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Data & AI / PROJECT-BASED LEARNING
Data Analytics
Internship.
Can you turn a spreadsheet into a useful decision? Build practical skills through a self-directed internship with a project brief, milestones and documented results.
Remote formatUp to 6 earned months
THE FOCUSSkills you can apply
THE WORKMilestone-based projects
THE TAKEAWAYA documented body of work
THE NEXT STEPApply, then choose a project
THE POSSIBILITIES BEHIND THE PROGRAM
Can you turn a spreadsheet into a useful decision?
You like asking questions, organizing information, and communicating a clear answer. The data analytics program gives you a framework for exploring that interest through the learning areas below.
You’ll encounter practical assignments and project scenarios. The emphasis is on understanding the problem, making thoughtful choices, and explaining the result.
Choose meaningful business questionsQuery and validate the underlying dataDesign a readable decision dashboard
THE LEARNING MAP
Depth with a direction.
Explore the skills in this program. Choose a one-month project matched to your skills. Complete each stage before beginning another.
10CONNECTED LEARNING AREAS
Move from a working foundation to practice, then bring the pieces together in a project you can explain.
01Excel Advanced
+
Pivot tables, VLOOKUP, macros, dashboards
02SQL
+
Queries, joins, subqueries, optimization
03Power BI
+
Interactive reports, DAX, data modeling
04Tableau
+
Visual analytics, storytelling, calculations
05Data Cleaning
+
ETL, missing data, normalization, QA
06Business Analytics
+
KPIs, metrics, strategic analysis
07Reporting
+
Executive dashboards, automated reports
08Real Projects
+
Industry datasets, capstone projects
09A/B Testing
+
Hypothesis testing, experimental design
10Cloud Data
+
Working with AWS/GCP data warehouses
A PROJECT TO MAKE IT TANGIBLE
A dashboard with a point of view.
exploration.ipynb evaluation.md findings.pdf
YOUR WORKING BRIEF
A dashboard with a point of view
01 / QUESTION
Can you turn a spreadsheet into a useful decision?
02
Choose meaningful business questions
03
Query and validate the underlying data
04
Design a readable decision dashboard
Build it. Check it. Explain it.↗
The challenge
Use a sample sales dataset to investigate changes by product, region, and time. Define the questions first, then build a dashboard and explain what someone should look at next.
What you could present
A dashboard, documented SQL queries, and a one-page insight summary.
The workThe decisionsThe next version
This example explains the kind of thinking involved. Your actual assignment, dataset, tools, and deliverables may differ.
What makes a strong project?
01Clarity
The problem and intended result are easy to understand.
02Reasoning
Your choices follow from evidence and sensible assumptions.
03Care
The work is checked, organized, and understandable.
04Reflection
You identify limitations and explain what you would improve.
START FROM WHERE YOU ARE
Curiosity helps.
Preparation does, too.
Spreadsheet confidence is a useful starting point. You will also encounter SQL, a query language, alongside visualization tools.
You don’t need to pretend you already know everything. Use the roadmap to identify what you can do today and what deserves a little practice first.
Before you choose your next step
Read the curriculum and identify the skills you most want to practice.
Make sure you have a suitable device, internet access, and the tools for your chosen field.
Review the project workload, milestones and evaluation requirements. These pathways do not include personal mentor meetings.
Compare free and premium pathways, inclusions, and completion requirements.
FROM APPLICATION TO COMPLETION
A clear path, one month at a time.
Choose your project
Review the workload, laptop requirements and milestones. Your dates start only when the project is activated.
Build and submit
Work through the brief, save drafts and submit evidence by your deadline. Request an extension before the original end date if needed.
Earn your month
Pass the required evaluation and reach the original end date. Continue within five days or finish with your earned months.
KNOW WHAT COMES NEXT
Data Analytics, explained.
Who is this program designed for?+
You like asking questions, organizing information, and communicating a clear answer. Interns, recent graduates, and people exploring a new field can use the roadmap to assess whether it matches their goals. The starting-skills section explains useful preparation.
What should I be able to show at the end?+
A dashboard, documented SQL queries, and a one-page insight summary. This is an example outcome for the project brief above, not a guarantee of a specific assignment. Your program requirements determine completion eligibility.
How long is the internship?+
Start with one free calendar-month project. Earn the month by passing the required assessment and reaching its original end date. Each later month uses one separately purchased premium project, up to six earned months. New journeys have five days after the submission deadline to activate the next project; an approved extension moves that window but adds no internship credit. Your dashboard shows exact dates in Indian time. Earlier activated journeys keep their accepted rules.
Is this a salaried internship vacancy?+
This is a project-based learning program. It does not promise a salary, stipend, client placement, or job offer. Any separate employment opportunity requires its own written terms.
Which project pathways are available?+
Account registration is free. Begin with an available free introductory project. After earning your first month, choose one validated premium project for each later month. Review the full price, tools, workload and assessment requirements before each purchase. Unreleased projects cannot be activated. See enrollment information.
When do I receive documents?+
An offer letter is eligible after your free first-month activation. An applicable NOC is eligible after premium activation. Completion documents require passing assessment, reaching the original project end date and finalizing your earned internship record. Your Documents page shows each document’s availability. Earlier issued documents and their verification links remain preserved.
YOUR NEXT STEP
Make data analytics
part of your story.
Start with a short introduction. Review the details before you commit.