The truth about salaries

Your predictive model for customer churn, which you worked on in Chapter 1, has been deployed. Your project manager asks you to work on a new internal project. The goal is to analyze a database with employee salaries in San Francisco, USA.

After doing an exhaustive exploratory data analysis, you have to present your findings to the human resources team. They want to compare San Francisco salary growth to the one at the company; they need to understand how to forecast salaries for the next year. You are about to copy the graphs from your analysis. Your manager reminds you to select the right data for your stakeholders.

You start by writing down what you believe can help you choose the proper findings.

One of the statements you wrote is false. Can you select which one it is?

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Data Communication Concepts

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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

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Exercise 3: Earning interests Exercise 4: Showing relevant statistics Exercise 5: Salary variation Exercise 6: On a payroll Exercise 7: It's not significant 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!