Kisah dimulai

Anda baru-baru ini mulai bekerja sebagai data scientist di sebuah perusahaan bernama Communicatb. Untuk proyek pertama, Anda dan tim perlu menganalisis data churn pelanggan untuk sebuah perusahaan ponsel. Tujuannya adalah memprediksi perilaku mereka dan membantu mengembangkan program untuk mempertahankan pelanggan.

Pimpinan tim Anda tahu bahwa Anda ahli dalam penceritaan. Ia meminta Anda menjelaskan kepada tim mengapa menyusun cerita yang kuat itu penting saat menyampaikan hasil. Anda menuliskan daftar alasan sebagai persiapan.

Salah satu pernyataan yang Anda tulis adalah salah. Dapatkah Anda memilih yang mana?

Latihan ini adalah bagian dari kursus

Konsep Komunikasi Data

Lihat Kursus

Latihan interaktif praktis

Ubah teori menjadi tindakan dengan salah satu latihan interaktif kami.

Mulai berolahraga

Latihan ini adalah bagian dari kursus

Konsep Komunikasi Data

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Mulai Kursus Gratis

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: Dasar-dasar bercerita Exercise 2: Kisah dimulai

Latihan Saat Ini

Exercise 3: Membangun sebuah cerita Exercise 4: Menerjemahkan hasil teknis Exercise 5: Sebuah cerita non-teknis Exercise 6: Waspada Exercise 7: Mempengaruhi proses pengambilan keputusan Exercise 8: Apakah ini kisah yang benar?Exercise 9: Terstruktur untuk berdampak Exercise 10: Sebuah cerita untuk membandingkan

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 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!