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Postgraduate Program in Data Analytics

From fundamentals to visual storytelling — build the skills the industry demands, and turn raw data into decisions that matter.

Live + LMS delivery80+ hours3 days a week or weekendsCapstone readyBeginner friendly
500+Hiring companies
22%Average salary hike
38.5 LPAHighest salary
1:1Career coaching

Outcomes

What you will learn

A job-focused curriculum designed to make you productive with the exact tools analytics teams use every day.

Write clean, efficient Python for real analysis tasks — from data structures to OOP
Master Excel end to end: formulas, pivot tables, Power Query and interactive dashboards
Query, join and transform data confidently with SQL — from SELECT to window functions
Build compelling Power BI dashboards with data modelling, DAX and row-level security
Deliver a complete capstone: collection, cleaning, EDA, insights and a business-ready dashboard
Present data as a story — framing insights so they influence real decisions

Career Outcomes

Roles this program prepares you for

Build a profile that maps to the roles hiring teams are actively recruiting for.

Data AnalystBusiness Intelligence AnalystReporting AnalystData Visualization SpecialistSenior Data AnalystData Product AnalystMarketing and Insights AnalystAnalytics ConsultantData Analytics ManagerHead of Business IntelligenceOperations and Data Strategy AnalystDirector of Data Analytics

Curriculum

8 modules, from fundamentals to mastery

Every module blends live teaching, practice and feedback — open each one to see exactly what you will cover.

01

Master the Basics of Programming

A hands-on introduction to programming: essential concepts, key data structures like lists and dictionaries, and your first steps into Object-Oriented Programming.

  • Gain hands-on coding skills in Python
  • Write clean, efficient code using real-world examples and best practices
  • Understand data structures and OOP fundamentals

Basics

Syntax and StructureVariables and Data TypesConditional LogicLoops and IterationsFunctions and ReuseLists and Dictionaries

Advanced

Object-Oriented ProgrammingError HandlingLambda and MapModules and PackagesList ComprehensionAPI Integration
02

Excel for Analytics

Organise, format and analyse data efficiently using key Excel features — gain real confidence with spreadsheets, formulas, functions and charts.

  • Master Excel essentials for data entry, formatting and analysis
  • Use formulas and functions to automate calculations
  • Create clean, professional spreadsheets and visual reports

Basics

Excel Interface and ShortcutsCommon Formulas and FunctionsData Entry and FormattingCharts and GraphsSorting and FilteringPivot Table Essentials

Advanced

VLOOKUP, XLOOKUP and INDEX-MATCHAdvanced Pivot Table DesignConditional Formatting RulesData Validation and Clean-UpPower Query for ETLInteractive Dashboard Creation
03

SQL for Data Analysis

The language of databases. Learn to retrieve, filter and manipulate data using simple yet powerful SQL queries.

  • Understand relational databases and how SQL interacts with them
  • Write SQL queries to retrieve, filter and sort data

Basics

Writing SELECT StatementsFiltering with WHERESorting and Aliasing DataGROUP BY and AggregatesJOINS Across TablesLogical Conditions

Advanced

Sub-queries and Nested SELECTsWindow Functions and RankingCommon Table ExpressionsViews and IndexingConstraints and KeysStored Procedures and Functions
04

Python for Data Analysis

Develop practical programming skills for analysis: write, structure and debug code, work with core data structures, and apply OOP to real data problems.

  • Develop practical, job-ready programming skills
  • Write clean, efficient and functional Python code
  • Understand core programming logic, data structures and OOP fundamentals

Basics

Core Python SyntaxData Types and VariablesConditional Logic and LoopsFunctions and ParametersLists and DictionariesFile I/O Operations

Advanced

NumPy Arrays and MathDataFrames with PandasList Comprehension and LambdaException HandlingObject-Oriented ProgrammingModules, Packages and Scripts
05

Data Visualization with Power BI

Transform raw data into meaningful visual insight — connect to data sources, build interactive dashboards and craft visualizations that tell a story.

  • Connect, clean and visualize data using Power BI
  • Build interactive dashboards and reports for business insight
  • Apply visualization best practices and data storytelling

Basics

Power BI OverviewData Source ConnectionPower Query BasicsChart and Table VisualsFilters and SlicersReport Publishing

Advanced

Data Modeling TechniquesDAX Functions and MeasuresTime Intelligence DAXDrillthrough and TooltipsRow-Level SecurityPower BI Service Features
06

Capstone Project

Bring everything together: choose a real-world business problem, apply Excel, SQL, Python and Power BI, and deliver a complete data solution from collection to visualization.

  • Apply end-to-end data skills to a real-world scenario
  • Build a complete solution using Excel, SQL, Python and Power BI
  • Present a business-ready dashboard and insights report

Capstone Journey

Real-World ScenarioData Collection and CleaningEDA and ModelingInsight GenerationDashboard or DeploymentFaculty Evaluation
07

Art of Storytelling

Transform data into compelling stories that influence decisions — craft narratives with clarity, structure and visual impact.

