Data Management & Analysis
Using SPSS & STATA - DMA501

Gain the skills to become a professional data manager and analyst using two of the most used statistical analysis packages.

Training Overview

About the course: The course introduces learners to data management and analysis skills through usage of SPSS and Stata software. This hands-on and learner-centered training is intended for learners who have basic computer knowledge and wish to learn data management, research and statistical techniques using popular statistical packages. Among other skills, the training intends to introduce data file design & data entry; data manipulation & cleaning techniques and descriptive statistical analyses. The course will end with inferential analysis and record linkage in Stata. Dowload the course brochure here

   Course name Data Management & Analysis Using SPSS & STATA (DMA501)
   Delivery language(s) English
   Duration 3 days (29th - 31st January 2018)
   Pre-requisites IT skills & basic statistical knowledge
   Requirements Bring your own laptop
   Deliverables Certificates, Training Materials & Software
   Venue Lingadzi Inn & Lilongwe, Malawi
   Fees MK120,000.00 (Two installments allowed, with at least half as first installment)
   Pay via:
  • NBS Bank, Acc.Name: Bintel Analytics, Acc.#: 17467824, Ginnery Corner, Current.
  • National Bank MO626 - 1072595


Bryan C. Mthiko - MSc Health Informatics, BSc MAT Sciences Education (Statistics & Computing)

Malango Msukwa - MSc Public Health (Pending), BSc Computer Science & Statistics

Collins Zamawe - PhD Global Health (Pending), MSc Medical Anthropology, Bachelor of Social Sciences

Target audience: The target audience includes all persons involved in projects as managers, administrators, analysts, officers, banking & finance professionals, monitoring & evaluation officers and experts, consultants, persons in academia, entrepreneurs, marketing professionals, IT personnel, public policy professionals, private sector analysts, undergraduate and postgraduate research students, researchers and social scientists.

Pre-registration: Email your name, institution, address, phone number and email to to pre-register. Attach a scanned copy of your deposit slip for paid installment(s).

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