Communicating Data Insights from Pluralsight

This course covers the key statistical and technical tools needed to convey clear, actionable insights from data to senior executives, including the use of powerful visualizations such as Sankey diagrams, funnel plots and candlestick plots.

Providing crisp, clear, actionable points-of-view to senior executives is becoming an increasingly important role of data scientists and data professionals these days. In this course, Communicating Data Insights you will gain the ability to summarize complex information into such clear and actionable insights. First, you will learn how to sum up the important descriptive statistics from any numeric dataset. Next, you will discover how to build and use specialized visual representations such as candlestick charts, Sankey diagrams and funnel charts in Python. You will then see how the data behind such representations can now be fed in from enterprise-wide sources such as data warehouses and ETL pipelines.

Finally, you will round out the course by working with data residing in different public cloud platforms, and even in a hybrid environment, that is with some of it on-premise and some of it on the cloud.

When you’re finished with this course, you will have the skills and knowledge to pull together data from disparate sources and use nifty visualizations to convey crisp, actionable points-of-view to a senior executive audience.

What's inside

Syllabus

Course Overview

Communicating Insights from Statistical Data

Communicating Insights from Business Data

Visualizing Distributions and Relationships in Data

Integrating Data in a Multi-cloud Environment

Integrating Data in a Hybrid Environment

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills that are relevant in the data science and data professional industry

Teaches how to convey actionable insights from data to senior executives, which is a growingly important task for data professionals

Instructs on summarizing complex information into clear and actionable insights

Covers specialized visual representations such as candlestick charts, Sankey diagrams and funnel charts in Python

Provides hands-on experience working with data residing in different public cloud platforms and hybrid environments

Needs a foundational understanding of descriptive statistics, data visualization, and Python

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 Data Insights with these activities:

Review core statistical concepts

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Reviewing core statistical concepts will strengthen your foundation for understanding the more advanced topics covered in this course.

Browse courses on Descriptive Statistics

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Read through your previous notes or textbooks on statistical concepts.
Take practice quizzes or problems to test your understanding.

Work through practice problems on summarizing data

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Practicing with data summarization problems will improve your ability to extract meaningful insights from data.

Browse courses on Central Tendency

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Find a set of practice problems on summarizing data.
Solve the problems using the techniques covered in the course.

Create visualizations to represent data sets

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Creating visualizations will help you develop a better understanding of the patterns and trends in data.

Browse courses on Sankey Diagrams

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Choose a data set that you want to visualize.
Select an appropriate visualization technique for the data.
Create the visualization using a software tool or library.

Four other activities

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Attend a workshop on data communication

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Attending a workshop will provide you with practical tips and techniques for communicating data effectively.

Browse courses on Data Storytelling

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Research and find a workshop on data communication.
Register for and attend the workshop.

Follow tutorials on advanced data visualization techniques

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Following tutorials will help you expand your knowledge of data visualization techniques and apply them to real-world scenarios.

Browse courses on Interactive Dashboards

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Identify areas where you want to improve your visualization skills.
Find tutorials that cover those specific techniques.

Practice creating visualizations from real-world data sets

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Working with real-world data sets will challenge you to apply your skills and make data-driven decisions.

Browse courses on Data Analysis

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Find a real-world data set that interests you.
Explore the data and identify patterns and trends.

Mentor junior data professionals or students

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Mentoring others will reinforce your own understanding of the material and help you develop your communication skills.

Browse courses on Data Analysis

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Identify opportunities to mentor others through volunteering or joining professional organizations.
Prepare materials and activities to support your mentees.

Career center

Learners who complete Communicating Data Insights will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist combines programming skills with knowledge of mathematics and statistics to extract meaningful insights from data. They may specialize in a particular industry, such as healthcare or finance. This course provides a strong foundation in statistical analysis and data visualization techniques that are essential for success in this role. By completing this course, you will be well-equipped to identify trends, patterns, and outliers in data, and to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Data Scientist

Business Analyst

A Business Analyst helps organizations improve their performance by analyzing data and identifying areas for improvement. They may work in a variety of industries, including consulting, finance, and healthcare. This course provides valuable training in data analysis and visualization techniques that are essential for success in this role. By completing this course, you will be able to gather and interpret data from a variety of sources, and to develop recommendations for improving business operations.

