01DATA ANALYTICS
Find what the data is saying.
Clean messy data, query databases, build dashboards and communicate insights that help teams make better decisions.
Advanced ExcelSQLPythonPandasNumpyPower BIData Visualization
DATA ANALYTICS + DATA SCIENCE
Turn data into decisions.
Then turn decisions into models.
A practical, career-focused path from Excel + SQL + Power BI to Python + Statistics + Machine Learning — with real datasets and portfolio projects.
6–8Months
6+Major Projects
PracticalLearning
student-project.mp4
Build. Analyse. Explain.→
DATASET125K+Rows analysed
STACKPY · SQL · BIIndustry tools
OUTPUTPORTFOLIOProjects that tell a story
EXCEL•SQL•PYTHON•PANDAS•POWER BI•STATISTICS•MACHINE LEARNING•EXCEL•SQL•PYTHON•POWER BI•MACHINE LEARNING
THE PATHTwo disciplines.
Two disciplines.
One data career.
Start with the skills businesses use to understand data. Progress into statistics and machine learning when you're ready to build predictive solutions.
+
02DATA SCIENCE
Use data to predict what happens next.
Build statistical intuition, prepare features, train machine-learning models and evaluate whether they actually work.
PythonStatisticsPyTorchScikit-learnMachine LearningDeep LearningModel Evaluation
WHAT YOU'LL ACTUALLY DO
Not just another certificate course.
You work through the same kind of thinking used in real data teams: question → data → analysis → insight → model → explanation.
01Ask
→
Frame a business question.
02Collect
→
Work with structured data.
03Analyse
→
Query, clean & explore.
04Visualise
→
Build dashboards & stories.
05Model
Predict with machine learning.
CURRICULUMLearn the tools.
Learn the tools.
Understand the why.
The curriculum moves from foundations to applied work so that every tool has a reason to exist.
FOUNDATIONS
↗Excel + Data Fundamentals
Formulas, lookups, pivot tables, cleaning, summaries and business KPIs.
DATABASES
↗SQL for Business Analysis
SELECT, joins, subqueries, CTEs, window functions, aggregations and real questions.
PYTHON
↗Python + NumPy + Pandas
Write useful analysis code, transform datasets and automate repetitive work.
VISUALISATION
↗Power BI + Data Storytelling
Power Query, data models, DAX, dashboards and communicating the insight.
STATISTICS
↗Statistics for Data Science
Distributions, probability, sampling, hypothesis testing, correlation and regression intuition.
MACHINE LEARNING
↗Machine Learning + Evaluation
Feature preparation, supervised learning, model selection, metrics and practical evaluation.
PROJECT LAB
Build things you can show.
Projects are designed to demonstrate your ability to take a dataset and turn it into something useful.
Sales Performance Dashboard
Turn raw sales data into KPIs, trends, regional performance and an interactive decision dashboard.
Power Query · DAX · Data Model
Business Analytics Case Study
Answer business questions across multiple tables, then explore the findings with Python.
SQL · Pandas · EDA
Prediction Project
Prepare features, train a model, evaluate it and explain what the model learned.
Python · Scikit-learn · Metrics
End-to-End Data Project
Take a real problem from data collection and cleaning through analysis, modelling and a simple deployed prediction layer.
Python · Pandas · Scikit-learn · Model Tuning
BY THE END
You should be able to open a dataset and know what to do next.
✓ Clean and transform messy datasets
✓ Write SQL to answer business questions
✓ Analyse data with Python and Pandas
✓ Build Power BI dashboards
✓ Apply statistics to real problems
✓ Train and evaluate machine-learning models
FAQ
Still figuring out where you fit?
Start with your current background and let our counsellor explain the right path, batch and fee structure.
Do I need prior coding experience?
No. The program is structured from fundamentals and progressively moves into Python, statistics and machine learning.
Can I learn Analytics and Data Science together?
Yes. This landing page presents the combined pathway; the exact batch structure can be discussed with the academy.
What tools will I learn?
Excel, SQL, Python, Pandas, Power BI, statistics and machine-learning tooling such as scikit-learn.
How do I get the current fees and batch timings?
Submit the enquiry form below and the academy team can share the current details.
GET DETAILS
Let's talk about your data career.
Share your details. We'll help you understand the curriculum, current batch, fees and learning path.
WhatsApp+91 91791 33358 ↗