Data Literacy Fundamentals Workshop

Data Literacy is an essential skill in today's data-driven world. Data is everywhere, and the ability to understand, interpret and communicate with data is a skill that has become indispensable. Data literacy is the ability to read, understand, and communicate with data. It goes beyond knowing how to read a chart or create a spreadsheet; it encompasses the capacity to ask the right questions, analyze data critically, and use data to inform actions and decisions.

This comprehensive course will empower you with the knowledge and skills necessary to understand, analyze, and communicate with data effectively. You'll learn how to understand, interpret, and communicate with data effectively. By the end of this course, you'll be able to make data-informed decisions, communicate data-driven insights, and be better equipped to excel in a data-centric workplace.

Duration

5 days

Who Should Attend

Anyone interested in improving their data literacy skills

Course Objectives

• To introduce the concept of data literacy and its importance in various fields.
• To provide a comprehensive understanding of data types and sources.
• To teach data collection and data cleaning techniques.
• To develop skills in data visualization and interpretation.
• To enable students to make data-informed decisions.
• To foster effective communication of data-driven insights

Course Outline

Module 1: Introduction to Data Literacy

• Understanding the importance of data literacy
• Differentiating between data, information, and knowledge
• Exploring real-world applications of data literacy

Module 2: Data Types and Sources

• Types of data: qualitative, quantitative, and categorical
• Sources of data: primary and secondary
• Data collection methods and ethics
• Data storage options

Module 3: Data Exploration and Visualization

• Introduction to Data Exploration
• Basic data visualization techniques (bar charts, histograms, scatter plots)
• Choosing the right visualization for Your Data
• Introduction to data visualization tools

Module 4: Data Analysis Fundamentals

• Descriptive statistics: mean, median, mode, and variance
• Inferential statistics: hypothesis testing and confidence intervals
• Data analysis tools and software

Module 5: Data Cleaning and Preprocessing

• Identifying and handling missing data
• Dealing with outliers
• Data transformation techniques

Module 6: Data Interpretation and Decision Making

• Drawing insights from data
• Making data-driven decisions
• Evaluating the reliability and validity of data

Module 7: Data Communication and Storytelling

• Effective data communication techniques
• Creating compelling data visualizations
• Building data narratives

Module 8: Data Privacy and Ethical Considerations

• Data privacy regulations
• Ethical considerations in data usage
• Protecting sensitive information

Methodology

The instructor-led training is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

Accommodation and Airport Pickup

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Tailor-made Program

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.