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Jason Browning, Ph.D.

Communicating the results of an analysis is critical to success as a data scientist. This course will teach you how to use various strategies to ensure that you can clearly communicate the results of your models and insights that you identify.

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Communicating the results of an analysis is critical to success as a data scientist. This course will teach you how to use various strategies to ensure that you can clearly communicate the results of your models and insights that you identify.

As a data scientist, you spend lots of time working with data to generate exciting new insights and answer business questions. But how should you share these findings with colleagues and stakeholders? In this course, Communicating Model Results and Data Insights for Data Scientists, you'll learn how to become a more effective data scientist by clearly communicating the results of your analysis. First, you’ll learn about multiple audiences, and how to identify their needs and preferences. Next, you’ll discover techniques to simplify complex topics and engage with your stakeholders. Then, you’ll take a look at data visualization techniques and how these can be used to engage with our audience. When you’re finished with this course, you’ll have the knowledge to take the results of your analysis and share them effectively with both technical and non-technical audiences!

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What's inside

Syllabus

Course Overview
Understanding Your Audience
Presenting Your Data

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches clear communication techniques for data scientists
Provides strategies to engage with both technical and non-technical audiences
Builds communication skills for data scientists
Covers key topics for effective data communication

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Communicating Model Results and Data Insights for Data Scientists with these activities:
Review core concepts of data analysis
Strengthen your understanding of foundational data analysis concepts to enhance your comprehension of the course material.
Show steps
  • Review textbooks, articles, or online resources.
  • Complete practice exercises and quizzes.
Engage in peer review and feedback sessions
Benefit from peer feedback on your analysis and communication strategies, fostering collaborative learning.
Show steps
  • Form study groups with fellow students.
  • Present your analysis and findings to the group.
  • Provide constructive feedback and suggestions to others.
Practice presenting results to different audiences
Practice communicating your findings to various types of audiences to improve your communication skills.
Show steps
  • Identify your target audiences and their needs.
  • Develop different communication strategies for each audience.
  • Practice presenting your results to simulated audiences.
  • Get feedback and refine your communication approach.
Five other activities
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Show all eight activities
Create data visualization dashboards to present insights
Gain hands-on experience in creating engaging visualizations that effectively convey your analysis results.
Show steps
  • Choose the appropriate data visualization tools and techniques.
  • Design and develop interactive dashboards.
  • Share your dashboards with stakeholders and collect feedback.
Explore additional resources on data visualization best practices
Expand your knowledge by delving into industry best practices and techniques for effective data visualization.
Show steps
  • Attend online workshops or webinars.
  • Follow industry blogs and articles.
Develop a data communication plan for a specific business problem
Apply your knowledge to a real-world scenario, designing a comprehensive communication plan to effectively convey data-driven insights.
Show steps
  • Identify the business problem and target audience.
  • Determine the key insights and messages to communicate.
  • Develop a communication strategy, including appropriate visualizations and formats.
  • Create a prototype or draft of the communication plan.
Participate in a data analysis competition or hackathon
Challenge yourself in a competitive environment, testing your skills in data analysis, problem-solving, and communication.
Show steps
  • Identify relevant competitions or hackathons.
  • Form a team or work independently.
  • Develop and execute a data analysis plan.
  • Present your findings to a panel of judges or stakeholders.
Mentor junior data scientists or students
Reinforce your knowledge by sharing it with others, providing guidance and support to aspiring data scientists.
Show steps
  • Volunteer as a mentor at local schools or organizations.
  • Connect with mentees through online platforms.

