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Data Communication Concepts

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

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3 Hours16 Videos50 Exercises
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Course Description

Learn the Basics of Data Communication


You’ve analyzed your data, run your model, and made your predictions. Now, it's time to bring your data to life! Presenting findings to stakeholders so they can make data-driven decisions is an essential skill for all data scientists. In this course, you’ll learn how to use storytelling to connect with your audience and help them understand the content of your presentation—so they can make the right decisions.

Explore Formats of Data Communication


Through hands-on exercises, you’ll learn the advantages and disadvantages of oral and written formats. You’ll also improve how you translate technical results into compelling stories, using the correct data, visualizations, and in-person presentation techniques. Start learning and improve your data storytelling today.
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In the following Tracks

Certification Available

Associate Data Scientist in Python

Go To Track
Certification Available

Associate Data Scientist in R

Go To Track
Certification Available

Associate Data Analyst in SQL

Go To Track
  1. 1

    Storytelling with Data

    Free

    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.

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    Fundamentals of storytelling
    50 xp
    The story begins
    50 xp
    Building a story
    100 xp
    Translating technical results
    50 xp
    A non-tech story
    100 xp
    Be aware
    100 xp
    Impacting the decision-making process
    50 xp
    Is it a true story?
    50 xp
    Structured to impact
    100 xp
    A story to compare
    100 xp
  2. 2

    Preparing to Communicate the Data

    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!

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  3. 3

    Structuring Written Reports

    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.

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  4. 4

    Building Compelling Oral Presentations

    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.

    Play Chapter Now
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Certification Available

Associate Data Scientist in Python

Go To Track
Certification Available

Associate Data Scientist in R

Go To Track
Certification Available

Associate Data Analyst in SQL

Go To Track

Collaborators

Collaborator's avatar
Maria Eugenia Inzaugarat

Prerequisites

Understanding Data ScienceUnderstanding Data Visualization
Hadrien Lacroix HeadshotHadrien Lacroix

Curriculum Manager at DataCamp

Hadrien has collaborated on 30+ courses ranging from machine learning to database administration through data engineering. He's currently enrolled in a Masters of Analytics at Georgia Tech.

Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.

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