Enriching Experience
I'm immensely grateful for the invaluable knowledge imparted by our dedicated instructors who are always there to guide and support me. It has been an enriching experience!
Data Analytics Bootcamp learner
Data Storytelling
Data storytelling is both a science and an art. In this workshop, learners will gain skills in how to structure clear problem scopes, extract critical insights from data and tell compelling data stories to communicate findings using tools like Microsoft Excel and PowerPoint.
Overview:
Ideal for:
This programme is most suited for executive- or manager-level employees who are regularly required to convert data into actionable insights in their work.
Outcomes:
- Set clear problem statements and hypotheses for analysis
- Develop Excel skills to effectively clear, explore and visualise data
- Develop and deliver a narrative in a compelling fashion for different target audiences
- Solve real business problems using data projects and assignments
Prerequisites:
No prerequisites! This program is tailored to beginners, offering an accessible pathway into the world of data storytelling. If you're new to data storytelling, fret not! We've designed this course with no prerequisites, ensuring that everyone can dive right in.
Course Outline
Why?
The key to any successful data-driven initiative is understanding the problem to be solved and producing the most impactful hypotheses to move forward with. Without this strong foundation, the data you analyze and the insights you generate will either be inaccurate or inconsequential.
Unit 1: Simulation
Experience and reflect on problem solving strategically in a simulated context.
Unit 2: Intro to 7 Steps of Problem Solving
Get to know the 7 key steps and other critical mindsets to approaching the problem solving process in a structured way.
Unit 3: Problem Definition
Define your problem as a “How Might We” questions and use the problem statement worksheet to scope out your problem.
Unit 4: Problem Structuring
Use issue trees to structure your problem according to MECE principles.
Unit 5: Prioritisation
Leverage the impact-feasibility matrix to prioritise the different components of a problem.
Unit 6: Planning for Analysis
Build strong hypotheses and use the model work plan to gather information and conduct your analysis.
Why?
Now that you understand the problem space, it is time to dig into the data. How do you prep and mine the data for insights? What tools and mindsets can support you along the way? This module explores the complete data analytics workflow, equipping you with essential frameworks and techniques along the way.
Unit 1: Intro to Data Analytics
Explore the data analytics workflow, ecosystem and the essential mindsets that underpin effective data analysis.
Unit 2: Data Cleaning
Learn the essentials of data wrangling — a.k.a, the process of cleaning, processing and filtering data so it can be transformed to answer business questions.
Unit 3: Data Exploration
Leverage on functions like PivotTables and other exploratory data analysis techniques to derive critical insights from an existing dataset. Get to know biases the impact data analysis and how you can overcome them
Unit 4: Data Visualisation
Learn how to convey meaningful data insights by getting to know the different types of charts and aesthetic considerations that contribute to impactful accessible data visuals.
Why?
You can have the strongest data and insights possible, but without effective narratives and communication, they can be misunderstood or — even worse — go unused. Not all stories work for all audiences. Determining what and how to communicate to different stakeholders can be all that stands between an idea moving forward or being shelved.
Unit 1: 4 Keys of Storytelling
Level set the science and art of storytelling by describing the 4 keys of storytelling and their significance in the planning phase.
Unit 2: Building powerful slides
Learn how to use the Pyramid Principle (including important concepts such as MECE, having a single governing thought, direct and indirect storytelling) and the golden rule of slide building to compose slides that are concise and targeted.
Unit 3: Honing compelling communication
Practice adjust pausing, pacing, project as well as other do’s and don’ts to ensure presentation delivery is clear for the target audience.
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WHAT LEARNERS SAY ABOUT OUR DATA STORYTELLING COURSE
Extensive Training Course
The course was extensive and the instructor was good. He is patient to explain complex things and simplify them through explanations.
Management Trainee at a leading financial services group
Engaging Class
I really appreciate the instructor's effort to keep us engaged in class. Additional knowledge and sharing from the instructor also allows us to know more about real scenarios.
Analyst of a leading financial services group
FAQs About Our Data Storytelling Course
Effective narratives and communication ensure that insights are understood and utilized, preventing valuable data from being misinterpreted or overlooked. Tailoring stories to different stakeholders can mean the difference between an idea progressing or being abandoned.
The course aims to help participants plan and develop compelling data narratives for their target audience, and present these stories using effective verbal and non-verbal techniques.
The problem-solving module focuses on experiencing and reflecting on strategic problem-solving, defining problem scopes, understanding the importance of strategic problem-solving, and applying key frameworks and best practices for problem definition and analysis planning.
Participants will be equipped to set clear problem statements and hypotheses, develop Excel skills for data manipulation and visualization, craft compelling narratives for diverse audiences, solve real business problems through data projects, and make data-driven decisions.