Data Visualization and Dashboards for Humanitarian Organizations with Excel 2013

COURSE DETAILS:

Dates : EVERY MONDAY
Duration : 5 Days (8:30am - 4:30pm)
Venue : The Stanley Hotel, Nairobi, Kenya
Charges : $ 750 + 16% VAT
 

To update

If you want the training done at your organization premises, please contact us for further inquiries.

FEE INFORMATION:

The fee for this 5 days’ course is KES 75,000 plus 16% VAT. Organizations registering at least 2 participants will get a 16% discount.

The cost includes: writing material, tea and snacks, drinking water and lunch but does NOT include accommodation and travel expenses.

HOW TO REGISTER

Interested participants should apply for the course by filling the contact us form at:
www.drmathematics.com/en/training/register

OR contacting the training facilitator:

  • This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Mobile: +254 721 462 424

PAYMENT DETAILS

We require that all payments be made through the bank. Below are the bank payment details for the CENTRE FOR MATHEMATICS AND RESEARCH. Please retain a copy of your bank payment slip for purposes of future reference. Cheques should be addressed to CENTRE FOR MATHEMATICS AND RESEARCH.

ACCOUNT INFORMATION
Bank KENYA COMMERCIAL BANK
Branch MOI AVENUE
Account Number 1153831880
Account Name CENTRE FOR MATHEMATICS AND RESEARCH

 

Biostatistics and Epidemiology for Public Health Research (STATA)

Course Details:

Dates : EVERY MONDAY
Duration : 5 Days (8:30am - 4:30pm)
Venue : The Stanley Hotel, Nairobi, Kenya
Charges : $ 750 + 16% VAT
 

This is a hands on practical learning course in which NGO staff members, health researchers and humanitarian organizations will be introduced to the fundamentals of data capture, management, analysis and generating of reports from humanitarian surveys using the STATA software.

The course will blend data management and analysis with statistical inferences related to study designs on data collected from humanitarian surveys. Participants are encouraged to come to the course with data sets from previous surveys for purposes of using them practically to demonstrate data cleaning routines, data management, analysis, graphics and generation of reports from such data sets.