Why learn Data Analytics
with EduMonk?
Answer practical business questions with spreadsheets, SQL, clean metrics and clear dashboards. Learn to move from a vague request to a concise recommendation.
The online syllabus follows a deliberate rhythm: learn the underlying concept, apply it in guided practice, confirm it with a checkpoint, and connect it to a project decision. By the end, you will have more than lesson completion—you will have evidence you can discuss.
Start learning for ₹1,650 today.
For the Data Analytics Certificate of Specialisation, pay ₹1,650 now and the remaining ₹1,500 next month. The two payments together cover the complete ₹3,150 programme fee.
Build the skills
behind your career.
Technical knowledge is only one part of becoming career-ready. Your Data Analytics enrolment also includes a focused professional-development journey at no additional cost.
FREE
EduMonk Career Edge
60-Day Soft Skills & Career Readiness Program
Spend approximately 20 minutes every day developing the communication, confidence, workplace and career-readiness skills that complement your technical education.
What you'll learn in Data Analytics.
Every outcome uses an observable action—something you can build, evaluate, explain or improve.
Where Data Analytics is used
Use the programme workflow to frame, build and evaluate sales and revenue reporting.
Use the programme workflow to frame, build and evaluate marketing performance.
Use the programme workflow to frame, build and evaluate operations monitoring.
Use the programme workflow to frame, build and evaluate product and customer analytics.
Data Analytics skills
you'll build.
The programme develops eight connected skills and gives each one a place in the syllabus, lab work or assessment.
Your 2-month Data Analytics
learning plan.
A sustainable sequence that gives you time to understand, practise and produce useful work.
Enter AI foundations
Complete Introduction to Data Analytics and Spreadsheet Analytics.
Build with data and ML
Complete Data Cleaning with Spreadsheets, Pivot Tables & Data Summaries and the Level 1 projects.
Apply modern AI
Work through Modules 5–8 and complete the applied AI projects.
Understand generative systems
Complete SQL Joins and Advanced SQL Concepts.
Build AI applications
Practise Statistics for Data Analysts and Exploratory Data Analysis.
Integrate, evaluate & demonstrate
Complete the remaining Level 3 modules and deliver the final specialisation capstone.
Data Analytics syllabus:
29 modules, 30 hours.
This is the complete planned syllabus for the Data Analytics Certificate of Specialisation. The 29 focused modules combine concept learning, hands-on practice and completion checks across the two-month journey.
Build practical capability in introduction to data analytics.
01What is Data Analytics?Lesson
02Role of a Data AnalystLesson
03Data Analytics vs Data ScienceLesson
04Data Analytics vs Business IntelligenceLesson
05Data-driven decision makingLesson
06Types of dataLesson
07Structured dataLesson
08Unstructured dataLesson
Time includes lesson study, guided practice, checkpoint preparation and project integration. Learners may spend longer when extending project work.
Hands-on Data Analytics
course projects.
Build 9 practical applications across the syllabus's progressive levels. The 3 capstones ask you to combine each level's skills, evaluate the result and explain the decisions behind it.
Monthly Sales Performance Analysis
Build, test and document a practical monthly sales performance analysis using the skills developed in Level 1.
Employee Attendance & Performance Analysis
Build, test and document a practical employee attendance & performance analysis using the skills developed in Level 1.
Retail Sales Analytics Dashboard
Build, test and document a practical retail sales analytics dashboard using the skills developed in Level 1.
SQL E-Commerce Analytics
Build, test and document a practical sql e-commerce analytics using the skills developed in Level 2.
Customer Behaviour Analytics Dashboard
Build, test and document a practical customer behaviour analytics dashboard using the skills developed in Level 2.
Executive Sales & Profitability Dashboard
Build, test and document a practical executive sales & profitability dashboard using the skills developed in Level 2.
Marketing Campaign Performance Analytics
Build, test and document a practical marketing campaign performance analytics using the skills developed in Level 3.
HR Workforce Analytics Dashboard
Build, test and document a practical hr workforce analytics dashboard using the skills developed in Level 3.
Enterprise Business Analytics & Decision Intelligence Platform
Build, test and document a practical enterprise business analytics & decision intelligence platform using the skills developed in Level 3.
Data Analytics tools you'll work with
How the Data Analytics
course is assessed.
Your result reflects steady application across the programme—not one high-pressure exam.
Module checkpoints
29 focused checks confirm that core concepts and terminology are secure.
Hands-on labs
Every module includes a guided lab tied directly to the syllabus.
