Capacity Developers for Africa
Research, Data Analysis & Statistics Training Courses

Advanced Industrial Analytics: Intelligent Data Modeling, Predictive Manufacturing Insights And Operational Performance Optimization Training Course

5 or 10 days Public or in-house On-site or online

Course overview

This CDFA short course on Advanced Industrial Analytics: Intelligent Data Modeling, Predictive Manufacturing Insights And Operational Performance Optimization 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 organisation’s 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 – Friday)

Start DateEnd DateDuration
Mon, 5 Oct 2026Fri, 9 Oct 20265 daysRegister
Mon, 12 Oct 2026Fri, 16 Oct 20265 daysRegister
Mon, 19 Oct 2026Fri, 23 Oct 20265 daysRegister
Mon, 26 Oct 2026Fri, 30 Oct 20265 daysRegister
Mon, 2 Nov 2026Fri, 6 Nov 20265 daysRegister
Mon, 9 Nov 2026Fri, 13 Nov 20265 daysRegister
Mon, 16 Nov 2026Fri, 20 Nov 20265 daysRegister
Mon, 23 Nov 2026Fri, 27 Nov 20265 daysRegister
Mon, 30 Nov 2026Fri, 4 Dec 20265 daysRegister
Mon, 7 Dec 2026Fri, 11 Dec 20265 daysRegister
Mon, 14 Dec 2026Fri, 18 Dec 20265 daysRegister
Mon, 21 Dec 2026Fri, 25 Dec 20265 daysRegister
Mon, 28 Dec 2026Fri, 1 Jan 20275 daysRegister
Mon, 4 Jan 2027Fri, 8 Jan 20275 daysRegister
Mon, 11 Jan 2027Fri, 15 Jan 20275 daysRegister
Mon, 18 Jan 2027Fri, 22 Jan 20275 daysRegister
Mon, 25 Jan 2027Fri, 29 Jan 20275 daysRegister
Mon, 1 Feb 2027Fri, 5 Feb 20275 daysRegister
Mon, 8 Feb 2027Fri, 12 Feb 20275 daysRegister
Mon, 15 Feb 2027Fri, 19 Feb 20275 daysRegister
Mon, 22 Feb 2027Fri, 26 Feb 20275 daysRegister
Mon, 1 Mar 2027Fri, 5 Mar 20275 daysRegister
Mon, 8 Mar 2027Fri, 12 Mar 20275 daysRegister
Mon, 15 Mar 2027Fri, 19 Mar 20275 daysRegister
Mon, 22 Mar 2027Fri, 26 Mar 20275 daysRegister
Mon, 29 Mar 2027Fri, 2 Apr 20275 daysRegister
Mon, 5 Apr 2027Fri, 9 Apr 20275 daysRegister
Mon, 12 Apr 2027Fri, 16 Apr 20275 daysRegister
Mon, 19 Apr 2027Fri, 23 Apr 20275 daysRegister
Mon, 26 Apr 2027Fri, 30 Apr 20275 daysRegister
Mon, 3 May 2027Fri, 7 May 20275 daysRegister
Mon, 10 May 2027Fri, 14 May 20275 daysRegister
Mon, 17 May 2027Fri, 21 May 20275 daysRegister
Mon, 24 May 2027Fri, 28 May 20275 daysRegister
Mon, 31 May 2027Fri, 4 Jun 20275 daysRegister
Mon, 7 Jun 2027Fri, 11 Jun 20275 daysRegister
Mon, 14 Jun 2027Fri, 18 Jun 20275 daysRegister
Mon, 21 Jun 2027Fri, 25 Jun 20275 daysRegister
Mon, 28 Jun 2027Fri, 2 Jul 20275 daysRegister
Mon, 5 Jul 2027Fri, 9 Jul 20275 daysRegister
Mon, 12 Jul 2027Fri, 16 Jul 20275 daysRegister
Mon, 19 Jul 2027Fri, 23 Jul 20275 daysRegister
Mon, 26 Jul 2027Fri, 30 Jul 20275 daysRegister
Mon, 2 Aug 2027Fri, 6 Aug 20275 daysRegister
Mon, 9 Aug 2027Fri, 13 Aug 20275 daysRegister
Mon, 16 Aug 2027Fri, 20 Aug 20275 daysRegister
Mon, 23 Aug 2027Fri, 27 Aug 20275 daysRegister
Mon, 30 Aug 2027Fri, 3 Sep 20275 daysRegister
Mon, 6 Sep 2027Fri, 10 Sep 20275 daysRegister
Mon, 13 Sep 2027Fri, 17 Sep 20275 daysRegister
Mon, 20 Sep 2027Fri, 24 Sep 20275 daysRegister
Mon, 27 Sep 2027Fri, 1 Oct 20275 daysRegister

