Ngo Stata For Data Analysis Mastery: Advanced Statistical Computing For Development Research Training Course
Course overview
This CDFA short course on Ngo Stata For Data Analysis Mastery: Advanced Statistical Computing For Development Research Training Course combines practical frameworks, facilitated discussion and real case work so participants return to the workplace ready to apply what they have learned. Content is reviewed for every cohort and can be tailored to your organisationโs context, systems and policy environment.
What participants gain
- A working command of the core concepts, standards and tools covered in the programme
- Templates, checklists and job aids to apply immediately on return to work
- Facilitated practice through exercises, case studies and peer discussion
- A CDFA certificate of completion on successful attendance
Who should attend
Officers, specialists, managers and team leaders working in research, data analysis & statistics training courses within government, parastatals, NGOs, development partners and the private sector.
Training calendar
5-day training (Monday โ Friday)
| Start Date | End Date | Duration | |
|---|---|---|---|
| Mon, 5 Oct 2026 | Fri, 9 Oct 2026 | 5 days | Register |
| Mon, 12 Oct 2026 | Fri, 16 Oct 2026 | 5 days | Register |
| Mon, 19 Oct 2026 | Fri, 23 Oct 2026 | 5 days | Register |
| Mon, 26 Oct 2026 | Fri, 30 Oct 2026 | 5 days | Register |
| Mon, 2 Nov 2026 | Fri, 6 Nov 2026 | 5 days | Register |
| Mon, 9 Nov 2026 | Fri, 13 Nov 2026 | 5 days | Register |
| Mon, 16 Nov 2026 | Fri, 20 Nov 2026 | 5 days | Register |
| Mon, 23 Nov 2026 | Fri, 27 Nov 2026 | 5 days | Register |
| Mon, 30 Nov 2026 | Fri, 4 Dec 2026 | 5 days | Register |
| Mon, 7 Dec 2026 | Fri, 11 Dec 2026 | 5 days | Register |
| Mon, 14 Dec 2026 | Fri, 18 Dec 2026 | 5 days | Register |
| Mon, 21 Dec 2026 | Fri, 25 Dec 2026 | 5 days | Register |
| Mon, 28 Dec 2026 | Fri, 1 Jan 2027 | 5 days | Register |
| Mon, 4 Jan 2027 | Fri, 8 Jan 2027 | 5 days | Register |
| Mon, 11 Jan 2027 | Fri, 15 Jan 2027 | 5 days | Register |
| Mon, 18 Jan 2027 | Fri, 22 Jan 2027 | 5 days | Register |
| Mon, 25 Jan 2027 | Fri, 29 Jan 2027 | 5 days | Register |
| Mon, 1 Feb 2027 | Fri, 5 Feb 2027 | 5 days | Register |
| Mon, 8 Feb 2027 | Fri, 12 Feb 2027 | 5 days | Register |
| Mon, 15 Feb 2027 | Fri, 19 Feb 2027 | 5 days | Register |
| Mon, 22 Feb 2027 | Fri, 26 Feb 2027 | 5 days | Register |
| Mon, 1 Mar 2027 | Fri, 5 Mar 2027 | 5 days | Register |
| Mon, 8 Mar 2027 | Fri, 12 Mar 2027 | 5 days | Register |
| Mon, 15 Mar 2027 | Fri, 19 Mar 2027 | 5 days | Register |
| Mon, 22 Mar 2027 | Fri, 26 Mar 2027 | 5 days | Register |
| Mon, 29 Mar 2027 | Fri, 2 Apr 2027 | 5 days | Register |
| Mon, 5 Apr 2027 | Fri, 9 Apr 2027 | 5 days | Register |
| Mon, 12 Apr 2027 | Fri, 16 Apr 2027 | 5 days | Register |
| Mon, 19 Apr 2027 | Fri, 23 Apr 2027 | 5 days | Register |
| Mon, 26 Apr 2027 | Fri, 30 Apr 2027 | 5 days | Register |