Level projects
Complete 6 focused Data Analytics builds across the three levels.
Capstone projects
Plan, build, test and explain 3 progressively more complete solutions.
Certificate eligibility
Complete all required modules, submit the assignments and capstone, and achieve at least 60% overall.
Who should take this
Data Analytics course?
College students
Build practical Data Analytics evidence alongside your academic work.
Working professionals
Use Data Analytics to strengthen your current role or move towards data work.
Builders & analysts
Turn concepts into a guided project, capstone and documented decisions.
Career switchers
Follow a clear starting path with no assumption of professional experience.
Data Analytics course prerequisites
- Comfort with tables and basic arithmetic
- No coding required at the start
- Access to a spreadsheet application
- A willingness to practise and complete the capstone
Data Analytics career paths
and applications.
This programme does not promise a job. It helps you build relevant capability and evidence for conversations around roles such as:
Data Analytics guides,
roadmaps and comparisons.
Use these editorial resources to understand where Data Analytics fits, what a sensible learning path looks like and how to turn the subject into project evidence.
Beginner guideData · Beginner guide · 10 min readData analytics for beginnersA beginner guide to data analytics covering question framing, data quality, SQL, metrics, visualisation, recommendations and portfolio evidence.
Read the guide ↗RoadmapData · Roadmap · 11 min readData Analytics roadmapBuild a data analytics foundation through spreadsheets, SQL, metrics, visualisation, stakeholder thinking and a decision-focused portfolio project.
Read the guide ↗Career guideData · Career guide · 11 min readData analyst career guideLearn what data analysts do, which skills matter, how to build decision-focused portfolio evidence and how to organise a practical 90-day starting plan.
Read the guide ↗Salary guideData · Salary guide · 10 min readData Analyst Salary in IndiaUnderstand data analyst salary in India through a dated market snapshot, role scope, pay drivers, portfolio evidence and a practical learning roadmap—without treating an average as a promise.
Read the guide ↗Your Data Analytics
Certificate & LOR.
Learners who successfully meet all programme completion requirements receive an EduMonk Certificate of Specialisation and a programme-specific Letter of Recommendation. Both documents are issued as soft copies, and hard copies are dispatched by post to the learner address on record.
Data Analytics Certificate of Specialisation
Data Analytics Letter of Recommendation
About these samplesFinal documents are personalised with the completed learner's name, programme record, dates and identifiers. Sample names and details are illustrative. Please keep the postal address in your learner record accurate for hard-copy dispatch.
Data Analytics course FAQs.
Is this specialisation beginner friendly?+
Data Analytics is marked beginner. The syllabus begins with foundations and states any useful prior knowledge clearly. Professional experience is not required.
Is this a real 30-hour syllabus?+
Yes. The programme contains 29 focused modules with concept learning, hands-on practice and knowledge checks, planned across 30 learning hours in total.
What will I build?+
You will complete 9 projects across three levels, including 3 capstones. The sequence begins with Monthly Sales Performance Analysis and culminates in the Enterprise Business Analytics & Decision Intelligence Platform.
How are learners assessed?+
Completion combines module checkpoints, hands-on labs, a guided project and the final capstone. A minimum overall score of 60% is required for certificate eligibility.
What support is included?+
Your enrolment includes the complete sequenced learning experience, downloadable resources, project guidance and learner support through the connected external learner portal.
Is EduMonk Career Edge included?+
Yes. This Certificate of Specialisation includes complimentary access to EduMonk Career Edge, a 60-day Soft Skills & Career Readiness Program with one focused lesson of approximately 20 minutes each day. Career Edge adds ₹0 to your ₹3,150 programme fee.
How do payment and programme access work?+
The Enrol Now button opens this specialisation’s secure Razorpay Payment Page. EduMonk does not collect card, UPI or bank credentials. After the payment is confirmed, access to this specialisation and EduMonk Career Edge is prepared manually and sent to your registered email within 4 hours.
What certificate will I receive?+
After meeting the completion requirements, you will earn a verifiable EduMonk Certificate of Specialisation in Data Analytics.
Which completion documents are issued?+
Learners who successfully meet the Data Analytics completion requirements receive a soft-copy Certificate of Specialisation and programme-specific Letter of Recommendation. Hard copies of both documents are also dispatched by post to the learner address on record.
How long can I access the programme?+
The structured learning journey lasts 2 Months. Access details, completion records and earned credentials are managed through the connected external learner portal.