2-week training (10 days, Monday – Friday of the second week)

Start DateEnd DateDuration
Mon, 5 Oct 2026Fri, 16 Oct 202610 daysRegister
Mon, 19 Oct 2026Fri, 30 Oct 202610 daysRegister
Mon, 2 Nov 2026Fri, 13 Nov 202610 daysRegister
Mon, 16 Nov 2026Fri, 27 Nov 202610 daysRegister
Mon, 30 Nov 2026Fri, 11 Dec 202610 daysRegister
Mon, 14 Dec 2026Fri, 25 Dec 202610 daysRegister
Mon, 28 Dec 2026Fri, 8 Jan 202710 daysRegister
Mon, 11 Jan 2027Fri, 22 Jan 202710 daysRegister
Mon, 25 Jan 2027Fri, 5 Feb 202710 daysRegister
Mon, 8 Feb 2027Fri, 19 Feb 202710 daysRegister
Mon, 22 Feb 2027Fri, 5 Mar 202710 daysRegister
Mon, 8 Mar 2027Fri, 19 Mar 202710 daysRegister
Mon, 22 Mar 2027Fri, 2 Apr 202710 daysRegister
Mon, 5 Apr 2027Fri, 16 Apr 202710 daysRegister
Mon, 19 Apr 2027Fri, 30 Apr 202710 daysRegister
Mon, 3 May 2027Fri, 14 May 202710 daysRegister
Mon, 17 May 2027Fri, 28 May 202710 daysRegister
Mon, 31 May 2027Fri, 11 Jun 202710 daysRegister
Mon, 14 Jun 2027Fri, 25 Jun 202710 daysRegister
Mon, 28 Jun 2027Fri, 9 Jul 202710 daysRegister
Mon, 12 Jul 2027Fri, 23 Jul 202710 daysRegister
Mon, 26 Jul 2027Fri, 6 Aug 202710 daysRegister
Mon, 9 Aug 2027Fri, 20 Aug 202710 daysRegister
Mon, 23 Aug 2027Fri, 3 Sep 202710 daysRegister
Mon, 6 Sep 2027Fri, 17 Sep 202710 daysRegister
Mon, 20 Sep 2027Fri, 1 Oct 202710 daysRegister

Related Research, Data Analysis & Statistics Training Courses courses

View all Research, Data Analysis & Statistics Training Courses courses →

Frequently asked questions

How long is the Advanced Industrial Analytics: Intelligent Data Modeling, Predictive Manufacturing Insights And Operational Performance Optimization Training Course course?+

The Advanced Industrial Analytics: Intelligent Data Modeling, Predictive Manufacturing Insights And Operational Performance Optimization 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 Advanced Industrial Analytics: Intelligent Data Modeling, Predictive Manufacturing Insights And Operational Performance Optimization 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 Advanced Industrial Analytics: Intelligent Data Modeling, Predictive Manufacturing Insights And Operational Performance Optimization 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 Advanced Industrial Analytics: Intelligent Data Modeling, Predictive Manufacturing Insights And Operational Performance Optimization Training Course be delivered as in-house training?+

Yes. CDFA can tailor Advanced Industrial Analytics: Intelligent Data Modeling, Predictive Manufacturing Insights And Operational Performance Optimization 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 Advanced Industrial Analytics: Intelligent Data Modeling, Predictive Manufacturing Insights And Operational Performance Optimization 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

Johannesburg, South AfricaPretoria, South AfricaDurban, South AfricaCape Town, South AfricaNairobi, KenyaKigali, RwandaDar es Salaam, TanzaniaZanzibar, TanzaniaKampala, UgandaAddis Ababa, EthiopiaAccra, GhanaLagos, NigeriaVictoria Falls, ZimbabweGaborone, BotswanaVictoria, SeychellesDubai, UAELondon, United KingdomSingaporeKuala Lumpur, Malaysia

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.

WhatsApp +27 72 064 3082Contact the team