The AI-Ready
Data Analyst
Learn Excel, statistics, MySQL, Python and Power BI the way analysts
now work: you learn each skill properly, then learn to use generative AI
to do it faster and check what it gives you.
14 WEEKS
8 MODULES
BEGINNER FRIENDLY
AI is taught inside every
tool, not bolted on at the
end
Most courses teach the tools first and add a “GenAI” week at the end. Here, each module teaches
the skill, then shows where an AI assistant genuinely helps and where it gets things wrong.
Skill first
You write the formula, the query and the code yourself before any AI shortcut. You can’t check AI output in a skill you don’t have.
Then speed it up
You use ChatGPT, Claude and Microsoft Copilot to draft formulas, SQL, Python and DAX, explain unfamiliar work and summarise results.
Always verify
Every AI step is followed by a check: test rows, row counts, a hand calculation. Employers want analysts whose numbers can be trusted.
Comprehensive Programme Curriculum
Eight modules in the order analysts actually use them. You work with one fictional business, Meridian Retail, throughout, so each module builds on the last. Select a module to see what’s in it.
CMOS ASIC Design Flow
MOS Device Physics
CMOS Inverter
Combinational and Sequential Logic Gates
Introduction to Linux
Scripting VLSI
VLSI Design Flow
RTL Coding and Design Styles
Logic Synthesis Concepts and Optimization
Static Timing Analysis and Timing Concepts
Power-Aware Synthesis
CMOS ASIC Design Flow
MOS Device Physics
CMOS Inverter
Combinational and Sequential Logic Gates
Introduction to Linux
Scripting VLSI
VLSI Design Flow
RTL Coding and Design Styles
Logic Synthesis Concepts and Optimization
Static Timing Analysis and Timing Concepts
Power-Aware Synthesis
ANALYTICS FOUNDATION ACADEMY
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Program
Master the future of technology with our Data Analytics & AI Course designed to build real-world skills in data analysis, artificial intelligence, and business insights. Gain hands-on experience, industry-recognized certification, and dedicated placement assistance to kickstart your successful career in the tech industry.
Expert Guidance
Learn from Industry Professionals
Practical Training
Work on Live Industry Projects
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Tools &
Gain practical, job-ready skills with hands-on training using modern industry tools and real-world projects.
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By the end of the course
you'll be able to
- Clean, analyse and report on business data in Excel, including Power Query and pivots
- Choose and interpret basic statistical tests, and explain the result to non-specialists
- Build interactive Power BI dashboards with a sound data model and DAX
- Query relational databases in MySQL, from joins to window functions
- Clean, analyse and chart data in Python with pandas
- Use generative AI to speed up each of these, and check its output before it reaches anyone else
Who it's for, and how it runs
Built for people starting or restarting a career in data, and for working professionals
who want to do more with the data they already handle.
This course suits you if you are
- A graduate aiming for a data analyst or business analyst role
- A working professional moving into analytics from finance, sales, operations or HR
- An Excel user who wants to add SQL, Python and Power BI
- A team lead who needs to produce and question reports with confidence
What you need before you start
- Comfort using a computer and basic school maths
- No coding experience
- A laptop that can run Excel and Power BI Desktop (Windows recommended)
Course format
Duration
14 weeks, about 10 hours a week
Mode
[Live online / classroom / hybrid]
Schedule
[Weekday evenings or weekends]
Batch size
[Up to 25 learners]
Support
[Doubt-clearing sessions and mentor review of every project]
Certificate
[Analytics Foundation certificate on completing the capstone]
Next batch
[Start date]
- OUR HIRING PARTNER
Frequently Asked Questions
Yes. Python starts from the very beginning in module 5, and by then you’ll already have spent several weeks thinking in rows, columns and queries through Excel and SQL, which makes the move to code much easier.
No. The free versions of ChatGPT and Claude cover almost everything on the course. Copilot features in Excel and Power BI need a Microsoft licence; we demonstrate them in class, and every exercise has a route that works without one.
Because AI output is often nearly right, and nearly right is the dangerous kind of wrong. Employers hire analysts who can read, test and fix what an AI produces. That needs the underlying skill.
Knowing whether a pattern is real shapes every analysis that follows. Learning it early in Excel, where you can see every calculation, means you apply it naturally when you move to code.
A capstone project on GitHub covering all five tools, a live Power BI dashboard, and smaller projects from each module. [Add any placement or career support you offer here.]
[Recordings are shared after every session, and you can bring questions to the next doubt-clearing slot.]
Talk to us about the next batch
Tell us where you’re starting from. We’ll call you back, walk you through the course and tell you honestly whether it suits your goals.