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Ep. 018 Interview series: Christopher Chin on Data Storytelling and Career shifts
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Insights on Data Analytics:
- Data analytics involves examining and interpreting data to extract insights that can help businesses make informed decisions.
- It requires a combination of technical skills, such as programming and statistical analysis, and soft skills like communication and problem-solving.
- There are different types of data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics.
- Companies can use data analytics to optimize their operations, improve their products and services, and gain a competitive advantage.
Insights on Data Visualization:
- Data visualization is an important aspect of data storytelling, where the goal is to communicate insights from data in a compelling and understandable way.
- Effective data storytelling goes beyond visualizing data; it involves understanding the context and using the data to tell a story that resonates with the audience.
- Less is more when it comes to data visualization. Avoid overwhelming the audience with too much information or flashy graphics.
- Use a default colour palette and reserve brighter colours for highlighting important data points. Contrast is also important.
- Leave breathing room in slides and avoid overcrowding them with text or details. Point attention to the important parts.
- Understand the audience and what they care about. Tailor the data visualization to their needs and interests.
Christopher’s LinkedIn profile:
Christopher’s Website:
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