PYPopular
Backend Development
Python Development
Backend development and scripting with Python.
PythonFlaskDjango+2
- Duration
- 3–4 Months
- Mode
- Classroom + Live Online
- Level
- Beginner → Advanced
Data Analytics
Data Analytics
Analyze and visualize data to support real decisions.
PythonSQLPandasData Visualization
- Level
- Beginner → Intermediate
- Duration
- 3 Months
- Mode
- Classroom + Live Online
DA
What's inside
- Analytics Foundations and Python5 items
- SQL for Analysis6 items
- Data Wrangling with Pandas5 items
- Statistics for Analysts5 items
- + 2 more modules in the full syllabus
Next batch
Timing to be announced
Live Online
Overview
What you'll learn
About this course
Data Analytics teaches you to turn raw, messy data into clear answers. You learn to ask good questions, clean datasets, analyse them with Python and SQL, and present findings that people can act on.
You work with realistic datasets from the start, so cleaning, joining and summarising data feels like the real job rather than a classroom exercise.
Visual storytelling is a core skill here: choosing the right chart, simplifying it, and explaining what it means in plain language.
Who this course is for
- Beginners who want an entry into data and analytics roles
- Business and operations professionals who work with spreadsheets and reports
- Students and graduates building a data portfolio
- Developers who want to add analysis skills to their toolkit
Before you start
Prerequisites
- No prior coding experience required
- Level
- Beginner → Intermediate
- Duration
- 3 Months
Python and SQL together
The two skills most analyst roles ask for, taught side by side.
Real, messy datasets
Practice cleaning and reshaping data the way it actually arrives.
Visual storytelling
Build charts that explain, not just decorate.
Portfolio case studies
Finish with analyses you can walk someone through.
Is it right for you?
Check if this course fits you
A quick, honest look at who gets the most from this course — and a self-check you can do in seconds.
A great fit if…
- Beginners who want an entry into data and analytics roles
- Business and operations professionals who work with spreadsheets and reports
- Students and graduates building a data portfolio
- Developers who want to add analysis skills to their toolkit
!You may want to start elsewhere if…
- You already build and ship production applications — a more advanced course may suit you better.
- You only want a short theory overview with no hands-on practice.
Quick readiness check
0/1Tick what describes you today.
Not ticking everything? That's okay.
A counsellor can suggest where to begin and whether a refresher will help.
Talk to a counsellorLearning Outcomes
Skills you'll practice
Course examples, not institutional guarantees.
Frame business questions as analysis tasks
Clean and prepare raw data
Query and join data with SQL
Analyse and transform data with Pandas
Summarise data with statistics and aggregations
Build clear, honest visualisations
Communicate insights to non-technical audiences
Document an analysis so others can reproduce it
Tech Stack
Technologies you'll use
New to these names? Here's what each one is and why it's in the course.
PY
Python
A beginner-friendly language used for backends, automation, data and AI.
SQ
SQL
The language for asking questions of relational databases.
PA
Pandas
A Python library for cleaning, reshaping and analysing tabular data.
DV
Data Visualization
Turn numbers into charts that make patterns easy to see.
Your roadmap · 14 weeks
Curriculum
What you'll cover, module by module
- 6
- Modules
- 24
- Lessons
- 6
- Hands-on
- 14
- Weeks
Want the full syllabus walkthrough?
Talk to a counsellor about how each module fits your goals.
Book Free CounsellingModule order and durations are illustrative and may be adjusted by batch.
The analyst workflow and just enough Python to work with data.
- LessonThe analytics process: question, data, analysis, story
- LessonPython basics for analysis
- LessonNotebooks and reproducible work
- LessonTypes of data and common data problems
- AssignmentExplore a small dataset and write up first observations
You'll finish this module with
Explore a small dataset and write up first observations
How you'll learn
What a typical module looks like
Every module follows the same four-step rhythm, so you always know what comes next.
Step 1
Learn it live
Join a live instructor-led session — in the classroom or online, whichever batch you choose.
Step 2
Practice right away
Apply the topic in guided exercises while it's fresh, so it sticks.
Step 3
Build the assignment
Finish each module with a small, real piece of work — your own, not a copy-along.
Step 4
Get mentor feedback
A mentor reviews your work and tells you what to improve before you move on.
Projects
Practical work in this course
Example project
Sales Performance Analysis
Understanding which products and regions drive revenue.
PythonSQLPandas
Outcome
A cleaned dataset, key metrics and a recommendation summary (example project).
Example project
Customer Behaviour Dashboard
Spotting trends in how customers buy over time.
PythonData Visualization
Outcome
An interactive-style dashboard of cohorts and trends (example project).
Example project
Operational Metrics Report
Tracking process efficiency and bottlenecks.
SQLPandas
Outcome
A repeatable report built from SQL queries (example project).
Learning Modes
Available for this course
Classroom
Learn with instructors in a structured classroom environment.
Live Online
Attend interactive instructor-led sessions from anywhere.
Certification
Certificate of Completion
Certificate of Completion, awarded on meeting the program's completion criteria. Certificate details and eligibility may vary by program.
- Awarded in your name for the program you complete
- Carries a unique certificate number and issue date
- Signed by the Director and the Training Head
- Includes a QR code printed on the certificate
The certificate on the right is a sample for illustration. Eligibility and details may vary by program.
Sample certificate
Career Support
Support alongside this course
Practical support to help you present your skills with confidence.
RG
Resume Guidance
PD
Portfolio Development
MI
Mock Interviews
TI
Technical Interview Preparation
CP
Communication Practice
JS
Job Search Guidance
FAQ
Questions about this course
Still have a question?
Our counsellors can walk you through Data Analytics and the right batch for you.
Talk to a CounsellorNo. The course starts from the basics of Python and builds statistics knowledge step by step.
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Ready to start learning?
Talk to our team about the right learning path for you.