About the course
Numerous organizations and individuals today are embarking on the journey of digital and data transformation. The primary step to this process is data literacy, the ability to communicate, read and write about data in specific contexts. Furthermore, both individuals and organizations need to know how to access and assess data, find meaning and derive actionable business insights. Individuals should be able to use data to influence their daily activities as well as big-picture decisions. It is critical for everyone to know how to do the above, not just the data analysts or the data scientists.
Data Literacy is the enabler. Being data literate will allow an employee or individual to experiment with the data and uncover new insights and generate opportunities. In addition, being data literate is a big part of data security and would reduce risks of data breaches and issues. Putting data to good use is the key for any business.
Who is this course for?
Suited for anyone wants to be part of a data enablement team or anyone that needs to understand and work with data to aid in their work.
Module 1: Exploring Data Literacy
The first step before diving into the complex operations with data is to understand what data is all about and why it is important for any organization or business to be data literate. This module explores those perspectives.
• What does it mean to be Data Literate?
• Data Literacy Roadmap and adoption
• Why data is important for any organization?
• What can be done with data?
Module 2: Data Sources and Data Collection
Diving deeper into the data literacy roadmap, the primary resource where things start off is the data. It is important to know where data can come from and how data should be collected. This module covers the in-depths of this process.
• Data Touchpoints
• Data Collection Methodologies
• How clean should the data be made?
• Typical Data Cleaning and Transformation techniques
Module 3: Asking questions from Data
Data is all about asking questions and building up the business value. This module covers how and what kind of questions should be asked from the data. It is important not to miss out on asking any critical questions which may help the business.
• Defining a business problem
• What parts of the data are important?
• How do you formulate questions from the important part of the data?
• Answering the questions through the data
Module 4: Data Analytics – Taking data a step further
In order to uncover insights using statistics and other techniques, it is imperative to know how it can be applied to the data and what it can give you. This module solely focuses on establishing foundational analytics and exploring relationships in data.
• The Analytics Roadmap for a Business
• What does Analytics consist of?
• Does Analytics involve Statistics? Understanding important statistical concepts
• Exploring relationships in the data using statistical and non-statistical methods
Module 5: Foundations of Data Visualization
Data in textual format is not the best way to derive insights and understand data. Visuals, Charts & Graphs always appeal to a wider audience because it makes the data easier to understand and comprehend. In this module, we will learn what data visualization is all about and the best practices with Data Visualization.
• What are the various types of visualizations available?
• How do we link data to visualizations? Choosing the right kind of visual for the right context
• Deriving insights from visualizations
• Best practices of data visualizations
• Understanding basic formulae to compliment visualizations
• Exploring Business Cases
Module 6: Telling a Data Story
Communication is key with data. Being able to narrate a story with your data through your visuals and business insights is critical to everyone. This module focuses on how a story can be developed from dashboards and visuals and how this should be communicated to different kinds of audience.
• Why is Data Storytelling important?
• How to identify your audience?
• Key elements of Data Storytelling
• Pitfalls of Data Storytelling
• Exploring Narrations
Module 7: Making Data Informed Decisions
The end goal with data is always to drive value and gather insights. Ultimately, any organization would want to take decisions based on the gathered insights to help the business. This module helps you understand, through various business cases, how that value can be derived and how decisions can be taken based on the data.
• Visual and data informed decision making
• Decision making techniques
Fan Yeng-Loon has more than 25 years of extensive experience in technology services across various MNCs like Microsoft, Deustche Bank and UBS. He carries a wide-ranging experience in service desk operations, vendor management, stakeholder relationship management and digital transformation initiatives. Across his work experience, he was adept in engaging with global stakeholders (audit, compliance, risks, technology) to deliver time-critical, cross-functional projects. With in-depth knowledge and experience in various industries, from technical solution providers to financial…