  • Present data-driven insights with confidence
  • Craft impactful narratives from analysis
  • Influence decisions through visuals and story flow

Storytelling Skills

Audience UnderstandingInsight FramingVisual EncodingNarrative FlowData-to-DecisionPresentation Impact
08

Career Support

Transition from learning to earning: craft a standout resume, build a professional portfolio and prepare for interviews in data-centric roles.

  • Build a compelling, industry-aligned resume and LinkedIn profile
  • Practice interview scenarios with mock sessions and feedback
  • Articulate your data skills and project work confidently

Career Toolkit

Resume EnhancementLinkedIn OptimizationMock InterviewsJob Opportunity AccessPortfolio ReviewInterview Readiness

Portfolio

Hands-on projects you will build

Real datasets, real business questions — every project becomes part of your professional portfolio.

Customer Retention and Churn Analysis

Analyze churn behaviour, identify high-risk segments and build retention heatmaps using transactional data.

Retail Sales Performance Dashboard

Visualize sales, profit and discount trends across categories, regions and time with interactive filters.

Healthcare Appointment No-Show Analysis

Identify trends behind missed appointments and analyze demographic and time-based behaviours.

Student Engagement and Performance Tracker

Monitor academic scores, attendance and engagement in real-time dashboards for schools and EdTech platforms.

HR Attrition and Workforce Insights

Explore turnover trends by department, demographics and satisfaction metrics through HR dashboards.

E-commerce Sales and Review Insights

Blend product sales with user reviews to derive sentiment-based performance scoring.

Energy Consumption and Peak Load Dashboard

Forecast energy usage patterns and peak loads with smart-meter data across regions and seasons.

Banking Transactions and Customer Segmentation

Use RFM models to categorise customers and optimise offers on real banking data.

Career Services

Support that goes beyond the classroom

A dedicated career advisor works with you from first class to final interview.

1:1 Career Mentoring

Personalised guidance on your goals, gaps and the fastest path to your target role.

Resume and Profile Building

A resume that works, plus LinkedIn and GitHub profiles that reflect your skills credibly.

Mock Interviews

Practice real interview scenarios with expert feedback until you walk in confident.

Job Opportunity Access

Curated openings aligned to your skill set, with guidance on positioning your profile.

Eligibility

Who is this program for?

Fresh Graduates and Postgraduates

Individuals with at least 50% marks in graduation, seeking a strong launchpad into the data industry.

Working Professionals (0–8 Years)

Early- to mid-career professionals looking for a career transition, skill upgrade or salary growth in data-driven roles.

Evaluation

How you are evaluated

Assessment is continuous and practical — you always know where you stand and what to improve next.

01

Module Quizzes

Every module ends with a 10-question quiz. Score 70% to pass, with unlimited retakes and explanations for every answer.

02

Hands-on Assignments

Practical labs after each module, reviewed with mentor feedback so skills stick beyond theory.

03

Capstone Evaluation

Your capstone is evaluated by faculty on approach, execution and a stakeholder-style final presentation.

04

Final Assessment

A comprehensive overall quiz spanning all modules — 50 questions, 70% to pass — confirms you are certification-ready.

Certificate criteria: complete all modules and assignments, pass every module quiz, clear the final assessment, and present your capstone project.

Try It

Sample quiz — test your instincts

A taste of the module quizzes inside the program. Click an answer to check yourself — instant feedback, no signup needed.

Q1. Which Excel feature is purpose-built for importing and transforming data (ETL)?

Pivot Tables
Power Query
VLOOKUP
Conditional Formatting

Power Query is the ETL engine inside Excel — it connects, cleans and reshapes data before analysis begins.

Q2. In SQL, which clause groups rows so aggregates can be calculated?

ORDER BY
WHERE
GROUP BY
LIMIT

GROUP BY collapses rows sharing a value so functions like SUM and COUNT can summarise each group.

Q3. Which Python library provides the DataFrame structure?

NumPy
Matplotlib
Pandas
Seaborn

Pandas DataFrames are the workhorse of tabular analysis in Python — filtering, joining and aggregating data.

Q4. In Power BI, DAX is used to…

Import raw data
Write calculated measures and columns
Design page layouts
Schedule refreshes

DAX is the formula language behind measures like running totals, time intelligence and ratios.

Q5. A churn analysis primarily helps a business…

Forecast office rent
Identify customers likely to leave
Rank employee performance
Compress its data

Churn analysis finds at-risk customer segments so retention teams can act before they leave.

🎓

Certification

Postgraduate Certificate in Data Analytics

An industry-recognised credential from Skill Expresso Edu Solutions that enhances your professional profile and accelerates your career growth.

Admissions

A simple, guided admission process

Submit Application

Complete the online application form with your basic details and background.

Profile Review

Our admissions team evaluates your academic and professional suitability.

Counselling Call

A one-on-one discussion to clarify goals, learning path and expectations.

Confirmation

Receive your confirmation of selection and payment instructions.

Enrolment

Complete payment, receive LMS access and begin your learning journey.

Ready to move your career forward?

Talk to a counsellor, get your questions answered, and find out if this program is the right fit — no pressure, no obligation.

Apply Now ↗Book Free Counselling
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