By the time you finish, you'll be able to work hands-on with the tools companies actually use — Apache Spark, Hadoop, Kafka, SQL, Python, Power BI, Tableau, and cloud platforms like AWS, Azure, and GCP. You'll know how to build data pipelines, design databases, create dashboards, and apply basic ML models on real datasets.

• Build and deploy end-to-end data pipelines from scratch
• Clean, transform and analyse large, messy real-world datasets
• Create professional dashboards stakeholders can actually use
• Walk into interviews with a live portfolio of 6+ projects

Absolutely — and you're actually our most common student profile. No prior coding, maths, or data background is required whatsoever. We start from zero — what is data, what is a database, why does any of this matter — and build up progressively. Every concept is introduced live, explained simply, and immediately applied in a hands-on exercise you do alongside the instructor in real time.

Students from HR, finance, operations, teaching, and even homemakers have completed this programme and gone on to data roles.

The programme is designed for busy working professionals and students. Live sessions run daily and typically last 1.5–2 hours. If you miss one, every session is recorded and saved to your account permanently — so you can catch up at any time, at your own pace. Most students who put in 1–2 focused hours a day complete the programme comfortably within 6 months.

The programme is structured across 8 core modules, each one building on the last:

• Module 1–2: Big Data foundations, Python & SQL from scratch
• Module 3–4: Apache Hadoop, Spark, Kafka — distributed systems hands-on
• Module 5: Cloud platforms — AWS, Azure & GCP with real environments
• Module 6: Databases — SQL (PostgreSQL, MySQL) + NoSQL (MongoDB, Cassandra)
• Module 7: Data visualisation — Tableau, Power BI, and Python charts
• Module 8: Capstone project — a full end-to-end pipeline you own and present

Fully live, instructor-led sessions — every single day. Not pre-recorded YouTube videos. You join a live class where you can ask questions, get your code reviewed in real time, and work through problems alongside batchmates. Every session is also recorded and saved to your account permanently, so you never miss anything.

Every enrolled student gets dedicated 1:1 mentorship sessions throughout the programme — not just access to a forum or a Discord server. Your mentor reviews your project work, answers specific questions about your code or career, and gives you actionable feedback on your portfolio and resume. This is the single biggest differentiator between EDVANE and other online courses.

You receive the EDVANE Verified Certificate on completing the programme — shareable directly on LinkedIn and your resume. It is recognised by our hiring partner network across 50+ companies in India.

You also unlock 30 additional Big Data & Analytics certificates — covering Spark, Kafka, Hadoop, AWS, Azure, GCP, MongoDB, Tableau, Power BI, Snowflake, Databricks, and more — all included for free with your enrolment and recognised across the industry.

78% of EDVANE graduates got hired or promoted within 6 months of completing the programme. Here's why it works:

• You build a real portfolio of 6+ projects using tools companies hire for
• Your mentor reviews and optimises your resume and LinkedIn profile
• Top performers get priority access to our 20-week Placement Programme
• Our hiring partner network actively looks for EDVANE graduates
• You graduate knowing the exact tools listed in Big Data job descriptions

Just a laptop (Windows, Mac, or Linux) and a stable internet connection. That's it. All software installations — Python, Spark, Docker, cloud tool setups — are done live together during the first week of sessions. Nothing to install before you start. Cloud environments are accessed via browser so you don't even need a powerful machine.

Check your spam, promotions, and junk folders first — confirmation emails sometimes land there. If you still haven't received anything within 30 minutes of completing payment, reach out to us directly via the chat widget on this page or WhatsApp our support team. We resolve all confirmation issues immediately — usually within minutes.