Builder
Engineering
Available on request
Data Analysis with Python and AI
Stop waiting three weeks for a report someone else builds.
Messy data to a reproducible analysis a decision maker acts on, with AI speeding up the work but not doing the thinking.
- Duration
- 5.5 days, 32 contact hours
- Cohort size
- 10 to 16 participants
- Delivery
- In-house, Online, Blended
- Languages
- Arabic, English
Who it is for
Analysts, finance teams, researchers, government statistics units.
What people leave able to do
- Clean and reshape messy real-world data reliably
- Analyse and visualise data to answer a defined question
- Use AI to accelerate analysis without outsourcing the thinking
- Build a reproducible analysis others can check and rerun
- Present findings so a non-technical decision maker acts on them
Modules
- 01 pandas fundamentals
- 02 Cleaning messy data
- 03 Joining and reshaping
- 04 Exploratory analysis
- 05 Visualisation that communicates
- 06 Statistics you actually need
- 07 AI-assisted analysis and its failure modes
- 08 Reproducibility and notebooks
- 09 Arabic and bilingual data handling
- 10 Dashboards and reporting
- 11 Capstone: analyse a real organisational data set
Prerequisites
Level 1 Python or equivalent.
Start with a short call
Fifteen minutes to understand what your team does and what you want to change. If training is not the right answer, I will say so.