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Data Analytics · 12-Week Program

Turn raw data
into decisions.

Master SQL, Python, Power BI and data storytelling by analysing real business datasets not textbook samples and delivering insights that actually influence outcomes.

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0Program duration
0Placement rate
0Real datasets analysed
0Business-context projects
Program Curriculum

From spreadsheets to boardroom insights.

12 weeks covering the complete analytics pipeline data wrangling, SQL querying, Python analysis, visualisation and business storytelling.

Weeks 1–2

Excel & Data Fundamentals

Advanced Excel, pivot tables, data cleaning, functions and the core thinking behind structured analysis.

ExcelData Cleaning
Weeks 3–5

SQL & Database Querying

Write complex queries, joins, subqueries, window functions and aggregate analytics against real business databases.

SQLJoins & Windows
Weeks 6–8

Python for Data Analysis

Pandas, NumPy, Matplotlib and Seaborn manipulate, explore and visualise datasets with code.

PythonPandas
Weeks 9–10

Power BI & Tableau

Build interactive dashboards, calculated measures, KPI trackers and executive-ready reports from raw data.

Power BITableau
Week 11

Statistics & Predictive Basics

Descriptive and inferential statistics, regression fundamentals and forecasting making data insights defensible.

StatisticsRegression
Week 12

Storytelling & Capstone Project

Frame and present a full data analysis to a business audience from raw dataset to recommendation deck.

Live ProjectPlacement
Data
with real business stakes
Why learn Data Analytics here

You analyse real business data not demo CSVs

GenieBox works with real clients across industries. Students work on actual business datasets - sales figures, marketing funnels, operational metrics and deliver dashboards that stakeholders genuinely use. Your capstone project is a real analysis, not a classroom exercise.

  • Analyse real client business datasets
  • Mentorship from working data analysts
  • Dashboards that go into actual client reporting
  • Placement support with data-driven companies
Student Services

Support that goes beyond the syllabus

Internship Program

Intern as a data analyst on live GenieBox client intelligence and reporting projects.

Live Dataset Projects

Work with real business data and build dashboards that are actually presented to clients.

Placement Assistance

Resume, mock interviews and referrals to analytics, finance and e-commerce hiring teams.

Career Guidance

1:1 mentorship to map your path analyst, BI developer or data engineer.

Corporate Training

Data literacy and Power BI upskilling for business and operations teams.

Certification

GenieBox Academy certificate with a verified portfolio of live dashboards and case studies.

Placement Stories

From learners to analysts

"

I came from an accounting background and felt completely lost around data tools. This program changed that. By week 6 I had built a sales dashboard that a real client was using. That one project alone got me three interview calls.

LN
Lakshmi N.Business Data Analyst
"

The SQL and Python modules together were transformative. I could already use Excel but after this program I was writing Python scripts to process 100k-row datasets in seconds. My employer told me I was the most technically strong analyst they'd interviewed.

BS
Bharath S.Data Analyst E-commerce
FAQ

Before you enrol

Do I need to know coding or statistics to start?
No. The program starts from Excel and builds upward. Python and statistics are introduced from scratch with a practical, business-first approach. A comfort with numbers is helpful but formal training is not required.
What tools and technologies will I learn?
Excel, SQL (PostgreSQL), Python (Pandas, NumPy, Matplotlib, Seaborn), Power BI, Tableau and Google Data Studio. These are the tools most actively used by data analysts across industries today.
Will I work with real data?
Yes, Throughout the program you work with real, anonymised business datasets from GenieBox client projects. Your capstone involves analysing a genuine dataset and presenting findings to a panel, mirroring what you'd do on the job.
What industries hire data analytics graduates?
Finance, e-commerce, healthcare, FMCG, logistics and tech virtually every sector has active demand for data analysts. Our hiring network spans all of these, and we match graduates to roles that fit their domain interests.
Is there flexible scheduling for working professionals?
Yes, Classes run weekday evenings and Saturday mornings. Every session is recorded so you can catch up at your own pace. Many of our graduates complete the program while working full-time.

Your analytics career
starts here.

Book a free counselling session. We'll walk through the program, show you student work and find the right batch for your schedule.

Free course counselling
Flexible batches & payment plans
Placement & internship support

Course counselling

Tell us what you'd like to learn.