It's not significant

You have a big deadline ahead. You need to submit a report on the data analysis for the project on San Francisco salaries to your technical lead. He will read it and report your results to the senior management team.

You have a story, and you select data to support it. You want to show comparisons of average pay for people with different job titles.

You are hesitant to show p-values. You know that there are a lot of misconceptions around it. You decide to use it anyway. However, you plan to clarify any confusion about p-values, so your audience understands its meaning and trusts your results.

Can you classify these statements as good use or misuse of the p-value?

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Data Communication Concepts

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This exercise is part of the course

Data Communication Concepts

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Let's start with the importance of data storytelling and the elements you need to tell stories with data. You'll learn best practices to influence how decisions are made before learning how to translate technical results into stories for non-technical stakeholders.

Exercise 1: Fundamentals of storytelling Exercise 2: The story begins Exercise 3: Building a story Exercise 4: Translating technical results Exercise 5: A non-tech story Exercise 6: Be aware Exercise 7: Impacting the decision-making process Exercise 8: Is it a true story?Exercise 9: Structured to impact Exercise 10: A story to compare

Deepen your storytelling knowledge. Learn how to avoid common mistakes when telling stories with data by tailoring your presentations to your audience. Then learn best practices for including visualizations and choosing between oral or written formats to make sure your presentations pack a punch!

Exercise 1: Selecting the right data Exercise 2: The truth about salaries Exercise 3: Earning interests Exercise 4: Showing relevant statistics Exercise 5: Salary variation Exercise 6: On a payroll Exercise 7: It's not significant

Current Exercise

Exercise 8: Visualizations for different audiences Exercise 9: Salary development Exercise 10: Salary on demand Exercise 11: Choosing the appropriate format Exercise 12: A communication problem Exercise 13: Should we meet?Exercise 14: When in doubt

Now that you understand how to prepare for communicating findings, it’s time to learn how to structure your reports. You'll also learn the importance of reproducibility (work smarter, not harder) and how to get to the point when describing your findings. You’ll then get to apply all you’ve learned to a real-world use case as you create a compelling report on credit risk.

Exercise 1: Types of reports Exercise 2: Something to report Exercise 3: In summary Exercise 4: Reproducibility and references Exercise 5: Replicate me Exercise 6: Same results Exercise 7: Write precise and clear reports Exercise 8: Half-empty glass Exercise 9: Strong words Exercise 10: Case study: report on credit risk Exercise 11: Credit me Exercise 12: Report my credit

You'll finish by learning simple techniques to structure a presentation, communicate insights, and inspire your audience to take action. Lastly, you'll learn how to improve your communication style and prepare to handle questions from your audience.

Exercise 1: Planning an oral presentation Exercise 2: Is this the plan?Exercise 3: An effective plan!Exercise 4: Building presentation slides Exercise 5: A color building Exercise 6: Too much text Exercise 7: The right building Exercise 8: Delivering the presentation Exercise 9: Put it into practice Exercise 10: Best practice Exercise 11: Avoiding common errors Exercise 12: The true mistake Exercise 13: Do's and don'ts Exercise 14: Congratulations!