Communicating Model Results and Data Insights for Data Scientists from Pluralsight

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!

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

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

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Strengthen your understanding of foundational data analysis concepts to enhance your comprehension of the course material.

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Review textbooks, articles, or online resources.
Complete practice exercises and quizzes.

Engage in peer review and feedback sessions

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Benefit from peer feedback on your analysis and communication strategies, fostering collaborative learning.

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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

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Practice communicating your findings to various types of audiences to improve your communication skills.

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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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Create data visualization dashboards to present insights

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Gain hands-on experience in creating engaging visualizations that effectively convey your analysis results.

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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

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Expand your knowledge by delving into industry best practices and techniques for effective data visualization.

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Attend online workshops or webinars.
Follow industry blogs and articles.

Develop a data communication plan for a specific business problem

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Apply your knowledge to a real-world scenario, designing a comprehensive communication plan to effectively convey data-driven insights.

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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

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Challenge yourself in a competitive environment, testing your skills in data analysis, problem-solving, and communication.

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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

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Reinforce your knowledge by sharing it with others, providing guidance and support to aspiring data scientists.

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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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Analyst

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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