Data Analysis For Beginners - Avoid Common Mistakes - Part 1

In this episode of Career Tools, Wendy and Amanda discuss common mistakes to avoid when analyzing data, focusing on ensuring data accuracy for better decision-making and increased credibility. They outline key steps: checking data against reality to ensure it aligns with common sense and cross-referencing metrics for consistency; digging for assumptions to understand potential biases in data collection and presentation; and verifying data quality by assessing the reliability of sources, collection methods, internal consistency, and completeness. The hosts emphasize the importance of these checks to prevent misleading conclusions and wasted effort, and they promise to share more pitfalls in the next episode.