Learn from our trainers
Isaac is currently the Head of Data Science at Altis Consulting, Australia’s largest and most experienced Information Management consulting firm in Australia/New Zealand.
Learn More about our Lead Data Science Instructor
Jay is currently the Data storytelling expert and Lead Trainer at DataSeer. , He was a winner of the 2017 Grab Data Visualization challenge.
What our students say
"Our instructor was solid from start to finish. His overall approach to discussing the well-thought course material is engaging and insightful."
Jerome Jerico Ramos
Our Training Clients
Well told data stories are change drivers within the modern organisation. But how do we find the most important insights in our business data and communicate them in a compelling way? How do we connect the data that we have to the key underlying business issue?
This course takes students from the fundamentals (what should we be measuring and why?) through to the elements of good visualisation design (what does a good chart look like?) through to proficiency in data storytelling. By the end of the course, students will know how to produce engaging, cohesive and memorable data stories using Excel and PowerPoint. The course also teaches attendees the importance of producing statistically robust visualisations and insights.
Who is this course suitable for?
This course is suitable for any professional who wants to create better charts and tell better stories with their data.
- Provide participants with visualization best practices for the most common charts used in business
- Provide participants with industry best practices for the production of insights
- Provide participants with guidelines on best practices for linking charts together into a cohesive story that concludes with actionable recommendations
- Provide participants with applied examples regarding trend analysis
- Provide participants with a grounding in sampling, confounding variables and the statistical aspects behind data storytelling
Participants who complete this course will be able to:
- Create complete data stories and know how to present these stories in an engaging way to upper management
- Generate statistically robust data driven insights that inform decision making in the business setting
- Detect, illustrate and highlight trends, outliers and patterns in business data
- Build stakeholder support for project initiatives using data
- Know how to select the appropriate chart types for a given dataset (e.g. When to use a bar chart versus a pie chart or a line graph versus a bubble chart)
- Know how to design aesthetically pleasing data visualizations that adhere to the principals of good design
- Understand how to use a ‘data dictionary’ and metadata to facilitate data analysis
- Open .dat and .txt datasets in Excel.
Required Laptop Specs
- Intel i3 processor, 2GB RAM
- Either Mac or Windows operating system
- Any data visualization software package (e.g. Excel, Tableau, PowerBI, Qlik, R, Python) and PowerPoint