Career center

Learners who complete Communicating Model Results and Data Insights for Data Scientists will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists are individuals who use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Completing this course may be useful for those seeking to get into or advance their career as a Data Scientist as it teaches skills in clearly communicating the results of models and insights that they identify.
Data Analyst
Data Analysts collect, transform, and analyze data to extract meaningful insights. They use their findings to help businesses make informed decisions. This course may be helpful for those seeking to get into or advance their career as a Data Analyst as it teaches skills in understanding audiences and presenting data.
Business Analyst
Business Analysts work with businesses to identify and solve problems. They use data analysis to understand the needs of the business and its customers. This course may be helpful for those seeking to get into or advance their career as a Business Analyst as it teaches skills in understanding audiences, presenting data, and simplifying complex topics.
Product Analyst
Product Analysts work with businesses to develop and improve products. They use data analysis to understand the needs of the users and the market. This course may be helpful for those seeking to get into or advance their career as a Product Analyst as it teaches skills in understanding audiences, presenting data, and identifying insights.
Marketing Analyst
Marketing Analysts work with businesses to develop and implement marketing campaigns. They use data analysis to understand the needs of the customers and the market. This course may be helpful for those seeking to get into or advance their career as a Marketing Analyst as it teaches skills in understanding audiences, presenting data, and identifying insights.
Financial Analyst
Financial Analysts work with businesses to analyze financial data and make investment recommendations. They use data analysis to understand the financial health of a company and the market. This course may be helpful for those seeking to get into or advance their career as a Financial Analyst as it teaches skills in understanding audiences, presenting data, and identifying insights.
Consultant
Consultants work with businesses to solve problems and improve performance. They use data analysis to understand the needs of the business and its customers. This course may be helpful for those seeking to get into or advance their career as a Consultant as it teaches skills in understanding audiences, presenting data, and identifying insights.
Journalist
Journalists write and report on news stories. They use data analysis to help them understand the facts and write compelling stories. This course may be helpful for those seeking to get into or advance their career as a Journalist as it teaches skills in understanding audiences, simplifying complex topics, and engaging with stakeholders.
Teacher
Teachers educate students in a variety of subjects. They use data analysis to understand the needs of their students and develop effective lesson plans. This course may be helpful for those seeking to get into or advance their career as a Teacher as it teaches skills in understanding audiences, simplifying complex topics, and engaging with stakeholders.
Researcher
Researchers conduct studies to answer questions and advance knowledge. They use data analysis to collect and analyze data to support their research. This course may be helpful for those seeking to get into or advance their career as a Researcher as it teaches skills in understanding audiences, presenting data, and identifying insights.
Data Engineer
Data Engineers design and build data systems and infrastructure. They use data analysis to understand the needs of the business and design systems to meet those needs. This course may be helpful for those seeking to get into or advance their career as a Data Engineer as it teaches skills in understanding audiences and presenting data.
Software Engineer
Software Engineers design, develop, and maintain software systems. They use data analysis to understand the needs of the users and design systems to meet those needs. This course may be helpful for those seeking to get into or advance their career as a Software Engineer as it teaches skills in understanding audiences and presenting data.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. They use their findings to help businesses make informed decisions. This course may be helpful for those seeking to get into or advance their career as a Quantitative Analyst as it teaches skills in understanding audiences, presenting data, and identifying insights.
Actuary
Actuaries use mathematical and statistical models to assess risk and uncertainty. They use their findings to help businesses make informed decisions. This course may be helpful for those seeking to get into or advance their career as an Actuary as it teaches skills in understanding audiences, presenting data, and identifying insights.
Statistician
Statisticians collect, analyze, and interpret data. They use their findings to help businesses make informed decisions. This course may be helpful for those seeking to get into or advance their career as a Statistician as it teaches skills in understanding audiences, presenting data, and identifying insights.

Reading list

We've selected 18 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Communicating Model Results and Data Insights for Data Scientists.
A valuable supplement to the course's syllabus, this book provides a hands-on guide to communicating data through Tableau. It offers deep dive examples as well as helpful background information to make the learning process smoother.
A classic work on data visualization, with a focus on the principles of graphical excellence. helpful reference for those who want to learn more about the history and theory of data visualization.
A practical guide to using data to tell stories that are both persuasive and inspiring. helpful reference for those who want to learn more about data visualization and storytelling.
A comprehensive guide to data visualization that covers both the theoretical and practical aspects of the field. Good for those who want to learn more about the field.
A textbook that provides a comprehensive overview of the fundamentals of data visualization. Good for those who want to learn more about the theoretical side of data visualization.
A humorous and accessible introduction to statistics. helpful reference for those who want to learn more about the basics of statistics in a fun and engaging way.
An introduction to the principles of data visualization, with a focus on practical applications. useful reference for those who want to learn more about the basics of data visualization.
A classic book on the dangers of misusing statistics. helpful reference for those who want to learn more about the importance of data literacy.
A popular book on statistics that is written in a clear and engaging style. helpful reference for those who want to learn more about the basics of statistics.
Focuses primarily on designing better dashboards and provides guidance for different metrics and visualizations to use in order to display data effectively.
Focuses on practical advice for choosing the right type of chart or graph for different types of data. Useful as a reference guide.
A comprehensive guide to creating dashboards that are both visually appealing and effective. Useful for those who want to learn more about this specific aspect of data visualization.
Guides readers on how to spot misleading graphs and charts, and provides resources for communicating with data more honestly. A recommended read for beginners in the field of data science.
Useful for learning about the ethics of data visualization, and how to avoid misleading or inaccurate representations.
Aimed at beginners, this book provides a clear and concise introduction to data visualization. Good for brushing up on the basics before taking the course.
Provides a hands-on introduction to data visualization using Python and JavaScript. Good for those who want to learn more about the technical side of data visualization.

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