Data
Data Analysis
A beginner-friendly data analysis program that teaches you to program with Python, manipulate numerical and tabular data, create insightful visualisations, and complete a real-world exploratory data analysis project.
- Duration
- 8 weeks
- Level
- Beginner
- Modules
- 10
Outcomes
What you'll learn
- Write Python programs to solve data problems
- Manipulate multi-dimensional arrays with NumPy
- Clean, query, and aggregate tabular data with Pandas
- Create informative charts with Matplotlib and Seaborn
- Complete an end-to-end exploratory data analysis on a real dataset
- Communicate findings clearly through notebooks and visualisations
Prerequisites
- No prior programming experience required
- Comfort with spreadsheets and basic arithmetic
Tools & technologies
- Python
- Jupyter
- NumPy
- Pandas
- Matplotlib
- Seaborn
Learning format
Live online sessions, twice weekly, plus recorded replays. Expect 5–7 hours per week, including live sessions, guided practice and project work reviewed by the instructor.
Curriculum
10 modules, in sequence
Expand a module to see its topics, project and estimated duration.
What you will build
Learn by building.
Each project produces working software you can run, explain and show to an employer.
Analysis notebook
A reproducible Jupyter notebook answering defined questions on a real-world dataset.
- Jupyter
- NumPy
- Pandas
Someone else can rerun your analysis and get your numbers.
Data visualisation report
A set of focused charts and a written narrative explaining findings from a real dataset.
- Matplotlib
- Seaborn
Your findings are readable by a non-technical audience.
Instructor
Who is teaching this program
We publish instructor profiles rather than anonymous mentor cards. The named instructor for the next cohort of this program is confirmed before enrolment — ask an advisor and we will tell you exactly who will teach you and what their background is.
FAQ
Before you enrol
The answers that matter most for this program. The full list is on the homepage.
Ready to build your next skill?
Speak with an advisor and find the learning path that matches your current skills, goals and experience. If none of our programs fit, we will tell you that too.