Data Analytics
Turn raw data into decisions — from spreadsheets to dashboards.
Overview
Every industry runs on data, and every team needs people who can turn numbers into decisions. This course takes you from foundational statistics through to building interactive dashboards that stakeholders actually use.
You'll work with real, messy datasets — cleaning, analyzing, and visualizing them — so you graduate ready to plug into any analytics team from day one.
What you'll learn
- Write SQL queries to extract and shape business data
- Clean and analyze datasets using Python and Pandas
- Build interactive dashboards in Power BI or Tableau
- Apply core statistics to draw sound conclusions from data
- Present data-driven insights clearly to non-technical stakeholders
Curriculum
5 modules • 17 lessons • 10 weeks
Module 1: Analytics Foundations
The core statistical thinking behind every analysis.
- Descriptive statistics
- Data types & distributions
- Excel & Google Sheets for analysis
Module 2: SQL for Analysts
Query and shape data directly from the source.
- SELECT, JOIN & GROUP BY
- Window functions
- Writing efficient queries
- Working with real databases
Module 3: Python for Data Analysis
Automate analysis at scale.
- Python fundamentals
- Pandas & NumPy
- Data cleaning
- Exploratory data analysis
Module 4: Data Visualization & Dashboards
Communicate findings clearly to any audience.
- Visualization principles
- Power BI / Tableau basics
- Building interactive dashboards
Module 5: Capstone Project
Analyze a real dataset end-to-end and present your findings.
- Problem framing
- End-to-end analysis
- Stakeholder presentation
Projects & Case Studies
This course's project gallery is still in development — check back soon.
Requirements
- A laptop (Windows, macOS, or Linux)
- Basic comfort with spreadsheets
- No coding experience required
Frequently asked questions
Do I need a math or statistics background?
No advanced math background is required — we build up the statistics you need from the ground up.
Is this course only for people switching into tech?
Not at all. Many students use data analytics skills to grow in their current role, in any industry.
What tools will I actually use?
You will work with SQL, Python (Pandas), and a modern BI tool like Power BI or Tableau — the same tools used on the job.
