Today's work environment requires individuals to be skilled in performing complex tasks in an efficient, cost-effective, and safe manner. Training (a performance improvement tool) is needed when individuals are not performing up to a certain standard or at an expected level of performance. The difference between actual the actual level of job performance and the expected level of job performance indicates a need for training.

Our statistical programmes are intended for individuals desiring knowledge of research processes and the analysis of data. The guidance we offer enables individuals who lack expertise in the field of data analytics and business development to decipher research previously published and develop their own study.

Our introductory option does not require any understanding or experience of statistics in advance, though it is expected that participants will be aware of the essential elements for the other courses offered.

Guidance is distributed for all the sessions we offer, and instruction from the teacher is combined with workable case studies and tasks during the program so as to verify that the most important aspects have been comprehended. We aim to establish a relaxed course environment, where those attending feel encouraged to request clarification or pose questions. Our programmes are designed for individuals across different functions who are interested  in implementing analytics projects at their organisation, and provides them with the techniques needed to transform their organisation into one that is driven by data.

Machine learning (ML) and artificial intelligence (AI) are pushing the limits of possibility and transforming the world around us. Today, to stay ahead of the curve and seize opportunities for innovation, businesses are quickly realising they must anticipate future trends in ML and AI – and to do so, they must engage professionals who can bridge the gap between vision and execution.

CSD provide training in different subjects such as:

  1. Research methods.

  2. Data analytics.

  3. Predictive modelling using R, Python, SPSS, STATA and MATLAB.

  4. Machine learning using R and Python.

  5. Project management programme.

  6. Artificial intelligence (AI).

  7. Business Solutions.

When the course is successfully concluded, a certificate will be supplied to verify this.