Part 6/9:
Data visualization is highlighted as a critical tool for storytelling. By identifying trends, patterns, clusters, and outliers, analysts can craft compelling narratives that inform decision-making. Techniques such as line plots, scatter plots, and annotated charts make complex insights accessible and actionable. The speaker demonstrates how color coding, trend analysis, and outlier detection help clarify the story the data tells.
Practical Techniques for Non-Coders
One of the key takeaways is that advanced models and AI solutions are not exclusively for data scientists or programmers. The speaker provides practical examples of using simple extensions in Google Sheets that enable clustering, classification, and sentiment analysis without writing code. For example: