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AI-POWERED DATA ANALYST PROGRAMME

Become the Data Analyst Employers Are Actually Hiring For

A thirteen-week, live mentor-led path through SQL, Python, Power BI, statistics and AI copilots — built around what analyst job postings ask for right now, not a fixed textbook syllabus.

13 WEEKS
65 SESSIONS
MON-FRI · 1.5 HRS/DAY
OUTCOMES

What you'll be able to do

SQLPythonPower BIStatisticsAI CopilotsGit & GitHub
THE PATH

What you'll cover, week by week

01

FoundationsWeek 1

Excel, Power Query and the analyst's workflow end to end.

02

Statistics for AnalystsWeeks 2-3

Descriptive stats, probability and hypothesis testing, applied.

03

SQL, in depthWeeks 4-6

Joins, subqueries, CTEs, window functions and query performance.

04

Python for AnalysisWeeks 7-9

pandas, cleaning, exploratory analysis and light automation.

05

Power BI and DashboardsWeeks 10-11

Data modelling, DAX, and publishing to Power BI Service.

06

AI-Assisted AnalyticsWeek 12

Using AI copilots to speed up querying, scripting and reporting.

07

Capstone ProjectWeek 13

One dataset, start to finish — from a choice of six real-world tracks.

Aravind Reddy Dudipala
Taught personally by Aravind Reddy Dudipala

Senior Data Scientist & AI/ML Programme Leader, 11 years of experience. Instructor at Berkeley Haas and Imperial College Business School. Every batch — up to 50 learners — taught live, session by session.

CAPSTONE

Choose a project in your own domain

Every learner finishes with a deployed, portfolio-ready project — not a certificate for finishing videos.

TRACK 01E-commerce sales analysis
TRACK 02Digital payments fraud detection
TRACK 03Retail demand planning
TRACK 04Marketing campaign ROI
TRACK 05Hospital readmission risk
TRACK 06Sports performance analytics
FREE DOWNLOAD

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Full curriculum, week-by-week session plan, capstone tracks and mentor details — sent straight to your inbox and available to download immediately.

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