A project-based curriculum that takes you from your first spreadsheet to AI-powered analysis, interview preparation and internship placement.
8 Modules 3 Learning Formats No Prerequisites · Laptop Required
Program Options
Choose your learning format
Every option covers the same 8-module curriculum.
Most PopularWeekend Live Classes
Online Class (Instructor-Led)
Structured online classes taught live by an instructor every weekend, following the full curriculum as a class.
Live weekend classes with an instructor
All 8 curriculum modules
Hands-on projects and assignments
Interview preparation and job support
Internship placement opportunities
Certificate of Completion
Learn at Your Own Pace
Self-Paced Class with Follow-Up
Study on your own schedule with full access to the learning materials, a classbook, and follow-up support to keep you on track.
Full access to all 8 curriculum modules
Recorded lessons, classbook and practice files
Follow-up support to help you stay on track
Internship placement opportunities
Certificate of Completion
Does not include live classes or live Q&A sessions.
30 Hours
One-on-One Class
A personalised learning experience with a dedicated personal coach, tailored to your learning needs and pace.
A dedicated personal coach
Training tailored to your needs and pace
Duration: 30 hours
Internship placement opportunities
Certificate of Completion
Prerequisites
No prior experience or prerequisite skills are required.
However, students are required to have access to a laptop for the training.
Complete Syllabus
8 Learning Modules
Taken in this order, each module builds on the one before.
Understand the business context behind data. Learn how organisations use data, the key metrics and KPIs that matter, and how to turn numbers into clear recommendations.
Key skills taught
How Organisations Use Data to Make Decisions
Core Business Metrics (CAC, LTV, Churn, ROI)
Identifying Data Anomalies & Trends
Data Storytelling & Executive Presentations
Formulating Data-Driven Recommendations
Get comfortable with the tool every analyst uses daily. Learn to navigate workbooks, write your first formulas, and organise raw data so it is ready for analysis.
Key skills taught
Navigating Workbooks, Cells & Ranges
Essential Formulas (SUM, AVERAGE, IF, COUNTIF)
Sorting, Filtering & Basic Data Cleaning
Formatting Tables & Creating Simple Charts
Master business intelligence visualisation. Learn to import datasets, build star schema data models, write DAX calculations, and publish dynamic executive dashboards.
Key skills taught
Power Query ETL & Data Transformation
Data Modeling & Relationships (Star Schema)
Calculated Columns & DAX Measures
Building Executive Dashboards & Filters
Power BI Service & Workspace Publishing
Take Excel further with advanced lookup functions, pivot tables, dynamic arrays, and Power Query data cleaning to produce automated reports.
Key skills taught
XLOOKUP, INDEX/MATCH & Nested Logic
Pivot Tables & Pivot Charts
Power Query ETL in Excel
Data Validation & Conditional Formatting
Automating Reports & Financial Summaries
Extract insights directly from databases. Write SQL queries to filter, join, aggregate, and analyse multi-table business databases.
Key skills taught
Relational Database Fundamentals & ER Diagrams
SELECT, WHERE, ORDER BY & GROUP BY
INNER, LEFT, RIGHT & FULL JOINs
Aggregate Functions & HAVING Clauses
Common Table Expressions (CTEs) & Subqueries
Use Python to clean, transform, and explore data at scale. Learn the pandas workflow analysts use to go from a messy dataset to clear insights and charts.
Key skills taught
Python Fundamentals for Analysts
Working in Jupyter Notebooks
Cleaning & Transforming Data with pandas
Exploratory Data Analysis & Summary Statistics
Data Visualisation with Matplotlib & Seaborn
Leverage AI tools like ChatGPT, Claude, and Copilot to write complex SQL, generate DAX formulas, automate data cleaning, and draft analytical reports.
Key skills taught
Prompt Engineering for Data Analytics
Using AI for SQL & DAX Generation
AI-Assisted Data Cleaning & Python Scripting
Extracting Insights & Summaries with LLMs
Translate your new skills into job offers. Build a portfolio, optimise your CV for applicant tracking systems, and prepare for technical data analyst interviews.
Key skills taught
Building a Standout Project Portfolio
Optimising Your CV & LinkedIn Profile
Technical Interview Questions & Case Studies
Job Application Strategy & Remote Career Paths
Networking & Internship Placement
Program Features
What you will get
Key Benefit
Internship Placement
Students have access to internship placement opportunities to gain practical, real-world experience and strengthen their professional portfolio.
Real-World Projects
Build dashboards and analyses on real business datasets that go straight into your portfolio.
AI-Powered Analytics
Use ChatGPT, Claude and Copilot to speed up everyday analysis, from SQL to reporting.
Interview & Job Preparation
CV and LinkedIn optimisation, portfolio building, and practice with real interview questions.
Flexible Learning Formats
Choose instructor-led weekend classes, self-paced learning with follow-up, or one-on-one coaching.
No Experience Required
No prior experience or prerequisite skills are required. All you need is access to a laptop.
Certificate of Completion
Complete your projects and assessments to earn a certificate you can share on LinkedIn and your CV.
Your data career starts with one application
Pick the format that fits your schedule. Our admissions advisor will help you with the rest.