See salaries and explore the career path for Business Analyst

Data Analyst

A Data Analyst collects, analyzes, and interprets data to help organizations make informed decisions. They may work in a variety of industries, including marketing, sales, and operations. This course provides a strong foundation in data analysis and visualization techniques that are essential for success in this role. By completing this course, you will be able to extract meaningful insights from data, and to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Data Analyst

Market Researcher

A Market Researcher conducts research to identify and understand the needs of customers. They may work in a variety of industries, including consumer goods, healthcare, and technology. This course provides valuable training in data analysis and visualization techniques that are essential for success in this role. By completing this course, you will be able to collect and interpret data from a variety of sources, and to develop recommendations for improving marketing campaigns.

See salaries and explore the career path for Market Researcher

Financial Analyst

A Financial Analyst analyzes financial data to make recommendations for investments. They may work in a variety of industries, including banking, insurance, and wealth management. This course provides valuable training in data analysis and visualization techniques that are essential for success in this role. By completing this course, you will be able to extract meaningful insights from financial data, and to communicate your findings effectively to clients.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

An Operations Research Analyst uses mathematical and statistical techniques to solve business problems. They may work in a variety of industries, including manufacturing, logistics, and healthcare. This course provides valuable training in data analysis and visualization techniques that are essential for success in this role. By completing this course, you will be able to develop and implement solutions to complex business problems.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical techniques to develop trading strategies. They may work in a variety of industries, including investment banking, hedge funds, and asset management. This course provides valuable training in data analysis and visualization techniques that are essential for success in this role. By completing this course, you will be able to extract meaningful insights from financial data, and to develop and implement trading strategies.

See salaries and explore the career path for Quantitative Analyst

Data Engineer

A Data Engineer builds and maintains data pipelines that collect, store, and process data. They may work in a variety of industries, including technology, healthcare, and finance. This course provides valuable training in data analysis and visualization techniques that are essential for success in this role. By completing this course, you will be able to design and implement data pipelines that meet the needs of your organization.

See salaries and explore the career path for Data Engineer

Software Developer

A Software Developer designs, develops, and maintains software applications. They may work in a variety of industries, including technology, healthcare, and finance. This course provides valuable training in data analysis and visualization techniques that can be applied to software development. By completing this course, you will be able to develop software applications that are more efficient and user-friendly.

See salaries and explore the career path for Software Developer

Web Developer

A Web Developer designs and develops websites. They may work in a variety of industries, including technology, healthcare, and finance. This course provides valuable training in data analysis and visualization techniques that can be applied to web development. By completing this course, you will be able to develop websites that are more engaging and user-friendly.

See salaries and explore the career path for Web Developer

Database Administrator

A Database Administrator manages and maintains databases. They may work in a variety of industries, including technology, healthcare, and finance. This course provides valuable training in data analysis and visualization techniques that can be applied to database administration. By completing this course, you will be able to manage and maintain databases more efficiently and effectively.

See salaries and explore the career path for Database Administrator

Data Warehouse Manager

A Data Warehouse Manager designs and manages data warehouses. They may work in a variety of industries, including technology, healthcare, and finance. This course provides valuable training in data analysis and visualization techniques that can be applied to data warehouse management. By completing this course, you will be able to design and manage data warehouses that meet the needs of your organization.

See salaries and explore the career path for Data Warehouse Manager

Big Data Analyst

A Big Data Analyst analyzes large datasets to identify trends and patterns. They may work in a variety of industries, including technology, healthcare, and finance. This course provides valuable training in data analysis and visualization techniques that can be applied to big data analysis. By completing this course, you will be able to extract meaningful insights from big data.

See salaries and explore the career path for Big Data Analyst

Machine Learning Engineer

A Machine Learning Engineer builds and maintains machine learning models. They may work in a variety of industries, including technology, healthcare, and finance. This course provides valuable training in data analysis and visualization techniques that can be applied to machine learning. By completing this course, you will be able to develop and implement machine learning models that meet the needs of your organization.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist (AI)

A Data Scientist (AI) specializes in using artificial intelligence techniques to extract insights from data. They may work in a variety of industries, including technology, healthcare, and finance. This course provides valuable training in data analysis and visualization techniques that can be applied to artificial intelligence. By completing this course, you will be able to develop and implement AI solutions that meet the needs of your organization.

See salaries and explore the career path for Data Scientist (AI)