Data Analytics • Data Career Learning

Don’t just learn Data. Learn to think with it.

Learn concepts the way they’re taught in international university classrooms — made simple for beginners, non-technical learners, and career switchers.

Start Learning with DATA247 — ₹999/-

Continue to sign in to start your DATA247 learning journey.

Our learning philosophy
Not memorising tools. Understanding concepts and learning to think with Data.

Inspired by the founder's learning experience at the University of East London.

From your first concept to job-ready skills — learn, practise, and build confidence step by step.

  1. 01Understand concepts
  2. 02Learn step by step
  3. 03Practise what you learn
  4. 04Become job-ready

Career stage

Built for Your Career Stage

Whether you're building your foundation, changing careers, or advancing your current skills, learn at the stage that fits your goals.

01

College Students

Build practical data skills alongside your degree and prepare for internships, projects, and your first data role.

02

Career Switchers

Build the skills, practice, and career preparation needed to move into Data Analytics and related roles.

03

Working Professionals

Strengthen your analytics skills, learn new tools, and prepare for your next career opportunity.

Learning level

Start Where You Are. Grow From There.

Follow a structured progression from fundamentals to practical skills and advanced problem solving.

1

Stage 1

Beginner

Build strong foundations in data concepts, Excel, SQL, statistics, and analytical thinking.

Focus areas

  • Data fundamentals
  • Excel
  • SQL foundations
  • Basic statistics
  • Analytical thinking
2

Stage 2

Intermediate

Turn your knowledge into practical analytical skills and real-world problem solving.

Focus areas

  • Advanced SQL
  • Python for Data Analysis
  • Power BI
  • Data visualization
  • Practical projects
3

Stage 3

Advanced

Develop deeper analytical thinking and prepare for more complex data and career challenges.

Focus areas

  • Advanced analytics
  • Advanced problem solving
  • Advanced SQL
  • Advanced Python
  • Interview preparation

Connected learning experience

01Learning
02Practice
03Skill Development
04Career Preparation

Don't just consume content. Build skills you can use.

DATA247 connects learning, practice, and career preparation in one learning experience.

Ready to start your data journey?

Choose your level and start building practical data skills.

Featured learning path

Data Analyst Career Path

Build practical data skills from foundations to career readiness.

Beginner
Intermediate
Advanced

Future learning path

Data Scientist

Coming Soon

A future path for deeper data science learning.

Data Analyst learning experience

Learn, Practise, and Prepare

Move through structured learning, focused practice, and practical career preparation without navigating a generic course catalogue.

Structured notes

Written notes in English and Hinglish, organised by module and topic.

  • English Notes
  • Hinglish Notes
  • Module/topic based

Video learning

The Data Analyst experience will include recorded video lectures organised around focused topics.

  • Recorded video lectures
  • Topic-focused learning

Practice

Test understanding and identify areas to improve.

  • MCQs
  • Flashcards
  • Job-Ready Quiz

Career preparation

Prepare for the transition from learning to opportunity.

  • Interview Guides
  • AI ATS Resume Builder
  • Career Tools

Career and platform support

Support for Your Next Step

Use focused career resources, or connect with a tutor when you need additional help.

AI ATS Resume Builder

Create and improve a resume designed for modern applicant tracking systems.

Build Your Resume

Interview Preparation

Prepare for data-focused interviews with structured interview resources.

Prepare for Interviews

Need additional learning support?

Explore the current tutor directory when you want one-to-one guidance.

Explore Tutors

Your next step

Start Building Your Data Career.

Choose your level, explore the Data Analyst path, and start building practical data skills.