Introduction to Python for Data Analysis
Python has become a leading tool for analysing data at scale. This hands-on course introduces the language and its core data libraries, taking participants from the basics to working with real data sets.
Course outline
What this programme covers, module by module.
- 01Writing basic Python for everyday data tasks
- 02Loading and inspecting data sets with pandas
- 03Cleaning and transforming data programmatically
- 04Summarising and grouping data to surface insight
- 05Creating exploratory charts with matplotlib
- 06Automating repetitive analysis and reporting tasks
- 07Reading and writing common file formats such as CSV and Excel
What you will gain
- Write basic Python for data tasks
- Load and inspect data with pandas
- Clean and transform data programmatically
- Summarise and group data for insight
- Create charts to explore data
- Automate repetitive analysis tasks
Who should attend
- Analysts moving beyond spreadsheets
- Reporting and business intelligence staff
- Technical professionals handling data
- Anyone starting with Python for analytics
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 26 to 30 Oct 2026 | London | 5 Days | US$1,800 | |
| 16 to 20 Nov 2026 | Dubai | 5 Days | US$1,800 | |
| 7 to 11 Dec 2026 | Pretoria | 5 Days | R18,000 | |
| 11 to 15 Jan 2027 | Durban | 5 Days | R18,000 | |
| 8 to 12 Feb 2027 | Cape Town | 5 Days | R18,000 | |
| 12 to 16 Apr 2027 | Johannesburg | 5 Days | R18,000 | |
| 14 to 18 Jun 2027 | London | 5 Days | US$1,800 |
Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.
Enquire about this course
Register your team or ask for a tailored in-house quote. We reply within one working day.
WhatsApp usCourse brochure (PDF)- Fees from
- R18,000 per delegate
- Duration
- 5 Days
- Field
- Data & Analytics
- Formats
- In-house, public, online
More in Data & Analytics
Data Analysis and Visualisation with Excel
Excel remains the most widely used analysis tool in business, and few use it to its full potential. This course takes participants beyond basic formulas into structured analysis, PivotTables, and clear charts that reveal what the numbers mean.
Power BI for Business Intelligence and Reporting
Power BI turns scattered data into interactive reports that decision-makers can explore for themselves. This course guides participants from connecting data sources through building models to publishing dashboards that stay current.
Introduction to Data Analytics for Decision Making
This course demystifies data analytics for professionals who need to use data but are not specialists. Participants learn how to ask the right questions, interpret results, and use evidence to support better decisions.