaning it, transforming it, and deriving meaningful insights. You’ll begin with spreadsheet tools like Excel and Google Sheets, progress into structured querying with SQL, and learn to work with relational databases. From there, you’ll explore modern data visualization tools like Tableau and Power BI, which are critical for communicating data-driven findings.
What you'll learn:
- Clean, format, and structure raw business data
- Write SQL queries for relational databases
- Build dashboards using Power BI/Tableau
Course Content
Excel
Introduction to Excel, formulas, pivot tables, charts, statistical functions, dashboards, What-if analysis, Google Sheets for collaboration
SQL
Basics of databases, CRUD operations, joins, aggregations, filtering, subqueries, window functions, CTEs
Databases
Understanding relational databases (MySQL/PostgreSQL), indexing, normalization
Power BI/Tableau
Connecting data, calculated fields, dashboards, KPIs, LOD expressions, visual storytelling
Data Wrangling Basics
Handling missing values, data reshaping, column transformations, type conversions
Python for Data Analytics
This module equips you with hands-on programming skills using Python—the most in-demand language in data analytics. You’ll start with basic programming concepts and gradually advance to working with essential libraries used for manipulating and analyzing data. You’ll also get introduced to best practices like using Jupyter Notebooks for analysis and Git/GitHub for version control and collaboration.
What you'll learn:
- Use Python to manipulate real datasets
- Analyze data using Pandas and NumPy
- Create charts with Matplotlib and Seaborn
Course Content
Python Basics
Variables, data types, conditionals, loops, functions
NumPy & Pandas
Arrays, Series, DataFrames, data cleaning, indexing, aggregation
Matplotlib & Seaborn
Visualizations like bar charts, histograms, pairplots, heatmaps
Jupyter Notebooks
Writing and organizing analysis scripts in an interactive format
Git & GitHub
Basics of version control, pushing code, pull requests, and repositories
Statistics & Business Problem Solving
In this module, you’ll develop statistical thinking—learning how to use data to make business decisions. From summarizing and interpreting datasets to applying hypothesis tests and probability models, this module focuses on turning raw data into insights that drive real-world strategy and decision-making.
What you'll learn:
- Apply descriptive and inferential statistics
- Perform hypothesis testing and A/B experiments
- Solve business problems using probability models
Course Content
Descriptive & Inferential Statistics
Mean, median, mode, variance, distributions, sampling
Probability & Distributions
Normal, binomial, Poisson distributions, and simulations
Hypothesis Testing
t-test, z-test, p-values, confidence intervals, chi-square test
A/B Testing
Designing experiments and evaluating outcomes with statistical rigor
Business Case Studies
Using statistical tools in marketing, operations, and product decision-making
Data Visualization & Storytelling
In this module, you’ll learn to communicate analytical insights using data visualization tools and storytelling frameworks. You’ll build dynamic dashboards, present KPIs, and structure insights in a way that non-technical stakeholders can easily understand.
What you'll learn:
- Design KPI dashboards with BI tools
- Present insights with visual storytelling techniques
- Create executive-ready reports and narratives
Course Content
Data Cleaning & Preparation
Fixing missing data, formatting issues, creating report-ready datasets
Power BI/Tableau Dashboards
Visualizing sales, marketing, and operational data using KPIs and calculated fields
Visual Storytelling Techniques
Applying storytelling logic to data to influence business decisions
Executive Reporting Formats
Crafting decks and dashboards used by real analysts in consulting and finance
Industry Case Studies
Presenting insights from real data in healthcare, retail, BFSI, and e-commerce
Advanced Excel + SQL Projects
Build robust business solutions using Excel and SQL together. This module focuses on real-time analytics applications using industry datasets across sales, operations, and customer data.
What you'll learn:
- Build MIS dashboards using Excel tools
- Write complex SQL queries and views
- Solve domain-specific case studies with data
Course Content
Advanced Excel
IF statements, nested formulas, INDEX/MATCH, data validation, conditional formatting
Excel Dashboarding & Automation
Slicers, charts, pivot tables, macros
Complex SQL Queries
Window functions, CASE statements, subqueries, unions, views
Cross-table Joins & Data Modeling
Combining datasets across domains using advanced joins
Domain-Specific Projects
Solve business problems in Retail (sales tracking), BFSI (loan approvals), and E-commerce (order analysis)
Capstone Projects & Career Readiness
Apply everything you’ve learned through two major capstone projects and intensive job preparation. This module is designed to polish your profile, build your portfolio, and help you face real interviews with confidence.
What you'll learn:
- Apply full data analysis workflow end-to-end
- Build and present a portfolio project
- Prepare for interviews with resume reviews
Course Content
Capstone Project 1: Exploratory Data Analysis (EDA)
Analyze a dataset from scratch using Python and SQL
Capstone Project 2: Dashboard & Report
Create a BI dashboard + presentation for a business scenario
Resume & LinkedIn Optimization
Craft job-ready profiles tailored for data roles
Mock Interviews
Practice technical and HR interview rounds with real questions
Portfolio & Final Review
Curate a portfolio for Data Analyst or Business Analyst roles and prepare for hiring partner interactions
📊 Your Data Analytics Career Journey
Getting Started
Orientation, Tools Setup, Skill Assessment
Excel + SQL Basics
Spreadsheets, Joins, Aggregations, Dashboards
Python for Analytics
Data Manipulation with Pandas, NumPy
Statistics & EDA
Distributions, Hypothesis Testing, A/B Tests
BI Tools
Power BI/Tableau Dashboards & Storytelling
Mini Projects
Apply SQL, Excel, Python on Business Data
Capstone Project
EDA + Dashboard on Real-World Dataset
Career Prep
Mock Interviews, Resume, LinkedIn Reviews
Job Support
Get Referred to Hiring Partners
📊 Your Data Analytics Learning Journey
📘 Foundations of Data Analytics
Explore Excel, Google Sheets, and data basics to build a strong analytical foundation.
