Data Analytics - Data Storytelling, and Information Design - Lesson and Listen Series

Key points for Episode #54. Data Analytics of Data Storytelling, and Information Design - Lesson and Listen Series:

Data analytics is like learning a language. To communicate effectively through data, one needs to understand both the "vocabulary" (data types and charts) and the "grammar" (how to interpret and present data visually). Data analytics is the vocabulary and grammar of data.

Understanding data analytics is crucial for effective data communication. 

Data analytics is a skill that can be learned and is accessible to everyone, regardless of their background.

Data visualization is essential not just for reporting but for understanding data during the analytical process. 

Creating visualizations while working with data helps identify trends, errors, and insights.

According to Robin Hunt, a LinkedIn Learning instructor and co-founder of Think Data Solutions, essential skills for anyone working with data include:

• Advanced Excel Skills: Even regular users can benefit from refining their Excel abilities.
• Critical Thinking: This is vital for interpreting data meaningfully and making informed decisions.
• Documentation: Properly documenting processes is crucial for clarity and continuity in data work.
• Data Visualization Literacy: the ability to read and comprehend visualizations is a valuable skill.
• Asking the Right Questions: Formulating insightful, actionable questions can lead to better data analysis outcomes.

Data analytics is a skill that can be learned progressively, and it’s never too late to improve. Professionals are encouraged to explore tools and courses, such as those available on LinkedIn Learning, to level up their data skills.