Course Content
Fundamentals of Problem Solving without AI in 2024

Data Analysis

 

  • After collecting data, it’s important to analyze it to draw meaningful insights.

 

  • This can involve statistical analysis, identifying trends, patterns, and correlations, and assessing the impact of different factors on the problem.

 

  • For example, if the problem is “Customer Complaints,” you might analyze the data to find common trends in the types of complaints, the time they occur, and the most common reasons behind them.

 

  • This analysis can guide your problem-solving efforts.