🧠 SQL & Data Extraction
Learn to retrieve, filter, and join data using real-world SQL queries on databases.
🐍 Python for Data Analysis
Manipulate, analyze, and clean datasets using Python libraries like Pandas and NumPy.
📉 Applied Statistics
Master descriptive stats, hypothesis testing, and business decision models using data.
📊 Data Visualization & Storytelling
Create interactive dashboards with Power BI or Tableau and tell compelling data stories.
🛠 Mini Projects & Domain Cases
Work on analytics problems in finance, e-commerce, and operations with real datasets.
🎯 Capstone Project
Complete a full-cycle analytics project from data wrangling to visualization & reporting.
🚀 Career Readiness
Get placement support with resume polishing, mock interviews, and profile reviews.
👩🏫 Meet Your Data Science and cyber security Mentors
What role does a Business Analyst play?
Business Analyst
Bridge the gap between business goals and data-driven decisions.
Data Analyst
Interpret and visualize data to extract actionable business insights.
Market Research Analyst
Analyze market trends, consumer behavior, and competitors.
Financial Analyst
Use data to forecast financial outcomes and optimize strategies.
Data Consultant
Advise businesses on leveraging data for process improvements.
Operations Analyst
Use performance data to streamline and improve operations.
Product Analyst
Evaluate product performance and user behavior through data.
Customer Insights Analyst
Analyze customer feedback and behavior for strategic decisions.
Business Intelligence Analyst
Create dashboards and reports to support executive decisions.
Master 25+ Essential Skills to Become a Job-Ready Business Analyst
Work Hands-On With the Most Powerful Tools in Data Science
Python
NumPy
Pandas
Jupyter
TensorFlow
Scikit-Learn
SQL
Matplotlib
Seaborn
Tableau
R
Linux
Apply Skills in Real-World Industry Projects
Customer Segmentation for Personalized Banking
Use K-means clustering to segment customers based on demographics and transaction history. Present insights via dashboards for targeted campaign planning.
Tools Used: SQL, Python (Pandas, Scikit-learn), Tableau Skills: Clustering, EDA, Dashboarding Sector: BFSI SectorChurn Prediction for Telecom Users
Build a predictive model to identify telecom customers likely to churn using historical usage and complaint data. Recommend data-driven retention strategies.
Tools Used: Python (Pandas, Scikit-learn), Excel Skills: Logistic Regression, Feature Engineering, Model Evaluation Sector: TelecomSales Performance Dashboard for FMCG Brand
Analyze multi-region sales data and create an interactive dashboard to identify top-performing products, regions, and sales reps.
Tools Used: Excel, Power BI Skills: Dashboarding, KPI Design, Trend Analysis Sector: FMCGLoan Default Risk Scoring
Use historical loan application data to predict likelihood of default and assign risk scores to new applicants for smarter lending decisions.
Tools Used: Python (Scikit-learn, Pandas), SQL Skills: Classification, Data Cleaning, ROC/AUC Evaluation Sector: Banking & FinanceInventory Optimization for Online Retailer
Analyze SKU-level sales and returns to optimize inventory levels and reduce holding costs across categories. Build a reorder suggestion model.
Tools Used: Excel, Python, Tableau Skills: ABC Analysis, Time Series Trends, BI Reporting Sector: E-commerce/RetailHospital Readmission Risk Analysis
Analyze patient history and diagnosis codes to identify factors influencing hospital readmissions within 30 days.
Tools Used: Python (Pandas, Matplotlib), SQL Skills: EDA, Data Wrangling, Correlation Analysis Sector: HealthcareMarketing Campaign ROI Tracker
Evaluate multi-channel marketing campaign performance and determine the ROI per channel. Provide recommendations for future budget allocation.
Tools Used: Excel, Google Sheets, Power BI Skills: Campaign Analytics, ROI Calculation, Visualization Sector: Marketing & AdvertisingEmployee Attrition Prediction
Develop a machine learning model to predict employee attrition based on HR data such as tenure, job satisfaction, and appraisals.
Tools Used: Python (Scikit-learn), Seaborn, Excel Skills: Predictive Modeling, Data Balancing, HR Analytics Sector: Human Resources / IT ServicesOur Hiring Partners
Career Services to Get You Hired
Dedicated career support to transform your skills into a successful data science career.
🎓 Earn Your Industry-Endorsed PG Certification
Hear from Our Alumni
Real stories of career transformations with our Business Analytics program.
- Course details
- Support
- Placement Assistance
- Payment Options
FAQs: PG Data Analytics Job Guarantee Program
Q. Who can join this program?
Any graduate, fresher, or working professional with interest in analytics, business intelligence, or data-driven roles can enroll.
Q. What is the duration of the program?
Q. Do I need a coding background?
Q. What tools are taught in this program?
Ready to Transform Your Career?
Join thousands of successful professionals who have advanced their careers
with BookMyLearning
