Data Literacy at Workplace

This intensive workshop is designed to empower professionals to harness the power of data in their daily roles.

data literacy

Program Intro

This intensive workshop is designed to empower professionals to harness the power of data in their daily roles. Participants will learn to understand the role of data at the workplace, identify relevant and reliable data sources, and utilize this data to make informed decisions. The training covers practical skills in data cleaning, exploring trends and patterns, and contextualizing data for specific audiences. By the end of the session, attendees will be adept at communicating data-driven insights responsibly, ensuring that data is a cornerstone of their decision-making process. This workshop is ideal for those looking to enhance their analytical skills and leverage data for strategic advantages.

Program Duration

8 Hours

Training Objective

By the end of the training, participants will be able to:

• Understand the role and purpose of data at the workplace.
• Identify relevant and reliable data for different users and usage purposes at the workplace.
• Discover meaningful data for making informed insights and decisions.
• Clean and tidy data for analysis.
• Explore trends and patterns in data.
• Contextualise data for targeted audience and intended usage purpose.
• Communicate data-driven insights and decisions responsibly.

Who Should Attend?

• Corporate Executives and Decision-makers
• Data Analysts and Scientists
• Business Analysts
• Marketers
• Human Resources Professionals
• Entrepreneurs

Program Outline

09:00AM - 09:30AM
Session 1: Introduction
• Welcome and icebreaker activity.
• Workshop objectives and agenda overview.
• The importance of data literacy at the workplace.

09:30AM - 10:30AM
Session 2: Understanding Data
• The role and types of data.
• What it means to be data literate at the workplace.
• Interactive activities to discuss why being data literate matter for personal career growth and corporate decision making.

10:30AM - 11:30AM
Session 3: Identifying Relevant and Reliable Data
• Techniques to find relevant data for the right user.
• Skills to evaluate reliable data for the right usage purpose.
• Practical exercises on getting relevant and reliable data.

11:30AM - 12:30PM
Session 4: Discovering Meaningful Data
• Strategies to discern meanings in data.
• Translating information to inform insights and decisions.
• Case study scenarios and group discussion to find data meaningness from different participants’ perspectives.

12:30PM - 01:30PM
Lunch

01:30PM - 02:30PM
Session 5: Cleaning and Tidying Data
• Messy data versus tidy data.
• The golden rules in tidying data.
• Common challenges when tidying messy data and how to address them, including how to transform data.
• Practical exercises on getting data organised for analysis.

02:30PM -03:30PM
Session 6: Exploring Data
• Understand what data we have and why we need them.
• Find trends and patterns in data that make sense.
• Practical exercises on exploring trends and patterns in data from the previous session.

03:30PM - 04:30PM
Practice Session: Communicating with Data in Context
• Strategies to address bias and ethical considerations when communicating with data.
• Crafting a data communication plan for the right user and usage purpose at the workplace.
• Role-play scenarios to practise communicating data in context responsibly.

04:30PM - 05:30PM
Closing Session: Data Drives Actions
• The power of data for personal career growth.
• The confidence underlying data-driven, evidence-based corporate decision making.
• Group sharing and peer feedback.

05:30PM - 06:00PM
Wrap-up
• Q&A.
• Summary of key takeaways and next steps.

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