🔥 Next Cohort Starts in 00:00:00
|
⚡ Only 7 Seats Left for this Batch!
Aggregate raw records, formulate complex SQL pipelines, and design business intelligence dashboards that drive strategy.
We focus on clean data retrieval, relational querying, and dashboard design.
Anyone can draw a pie chart. Companies pay for analysts who can clean messy records and draw insights that grow revenues.
Learn clean layout design rules. Create dashboards that present KPIs without clutter.
Master joins, aggregates, subqueries, and window functions to retrieve records efficiently.
Use Pandas and NumPy libraries to parse csv files, handle empty columns, and clean datasets.
A practical, structured guide to querying, cleaning, and visualizing datasets.
VLOOKUP, INDEX-MATCH, pivot tables, chart layouts, conditional formatting, and dashboard grids.
PostgreSQL schemas, group filters, join structures, subqueries, and database connections.
Writing cleaning scripts, handling missing cells, merging csv data, and configuring basic data loops.
Connecting datasets, drafting data models, creating interactive visuals, and sharing live reports.
Extracting raw records from databases, transforming variables, and loading clean datasets into data lakes.
Analyze business case studies, draft analytics memos, present insights, and recommend budget corrections.
We offer two structures. Choose the one matching your immediate academic or professional goal.
Beginner-friendly sprint focusing on basic spreadsheet models and simple SQL database lookups.
Designed for job-ready analysts. Clean large messy datasets, compile complex databases, and build interactive Power BI workspaces.
Real-world data reports displaying complete database queries.
A spreadsheet analytics board tracking sales KPIs, segment performance, visual graphs, and forecasting charts.
Write Postgres SQL scripts that join database tables, calculate customer retention rates, and identify best-selling products.
Analyze raw seed funding data, clean fields with Pandas scripts, and compile a report explaining sector valuation details.
A hosted, live corporate analytics report with interactive map views, product filters, and cohort analysis metrics.
Every student who finishes their development track walks away with a suite of professional deliverables.
SQL script files, python data models, and clean datasets hosted publicly showing your logic execution.
A hosted portal containing embeds of your Power BI panels and write-ups of your case study analysis.
Practice calls evaluating your knowledge on SQL triggers, database joins, python cleaning syntax, and data principles.
Walk away with a basic understanding of Excel filters and simple SQL queries with 1 static case study report.
Internship Experience Certificate from Digiteease verifying your contribution and code repositories.
Invest in your career launch. Lock in the pricing before the next cohort batch deadline.
Duration: 30 Days | Internship: 15 Days
Save ₹5,000 on registrations
Duration: 90 Days | Internship: 30 Days
Save ₹12,000 on registrations
Duration: 180 Days | Internship: 60 Days
Save ₹25,000 on registrations
| Feature | Starter Track | Professional Track | Enterprise Track |
|---|---|---|---|
| Tuition Rate | ₹4,999 | ₹12,999 | ₹24,999 |
| Duration | 30 Days | 90 Days | 180 Days |
| Internship | 15 Days | 30 Days | 60 Days |
| Capstone Projects | 1 Project | 4 Projects | 10 Projects |
| Mentorship | Forum support | 1-on-1 Sessions | Direct Senior Audits |
| Verified Certificate | ✅ Yes | ✅ Yes | ✅ Yes |
| Placement Assistance | ❌ No | ✅ Yes | ✅ Yes |
| Doubt Support | Standard | 24/7 Priority | 1-on-1 Dedicated |
| Resource Access | Lifetime | Lifetime | Lifetime |
Frequently asked questions regarding the Data Analysis program.
Bypass generic coding mockups. Secure a job-ready portfolio and start landing developers' callbacks.