Data Analytics with AI · Live online · 16 weeks · Mentor-led
Data Analytics with AI.
A 16-week, part-time live program that takes you from spreadsheets to SQL, Python and a BI dashboard, and shows how to use AI as an assistant in that work — with the same care you would give any other analysis. A possible later path is our Advance Data Engineering program if you decide to go further.
- Learn SQL and Python for analysis by working through structured labs, not only watching videos
- Build a dashboard and a written narrative on a dataset you can show
- Use AI to draft queries and explanations, then verify the numbers yourself
Part-time, live online · 16 weeks · 8–10 hours a week · Fees and EMI options shared on a counsellor call.
Live online · Mentor-led
- 16 weeksDuration
- 8–10 hours a weekTime commitment
- Part-time, live onlineFormat
- Recordings if you miss a sessionAttendance
Designed with Africa, the Gulf and the UK in mind; join live from anywhere.
Outcomes
What you will be able to do.
These are skills and work products from the program — not placement, salary or promotion promises.
- 01
Clean and describe a dataset in a spreadsheet, and ask a precise analytical question
- 02
Write SQL to filter, join and aggregate tables for an analysis
- 03
Use Python (including pandas) to wrangle tabular data and produce clear charts
- 04
Build a BI dashboard and a short written narrative a decision-maker can read
- 05
Use an AI assistant to draft queries or explanations, then check the results yourself
- 06
Know what a later data-engineering path would involve, without being pushed into it
Who it's for
A good fit, and when it is not.
Introductory to intermediate; no prior programming required
This program is for
- Career starters and career-switchers who want a structured path into analysis work
- Analysts and operations professionals who want SQL, Python and BI, not only spreadsheets
- Learners in Africa, the Gulf, the UK and other regions who can commit 8–10 hours a week for 16 weeks
This program is not for
- Experienced data engineers looking for Spark, warehouse architecture or production pipelines — see Advance Data Engineering with GenAI
- People seeking placement or salary guarantees — we do not offer those
Starting point
- No prior programming is required; comfort with spreadsheets is helpful
- You will need a laptop that can run a browser and a Python environment, plus time for weekly labs
Curriculum
Week by week, 16 weeks.
8–10 hours a week, live and mentor-led. Open a week for topics, labs and what you ship.
- Descriptive, comparative and diagnostic questions
- What a dataset can and cannot answer
- A first look at the capstone-style dataset you will grow through the program
- Using an AI assistant to critique a question — then tightening it yourself
Projects
Work you can take with you.
Cleaned dataset and question brief
A documented, cleaned table and a question the data can actually support.
SQL and Python analysis
A SQL workbook and a reproducible Python notebook that answer the same question with checks.
Capstone dashboard and narrative
A BI dashboard, a short written brief, and a method note that includes how you used (and verified) AI assistance.
Tools
What you will practise with.
These are tools used in the sessions. Product and company names are trademarks of their respective owners and are shown for identification only; no affiliation is implied.
Spreadsheets
- Google Sheets
- Excel
Analysis
- SQL
- Python
- pandas
- Jupyter
BI
- Looker Studio
- Power BI
AI assistance
- ChatGPT
Format and schedule
Part-time, live, with regional batches.
Part-time and live online, in a small mentor-led cohort. Weekend-morning batches are offered for learners in the US. Evening batches (India time) are offered for learners in the Gulf and Africa. Europe-oriented groups typically meet after work and on Saturdays. Recordings are shared if you miss a live session. Exact days, times and the next cohort date are confirmed on a counsellor call.
Designed with Africa, the Gulf and the UK in mind; join live from anywhere.
Fees and EMI options shared on a counsellor call. A Datamarcos certificate of completion is awarded when you finish the program work. Cohort start dates are shared on a counsellor call — we do not publish a date until then.
Lead mentorMentor
Deepesh Mishra
Founder, Datamarcos · Solution Architect · Corporate Trainer · BITS Pilani alumnus
Deepesh is the founder and lead mentor at Datamarcos. He has worked as a solution architect and corporate trainer in data and AI, and has trained teams at 200+ organizations. Live sessions on this program are mentor-led, with practical, project-based delivery.
FAQ
Questions, answered.
Can't find yours? A counsellor will answer it on a short call.
Do I need prior programming experience?
No. Comfort with spreadsheets is helpful. SQL and Python are taught in the program, with weekly labs. You will need a laptop and 8–10 hours a week.
How long is the program?
Sixteen weeks, part-time and live online, at about 8–10 hours a week including live sessions and labs.
What will I build?
A cleaned dataset and question brief, a SQL analysis, a reproducible Python notebook, and a capstone BI dashboard with a written narrative. You will also practise using an AI assistant and verifying its output.
Are the sessions live?
Yes. Sessions are live and mentor-led, with recordings if you miss a class. Evening batches on India time are offered for learners in the Gulf and Africa, with other regional times available. Exact times are confirmed on a counsellor call.
Is this a data-engineering program?
No. This is an analysis program: spreadsheets, SQL, Python, BI and careful AI assistance. If you later want pipelines, warehouses and production data engineering, Advance Data Engineering with GenAI is a possible next path. A counsellor can help you compare.
What about fees?
Fees and EMI options shared on a counsellor call.
Is there a refund policy?
Yes. Datamarcos has a 7-day refund policy. If the program is not right for you, ask within 7 days of enrollment.
The full program guide
Read the 16 weeks curriculum.
Modules, projects, tools and format in one PDF. No prices are listed; fees are shared on a counsellor call.
Full program guide
Data Analytics with AI (SQL, Python, BI) brochure
Share your details once to read and download the complete syllabus.
Unlock the syllabusSmall-batch live cohorts
Build analysis skills you can show.
Share a few details. A counsellor will talk through your background, the time commitment, the next cohort, fees and enrollment.
- Sixteen weeks, 8–10 hours a week, live and mentor-led
- SQL, Python, a BI dashboard and a written capstone
- No prior programming required
- Honest outcomes: no placement or salary guarantees
- Live, mentor-led sessions with Deepesh Mishra
- Honest outcomes: no placement or salary guarantees
- 7-day refund policy: not right for you? Ask within 7 days for a refund.
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