Keno Institute Upcoming Training Programmes

  • Zambia
  • Salary: n/a

Keno Institute

The Keno Institute of Training & Research specializes in practical training and research/M&E with an aim to produce real life usable knowledge and solutions.

Upcoming Training Programmes:

  1. Data Analysis and Visualisation Training using Microsoft Excel 
  2. Monitoring, Evaluation, Accountability & Learning Training 
  3. Quantitative Research Methodology
  4. Technical Grants Writing Training for Non-Profit Organisations 

All training is delivered virtually from Monday to Thursday starting at 18:30 each day.

1. Data Analysis and Visualisation Training using Microsoft Excel

Duration: 21st September to 2nd October 2020

In this short course, participants will acquire skills that will enable them to analyse and present data in a meaningful way. This is an essential skill for researchers and data analysts of all disciplines. Microsoft Excel is a tool of choice for people who need to analyze large amounts of quantitative data and is used as standard by a wide range of users who need to perform simple analysis by sorting, filtering, using formulas. It also has powerful tools such as pivot tables and data analysis toolpak for more complex analysis.

Find out more at: Data Analysis and Visualisation Training using Microsoft Excel

2. Monitoring, Evaluation, Accountability & Learning Training

Duration: 21st September to 2nd October 2020

Leading Monitoring & Evaluation Consultants will be at it yet again, delivering a top-notch MEAL Training.

What is distinct about this training is that it is aligned with professional monitoring and evaluation standards and practices, to give participants the skills they can immediately apply to their work contexts.

Find out more at: Monitoring, Evaluation, Accountability & Learning Training

3. Quantitative Research Methodology

Duration: 12th October to 5th November 2020

This course provides a comprehensive understanding of quantitative research methodologies from inception to completion. This course shows how to do high quality data science, one of the fastest, most impactful areas in all of academia, industry, government etc. The training will enable participants to design and conduct high quality research studies using the quantitative paradigm and issues that affect research validity. Participants will be able to search, critically appraise, summarise and apply published research evidence in their settings.

Find out more at: Quantitative Research Methodology

4. Technical Grants Writing Training for Non-Profit Organisations 

Duration: 19th October to 30th October 2020

Highly experienced International Grants Writing Consultant and founder of MJH Grants, a US based Grants organisation will be delivering the second Virtual Grants Writing Training for Non-Profit Organisations through guided webinar sessions.

MJH Grants has helped raise millions of dollars in grants for a variety of local and international non-profit organisations in the United States and overseas. With significant experience working with healthcare organizations, international non-governmental organisations, and local community-based organizations, MJH Grants wins grants and helps them grow.

This course is aimed at equipping individuals in all sectors with the relevant skills and know-how to produce engaging, high quality, successful grant proposals for development projects. The course will increase organizations’ chances of winning competitive funds from partners, donors, government & other entities. The course covers the various types of bids and proposals and the various approaches needed to reflect these factors including planning, writing the bid, structure and writing style as well as partnership development, budgets, and eligibility.

Find out more at: Technical Grants Writing Training for Non-Profit Organisations

View all available training programmes and courses at www.gozambiajobs.com/courses-in-zambia.

Important Note: Offers of employment or job openings with requests for payment or fees should be treated with extreme caution, viewed as potentially fraudulent and reported immediately.