Training on Data Literacy
INTRODUCTION
In an age where 2.5 quintillion bytes of data are produced each day, data literacy has become a critical skill. The rapid rise of data has not only transformed how we do business, but it also demands a new set of competencies from every organization’s workforce.
Organizations that invest in organization-wide data literacy are more than twice as likely to report transformational outcomes across dimensions such as quality of decision-making, innovation, customer experience, and more. This emphasizes the importance of understanding data and leveraging it effectively. Now, more than ever, it’s vital for leaders to drive data literacy within their organizations.
This training equips participants with the fundamental concepts of data literacy, enabling them to interpret various forms of data, draw actionable insights, and make strategic decisions with confidence.
WHO SHOULD ATTEND
This course is ideal for professionals across all sectors, including:
- Business Executives and Managers
- Policy Makers and Government Officials
- Financial Analysts and Accountants
- Marketing and Sales Professionals
- Project Managers and Team Leads
- HR Professionals and Workforce Planners
- Operations and Supply Chain Managers
REQUIREMENTS
This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts.
DURATION
5 Days
COURSE OBJECTIVES
By the end of the course, participants will be able to:
- Understand the fundamentals of data literacy and its importance in decision-making
- Identify different types of data (structured, unstructured, qualitative, and quantitative)
- Interpret key data visualizations, including charts, graphs, and dashboards
- Recognize common data biases and avoid misinterpretations
- Apply critical thinking to analyze data trends and patterns
- Use data insights to inform and improve strategic business decisions
- Communicate data-driven insights effectively to stakeholders
COURSE CONTENT
Introduction to Data Literacy
- Definition and significance of data literacy
- The role of data in modern decision-making
- Overcoming data misinterpretation challenges
- Ethical considerations in data usage
Understanding Data Types and Sources
- Structured vs. unstructured data
- Primary and secondary data sources
- Qualitative vs. quantitative data
- Data collection methods and their impact on accuracy
Key Data Literacy Skills Organizations Should Develop
- Reading data
- Writing and analyzing data
- Communicating with data
- Reasoning with data
Data Interpretation and Visualization
- Basics of reading and interpreting charts, graphs, and tables
- Common data visualization tools (Excel, Power BI, Tableau, Google Data Studio)
- Identifying misleading graphs and data distortions
Data-Driven Decision Making
- The role of data in strategic planning
- Evidence-based decision-making models
- Scenario analysis and predictive insights
- Real-life business cases: How organizations leverage data
Data Bias and Misinterpretation
- Common biases in data analysis
- The risks of using incomplete or misleading data
- Strategies for ensuring objective data interpretation
- Practical examples of data-driven failures and lessons learned
Communicating Data Insights Effectively
- Crafting compelling data narratives
- Using data storytelling techniques for presentations
- Aligning data insights with organizational goals
- Hands-on activity: Presenting data findings to stakeholders
Data Governance and Compliance
- Understanding data governance frameworks
- Regulatory requirements for data handling (GDPR, CCPA, etc.)
- Ensuring data security and privacy in decision-making
- Best practices for data stewardship
Hand-on Exercise
CUSTOMIZED TRAINING
This training can also be customized for your institution upon request. You can have it delivered your preferred location.
For further inquiries, please contact us on details below:
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Mobile: +254 725 771 853
REQUIREMENTS
Participants should be reasonably proficient in English.
TRAINING FEE
The course fee is KES 70,000.00 or USD 1000.00 exclusive of VAT. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us below.
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Mobile: +254 725 771 853
PAYMENT
Payment should be transferred to bank before commencement of training.
Send proof of payment to Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
CANCELLATION POLICY
- All requests for cancellations must be received in writing.
- Changes will become effective on the date of written confirmation being received.
Event Properties
| Event Date | 01-26-2026 8:00 am |
| Event End Date | 01-30-2026 5:00 pm |
| Registered | 0 |
| Cut off date | 01-22-2026 |
| Individual Price | USD 1,000 |
| Location | Nairobi, Kenya |