Data Analysis

Module 1 · 0/4 done · 69 min

Data Thinking & the Analyst Mindset

What data analysis really is, the questions that drive it, types of data, and how a professional analyst approaches a problem.

Module 2 · 0/4 done · 74 min

Spreadsheets: Formulas, Cleaning & Pivot Tables

Master the analyst's everyday tool: formulas, functions, lookups, cleaning messy data, and summarising with pivot tables and charts.

Module 3 · 0/4 done · 75 min

SQL: Querying Databases

The language for asking questions of databases: selecting, filtering, sorting, aggregating with GROUP BY, and combining tables with JOINs.

Module 4 · 0/4 done · 72 min

Python & pandas Basics

Why analysts use Python, the essentials you need, and getting started with pandas DataFrames: loading, inspecting, selecting and summarising data.

Module 5 · 0/4 done · 72 min

Cleaning & Preparing Data with pandas

The analyst's biggest job: handling missing values, duplicates, wrong types, inconsistent text and outliers so your data is trustworthy.

Module 6 · 0/4 done · 72 min

Exploratory Analysis & Statistics

Understand data before concluding: descriptive statistics, distributions, relationships and correlation, and the basics of drawing sound inferences.

Module 7 · 0/4 done · 71 min

Visualisation & Dashboards

Turn analysis into clear pictures: choosing the right chart, designing honestly, building with tools, and assembling dashboards people actually use.

Module 8 · 0/4 done · 72 min

End-to-End Projects, Storytelling & Career

Put it all together: run a full analysis project, tell a compelling data story, build a portfolio, and launch your data analysis career.