| Mon, 3 May 2027 | Fri, 7 May 2027 | 5 days | Register |
| Mon, 10 May 2027 | Fri, 14 May 2027 | 5 days | Register |
| Mon, 17 May 2027 | Fri, 21 May 2027 | 5 days | Register |
| Mon, 24 May 2027 | Fri, 28 May 2027 | 5 days | Register |
| Mon, 31 May 2027 | Fri, 4 Jun 2027 | 5 days | Register |
| Mon, 7 Jun 2027 | Fri, 11 Jun 2027 | 5 days | Register |
| Mon, 14 Jun 2027 | Fri, 18 Jun 2027 | 5 days | Register |
| Mon, 21 Jun 2027 | Fri, 25 Jun 2027 | 5 days | Register |
| Mon, 28 Jun 2027 | Fri, 2 Jul 2027 | 5 days | Register |
| Mon, 5 Jul 2027 | Fri, 9 Jul 2027 | 5 days | Register |
| Mon, 12 Jul 2027 | Fri, 16 Jul 2027 | 5 days | Register |
| Mon, 19 Jul 2027 | Fri, 23 Jul 2027 | 5 days | Register |
| Mon, 26 Jul 2027 | Fri, 30 Jul 2027 | 5 days | Register |
| Mon, 2 Aug 2027 | Fri, 6 Aug 2027 | 5 days | Register |
| Mon, 9 Aug 2027 | Fri, 13 Aug 2027 | 5 days | Register |
| Mon, 16 Aug 2027 | Fri, 20 Aug 2027 | 5 days | Register |
| Mon, 23 Aug 2027 | Fri, 27 Aug 2027 | 5 days | Register |
| Mon, 30 Aug 2027 | Fri, 3 Sep 2027 | 5 days | Register |
| Mon, 6 Sep 2027 | Fri, 10 Sep 2027 | 5 days | Register |
| Mon, 13 Sep 2027 | Fri, 17 Sep 2027 | 5 days | Register |
| Mon, 20 Sep 2027 | Fri, 24 Sep 2027 | 5 days | Register |
| Mon, 27 Sep 2027 | Fri, 1 Oct 2027 | 5 days | Register |
2-week training (10 days, Monday โ Friday of the second week)
| Start Date | End Date | Duration | |
|---|---|---|---|
| Mon, 5 Oct 2026 | Fri, 16 Oct 2026 | 10 days | Register |
| Mon, 19 Oct 2026 | Fri, 30 Oct 2026 | 10 days | Register |
| Mon, 2 Nov 2026 | Fri, 13 Nov 2026 | 10 days | Register |
| Mon, 16 Nov 2026 | Fri, 27 Nov 2026 | 10 days | Register |
| Mon, 30 Nov 2026 | Fri, 11 Dec 2026 | 10 days | Register |
| Mon, 14 Dec 2026 | Fri, 25 Dec 2026 | 10 days | Register |
| Mon, 28 Dec 2026 | Fri, 8 Jan 2027 | 10 days | Register |
| Mon, 11 Jan 2027 | Fri, 22 Jan 2027 | 10 days | Register |
| Mon, 25 Jan 2027 | Fri, 5 Feb 2027 | 10 days | Register |
| Mon, 8 Feb 2027 | Fri, 19 Feb 2027 | 10 days | Register |
| Mon, 22 Feb 2027 | Fri, 5 Mar 2027 | 10 days | Register |
| Mon, 8 Mar 2027 | Fri, 19 Mar 2027 | 10 days | Register |
| Mon, 22 Mar 2027 | Fri, 2 Apr 2027 | 10 days | Register |
| Mon, 5 Apr 2027 | Fri, 16 Apr 2027 | 10 days | Register |
| Mon, 19 Apr 2027 | Fri, 30 Apr 2027 | 10 days | Register |
| Mon, 3 May 2027 | Fri, 14 May 2027 | 10 days | Register |
| Mon, 17 May 2027 | Fri, 28 May 2027 | 10 days | Register |
| Mon, 31 May 2027 | Fri, 11 Jun 2027 | 10 days | Register |
| Mon, 14 Jun 2027 | Fri, 25 Jun 2027 | 10 days | Register |
| Mon, 28 Jun 2027 | Fri, 9 Jul 2027 | 10 days | Register |
| Mon, 12 Jul 2027 | Fri, 23 Jul 2027 | 10 days | Register |
| Mon, 26 Jul 2027 | Fri, 6 Aug 2027 | 10 days | Register |
| Mon, 9 Aug 2027 | Fri, 20 Aug 2027 | 10 days | Register |
| Mon, 23 Aug 2027 | Fri, 3 Sep 2027 | 10 days | Register |
| Mon, 6 Sep 2027 | Fri, 17 Sep 2027 | 10 days | Register |
| Mon, 20 Sep 2027 | Fri, 1 Oct 2027 | 10 days | Register |
