Esercitazione EN Day 8

Title: "Mastering Data Analysis: From Interpretation to Optimization"

Objective:

To understand the key concepts of data analysis, interpretation, visualization, and A/B testing. Students will engage in a practical exercise to analyze, interpret, and visualize a given data set, and use A/B testing to optimize results.

Duration: 2 hours

Materials Needed:

Laptops with internet access and data analysis software installed (e.g., Excel, Google Sheets, Tableau)

Printed data sets for each team

Whiteboards/flipcharts and markers

Procedure:

Introduction (20 minutes)

Begin with a brief lecture on the importance of data analysis, key metrics and KPIs, data visualization, and A/B testing in a Lean startup environment. Provide practical examples where these concepts are applied.

Part 1: Data Analysis and Interpretation (30 minutes)

Divide the students into teams of 4-5 members.

Provide each team with a printed data set related to a hypothetical startup's performance metrics. The data set could include information like website visits, user engagement metrics, conversion rates, etc.

Each team should analyze the data and interpret what the numbers mean in the context of the startup's performance.

Part 2: Data Visualization (30 minutes)

Teams should then create visualizations of their interpreted data using the data analysis software. The focus should be on creating clear and intuitive visualizations that effectively communicate the key findings from the data.

Part 3: A/B Testing (40 minutes)

Introduce a hypothetical scenario where the startup is considering two different strategies to improve their performance.

Teams should decide on which metrics they would use for an A/B test and define their hypothesis.

Part 4: Presentation and Discussion (30 minutes)

Each team presents their interpretations, visualizations, and A/B testing plan to the class.

Other teams and the instructor provide feedback and ask questions.

Outcomes:

Students will understand how to analyze and interpret data in the context of a startup's performance.

Students will gain hands-on experience in creating effective data visualizations.

Students will learn how to plan and execute an A/B test.

Students will improve their presentation and teamwork skills.

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