Data Analysis
Turn raw data into decisions — spreadsheets, SQL, visualization, and real business case studies.
Who is a Data Analyst?
A data analyst turns raw numbers into clear answers. They collect and clean data, look for patterns and present what they find in charts and dashboards, so managers and business owners can make better decisions.
What does a Data Analyst do?
- Collect data from spreadsheets, databases and business tools
- Clean data by fixing errors, duplicates and missing values
- Analyse data with Excel and SQL to find trends and patterns
- Build charts and dashboards that anyone can understand
- Answer business questions, such as why sales dropped or which product performs best
- Present findings and recommendations in plain language
Who This Program Is For
Whether you're starting from scratch or switching careers, this program is built for anyone serious about building a real, practical skill in 12 weeks — no prior experience required. You'll learn by doing, not just watching.
Full Curriculum
12 modules, built to take you from zero to job-ready.
Module 1 — Week 1: Thinking Like an Analyst
- The analyst mindset
- Framing a business question
- Data analysis workflow overview
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 2 — Week 2: Excel for Analysis
- Excel formulas & functions
- Pivot tables
- Data cleaning in Excel
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 3 — Week 3: Intro to SQL
- SQL fundamentals
- SELECT, WHERE & filtering
- Sorting and grouping data
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 4 — Week 4: SQL in Depth
- Joins across tables
- Aggregate functions
- Writing efficient queries
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 5 — Week 5: Data Cleaning Techniques
- Identifying messy data
- Cleaning & transforming datasets
- Handling missing data
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 6 — Week 6: Statistics for Analysts
- Descriptive statistics
- Understanding distributions
- Correlation vs causation
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 7 — Week 7: Working with Real Datasets
- Exploratory data analysis
- Spotting trends & outliers
- Drawing valid conclusions
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 8 — Week 8: Data Visualization
- Choosing the right chart
- Building dashboards
- Visual storytelling principles
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 9 — Week 9: Dashboard Tools
- Dashboard tool fundamentals
- Building an interactive dashboard
- Sharing insights with stakeholders
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 10 — Week 10: Business Case Studies
- Full business analysis project
- Translating data into decisions
- Presenting to non-technical teams
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 11 — Week 11: Career Readiness
- Building your analytics portfolio
- Interview & take-home test prep
- Freelancing as a data analyst
- Using AI tools (ChatGPT, Copilot for Excel) to speed up data cleaning, analysis and reporting
Module 12 — Week 12: Capstone Project
- Apply everything you've learned to a real, end-to-end project
- Using AI tools throughout your final project, where relevant
- Project presentation & review
- Portfolio-ready final deliverable
Where This Can Take You
Graduates of this program go on to roles like:
What's Next, After Learning?
TIM Internship
Join the Tech Skool Internship Market — a 3-month placement where you work with real brands and gain genuine, hands-on industry experience.
TSSR Research Network
Join our student research network — tackling real innovation challenges across industries, with work featured in global publications.
Common Questions
How do I apply?
Click Apply Now on the program you want, fill in the short registration form and submit it.
Are the 4-week courses really free?
Yes. All 4-week programs are free. Just complete the registration form — no payment is required.
I don't have a tech background — can I still do this?
Most of our students start with zero background in the field. The program is built to start from the basics and build up progressively, so no prior experience is required.
I'm worried about the time commitment.
Classes are scheduled flexibly, including evenings, so you can complete the program alongside work, school, or other commitments.
Will I actually get real experience, not just certificates?
Yes. Beyond the course itself, graduates can apply for TIM (our internship placement) for genuine, hands-on experience with real brands.
What support do I get after I complete the program?
Ongoing mentorship, CV and portfolio review, and job placement assistance — plus a strong chance of being retained by the brand you're attached to during your internship.