Related Research, Data Analysis & Statistics Training Courses courses
- Ngo Women Economic Empowerment Training Course
- No-code/low-code Analytics Platforms: Empower All Users Training Course
- Non-linear Time Series Econometrics In Practice Training Course
- Nonparametric Statistical Methods Training Course: Mastering Robust Analysis Techniques For Real-world Data Challenges
- Nosql And Unstructured Data Analysis Training Course: Mastering Scalable Data Models For Modern Analytics
- Nosql Databases
- Nosql Databases (cassandra, Mongodb) Training Course: Non-relational Data Mastery
- Nosql Databases In Business Intelligence Training Course: Unlocking Scalable And Flexible Data Insights
Frequently asked questions
How long is the Ngo Stata For Data Analysis Mastery: Advanced Statistical Computing For Development Research Training Course course?+
The Ngo Stata For Data Analysis Mastery: Advanced Statistical Computing For Development Research Training Course course runs as a 5-day (Monday to Friday) programme or an extended 10-day (two-week) programme. Choose the option that suits your team's schedule.
Where is Ngo Stata For Data Analysis Mastery: Advanced Statistical Computing For Development Research Training Course training held?+
Public sessions run in venues including Johannesburg, South Africa, Pretoria, South Africa, Durban, South Africa, Cape Town, South Africa, Nairobi, Kenya, Kigali, Rwanda, Dar es Salaam, Tanzania, Zanzibar, Tanzania and more. The course is also available online or as in-house training at your premises.
Who should attend Ngo Stata For Data Analysis Mastery: Advanced Statistical Computing For Development Research Training Course?+
Officers, specialists, managers and team leaders working in research, data analysis & statistics training courses in government, parastatals, NGOs, development partners and the private sector.
Can Ngo Stata For Data Analysis Mastery: Advanced Statistical Computing For Development Research Training Course be delivered as in-house training?+
Yes. CDFA can tailor Ngo Stata For Data Analysis Mastery: Advanced Statistical Computing For Development Research Training Course to your organisation's context and deliver it at your offices, a venue of your choice, or online for your team.
Will I receive a certificate?+
Yes. Participants who successfully attend receive a CDFA certificate of completion.
How do I register or get fees for Ngo Stata For Data Analysis Mastery: Advanced Statistical Computing For Development Research Training Course?+
Choose a date in the training calendar and click Register, message us on WhatsApp at +27 72 064 3082, call +27 10 500 0903 or email training@trainingcdfa.com for dates and fees.
Training venues
Ready when you are
Request dates, fees and registration
Public courses, in-house programmes and education tours delivered in Johannesburg, Pretoria, Nairobi, Kigali, Dar es Salaam, Kampala, Addis Ababa, Accra, Lagos, Dubai, London, Singapore, Kuala Lumpur and more.