Asset Africa Institute Call for Applications: Advanced Tools and Techniques for Data Analysis & Presentation

  • AAI

The Asset Africa Institute (AAI) a specialized institute in the research, design and delivery of high-quality and affordable training programs for development workers worldwide is pleased to announce the training workshop on Advanced Tools and Techniques for Data Analysis & Presentation.

Date:  February 5 – 9, 2024

Place: Meridian Hotel, Nairobi, Kenya

Course fee: USD 725 (Group discounts apply). Covers Ten o’clock tea/snacks, buffet lunches, water, writing materials, four o’clock tea/snacks. Participants make own travel and accommodation arrangements.

Overall Objective:

Advanced data analysis and presentation constitute critical skills requirements for project managers/officers, M & E practitioners, scholars and researchers. How a professional analysis, interprets, and presents can data be the difference between average performance and competitive advantage; Indeed, the exponential levels at which data is being produced globally demands data managers who can model, transform information and visually communicate data in a variety of work environments convincingly and professionally using the most effective data analysis and presentation methods.

Due to the rising need for staff to apply R in the large data analysis, this workshop dedicates 2 full days taking participants through Statistical analysis using R. R has a large and active user community. R statistical software is widely recognized for its powerful capabilities in statistical analysis, data visualization, and presentation.

Who should attend?

  • Program Managers, Program Officers, Project Managers, Project Officers, Project Coordinators, Monitoring & Evaluation Practitioners and Specialists, Planners & researchers, Postgraduate students (Masters and PhD), Prospective postgraduate students, Scholars wishing to deepen their grasp in this field

Learning Objectives:
This workshop enables participants gain the following useful competencies;

  • Perform statistical analysis & present different types of data in an appropriate manner
  • Identify areas/issues/situations where statistical analysis would be beneficial.
  • Use your data and analytical ability to find and interpret rich data sources
  • Present and communicate data insights and create visualizations to aid in the understanding of data
  • Build mathematical models using the data
  • Improve your creativity to clearly and compellingly display information
  • Provide advice to decision makers on the implications of data for services, processes and decisions
  • Understand how to apply relevant statistical techniques to solve the underlying problems/issues.
  • Report on statistical findings

Course Content:
Day 1

  • Introduction to Data Types, Data Measurements & Data Analysis
  • Basics of data types and data structures.
  • Overview of statistical concepts.
  • The theory and practice of presenting data in graphical form
  • The basic principles of economy, clarity, and integrity

Day 2

  • Old types of graphs to avoid, new graph types: dot plot, scatter plot matrix, conditional plot,
  • How to design effective graphs
  • Choosing the right charts and graphs.
  • Best practices in data visualization.

Day 3

  • Techniques for collecting and cleaning data.
  • Dealing with missing or incomplete data.
  • How to use SPSS Statistical software graphical analysis and presentation
  • How to use STATA Statistical software graphical analysis and presentation
  • Importance of ethical data practices.
  • Ensuring data privacy in analysis.

Day 4

  • Overview of R as a statistical computing and graphics tool.
  • Installation and basic setup.
  • How to use R Statistical software graphical analysis and presentation
  • A comprehensive tool for symbolic mathematics, numerical computations, and interactive data visualization.

Day 5

  • Communicating findings effectively.
  • Practical exercises using relevant tools.
  • Building a portfolio of data analysis projects.
  • Establishing data governance policies.
  • Managing and maintaining data quality.

Training Methodology:

  • Dynamic, creative, participant centered, practical, interactive, interesting adult learning methodologies and diverse media are applied to lift the participants to high levels of proficiency.
  • The training will provide a balanced mix of foundational knowledge, technical skills, and practical applications, catering to individuals with various levels of expertise in data analysis and presentation. These topics cover a wide range of advanced tools and techniques in data analysis and presentation.
  • After-training, follow-up and remedial coaching will be offered to interested participants on request for free.

More information: info@assetafrica.co.ke  /assetsafrika2@gmail.com

  • AAI
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