Data Literacy

Course Objectives

Increase awareness of the value and impact of data in daily life and decision-making.

Help learners understand basic data concepts and terminology.

Teach practical methods for collecting, organizing, and analyzing data.

Develop skills to create meaningful insights from data for personal, community, and business growth.

Gain expertise in managing transactions and ensuring data integrity in MySQL.

Foster a data-driven mindset to solve problems and make informed decisions.

Modules

Introduction to Data Literacy and Its Importance

Introduces the concept of data literacy and explains why it is important, especially in Ghana. Discusses common attitudes toward data and highlights real-life examples where data-driven decisions have positively impacted personal, business, and community outcomes.

Basics of Data: Types, Sources, and Collection Methods

Covers fundamental data types (qualitative and quantitative) and various sources of data. Teaches practical methods for data collection in everyday contexts, emphasizing local sources like market data and community surveys. Includes best practices for ensuring data quality.

Understanding Data Organization and Storage:

Focuses on organizing and storing data efficiently. Introduces tools like spreadsheets and basic databases, as well as techniques for data cleaning. Discusses essential data privacy and security considerations to maintain data integrity.

Exploring Data Through Visualization

Teaches the basics of data visualization, using charts, graphs, and tables to interpret data. Provides hands-on experience with tools such as Excel and Google Sheets to create visual representations. Uses local Ghanaian examples to make data visualization more relatable.

Making Sense of Data for Insight , Decision-Making and Development

This module covers simple data analysis techniques for generating insights, such as calculating averages and identifying trends. Includes real-life case studies from Ghana and other countries to demonstrate how data analysis can drive better decision-making in various sectors..

Using Data to Solve Real-World Problems in Ghana

Encourages learners to apply data to real-world challenges in areas like agriculture, healthcare, and education. Includes practical projects where participants gather data and use their findings to propose solutions to local issues.

Digital Tools for Data Collection and Analysis

Introduces various digital tools for data collection and analysis, such as mobile apps and cloud services. Provides hands-on training to help learners get comfortable with these tools, emphasizing solutions that are accessible and relevant for organisational growth.

Creating a Data-Driven Culture

Focuses on building a mindset that values data-driven decision-making. Encourages integrating data practices into daily life and showcases success stories from Ghanaians who have benefitted from adopting data literacy.

Course Format