Instructor
Chandramani Kumar
Data Analytics Mentor
Industry mentor focused on practical student outcomes.
Learning Outcomes
Build a complete Data Analytics capstone
Use industry-standard tools confidently
Document work clearly for interviews
Earn a verified completion certificate
Core Topics
Full 30-Day Curriculum
Week 1: Data Analytics foundations
Day 1
Data Analytics Sprint Day 1
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 2
Data Analytics Sprint Day 2
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 3
Data Analytics Sprint Day 3
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 4
Data Analytics Sprint Day 4
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 5
Data Analytics Sprint Day 5
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 6
Data Analytics Sprint Day 6
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 7
Data Analytics Sprint Day 7
Learn, practice, and ship a concrete portfolio artifact for this track.
Week 2: Core workflows
Day 8
Data Analytics Sprint Day 8
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Day 9
Data Analytics Sprint Day 9
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 10
Data Analytics Sprint Day 10
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 11
Data Analytics Sprint Day 11
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 12
Data Analytics Sprint Day 12
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 13
Data Analytics Sprint Day 13
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 14
Data Analytics Sprint Day 14
Learn, practice, and ship a concrete portfolio artifact for this track.
Week 3: Applied projects
Day 15
Data Analytics Sprint Day 15
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 16
Data Analytics Sprint Day 16
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 17
Data Analytics Sprint Day 17
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 18
Data Analytics Sprint Day 18
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 19
Data Analytics Sprint Day 19
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 20
Data Analytics Sprint Day 20
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 21
Data Analytics Sprint Day 21
Learn, practice, and ship a concrete portfolio artifact for this track.
Week 4: Capstone and certification
Day 22
Data Analytics Sprint Day 22
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 23
Data Analytics Sprint Day 23
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 24
Data Analytics Sprint Day 24
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 25
Data Analytics Sprint Day 25
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 26
Data Analytics Sprint Day 26
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 27
Data Analytics Sprint Day 27
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 28
Data Analytics Sprint Day 28
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 29
Data Analytics Sprint Day 29
Learn, practice, and ship a concrete portfolio artifact for this track.
Day 30
Data Analytics Sprint Day 30
Learn, practice, and ship a concrete portfolio artifact for this track.
Tools You Will Use
Spreadsheets
Applied Spreadsheets workflow
SQL
Applied SQL workflow
Python
Applied Python workflow
Dashboards
Applied Dashboards workflow
Storytelling
Applied Storytelling workflow
Projects
Week 1
Excel dashboard — analyse a retail sales dataset and build an interactive pivot-table dashboard
Week 2
Full EDA Python notebook on a Kaggle dataset — cleaning, exploration, and 10 business insights
Week 3
Power BI 2-page dashboard with 5 KPI measures and a data story narrative
Week 4
Capstone Project: End-to-end analytics project: choose a dataset, clean it, run EDA, build visualisations, create a Power BI dashboard, and present a 5-slide data story with business recommendations
Program FAQ
What tools will I learn in Data Analytics internship?
You may learn tools such as Excel, Power BI, SQL, and basic analytics concepts.
Is coding mandatory?
No, beginners can start with basic analytics tools.
Reviews
"Clear, practical, and portfolio-focused."
Priya S