We may earn an affiliate commission when you visit our partners.
Janani Ravi
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/jhjlg2/communicating
What's inside
Syllabus
Course Overview
Communicating Insights from Statistical Data
Communicating Insights from Business Data
Visualizing Distributions and Relationships in Data
Read more
Syllabus
Course Overview
Communicating Insights from Statistical Data
Communicating Insights from Business Data
Visualizing Distributions and Relationships in Data
Read more
Integrating Data in a Multi-cloud Environment
Integrating Data in a Hybrid Environment
Good to know
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
Save this course
Save Communicating Data Insights to your list so you can find it easily later:
Save
Save
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
Show steps
Reviewing core statistical concepts will strengthen your foundation for understanding the more advanced topics covered in this course.
Browse courses on
Descriptive Statistics
Show steps
-
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
Show steps
Practicing with data summarization problems will improve your ability to extract meaningful insights from data.
Browse courses on
Central Tendency
Show steps
-
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
Show steps
Creating visualizations will help you develop a better understanding of the patterns and trends in data.
Browse courses on
Sankey Diagrams
Show steps
-
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
Expand to see all activities and additional details
Show all seven activities
Attend a workshop on data communication
Show steps
Attending a workshop will provide you with practical tips and techniques for communicating data effectively.
Browse courses on
Data Storytelling
Show steps
-
Research and find a workshop on data communication.
-
Register for and attend the workshop.
Follow tutorials on advanced data visualization techniques
Show steps
Following tutorials will help you expand your knowledge of data visualization techniques and apply them to real-world scenarios.
Browse courses on
Interactive Dashboards
Show steps
-
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
Show steps
Working with real-world data sets will challenge you to apply your skills and make data-driven decisions.
Browse courses on
Data Analysis
Show steps
-
Find a real-world data set that interests you.
-
Explore the data and identify patterns and trends.
Mentor junior data professionals or students
Show steps
Mentoring others will reinforce your own understanding of the material and help you develop your communication skills.
Browse courses on
Data Analysis
Show steps
-
Identify opportunities to mentor others through volunteering or joining professional organizations.
-
Prepare materials and activities to support your mentees.
Review core statistical concepts
Show steps
Reviewing core statistical concepts will strengthen your foundation for understanding the more advanced topics covered in this course.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- 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
Show steps
Practicing with data summarization problems will improve your ability to extract meaningful insights from data.
Browse courses on
Central Tendency
Show steps
Show steps
Show steps
- 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
Show steps
Creating visualizations will help you develop a better understanding of the patterns and trends in data.
Browse courses on
Sankey Diagrams
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all seven activities
Attend a workshop on data communication
Show steps
Attending a workshop will provide you with practical tips and techniques for communicating data effectively.
Browse courses on
Data Storytelling
Show steps
Show steps
Show steps
- Research and find a workshop on data communication.
- Register for and attend the workshop.
Follow tutorials on advanced data visualization techniques
Show steps
Following tutorials will help you expand your knowledge of data visualization techniques and apply them to real-world scenarios.
Browse courses on
Interactive Dashboards
Show steps
Show steps
Show steps
- 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
Show steps
Working with real-world data sets will challenge you to apply your skills and make data-driven decisions.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a real-world data set that interests you.
- Explore the data and identify patterns and trends.
Mentor junior data professionals or students
Show steps
Mentoring others will reinforce your own understanding of the material and help you develop your communication skills.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- 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
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.
Business Analyst
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.
Data 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.
Market Researcher
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.
Financial Analyst
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.
Operations Research 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.
Quantitative 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.
Data Engineer
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.
Software Developer
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.
Web 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.
Database Administrator
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.
Data Warehouse Manager
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.
Big Data Analyst
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.
Machine Learning Engineer
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.
Data Scientist (AI)
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.
For more career information including salaries, visit:
OpenCourser.com/course/jhjlg2/communicating
Reading list
We've selected 15 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 Data Insights.
A classic work on data visualization that provides a comprehensive overview of the principles and techniques of effective visual communication.
Save
Provides a thorough overview of data visualization techniques, including the use of charts, graphs, and maps. It also covers the principles of visual perception and how to design effective visualizations.
A comprehensive reference on statistical learning, covering topics such as linear regression, logistic regression, and decision trees.
Focuses on how to communicate data insights effectively to a non-technical audience. It covers the principles of storytelling, data visualization, and presentation design.
Provides a comprehensive overview of deep learning techniques for natural language processing.
Provides a practical introduction to machine learning with Python, covering topics such as supervised and unsupervised learning, model evaluation, and deployment.
Save
Provides a practical introduction to data mining techniques, covering topics such as association rule mining, clustering, and text mining.
Provides a comprehensive overview of Hadoop, a distributed computing platform commonly used for big data processing.
Provides a comprehensive overview of Apache Spark, a distributed computing platform commonly used for big data processing.
Provides a broad overview of the big data revolution, covering topics such as the challenges and opportunities of big data, and its impact on business and society.
Provides a broad overview of data science, covering topics such as data mining, machine learning, and statistical modeling.
Save
Provides a practical introduction to machine learning for business professionals, covering topics such as supervised and unsupervised learning, model evaluation, and deployment.
Provides a comprehensive introduction to Python for data analysis, covering topics such as data manipulation, visualization, and statistical modeling.
Provides a comprehensive overview of dimensional modeling, a data modeling technique commonly used in data warehouses.
A beginner-friendly guide to data analysis with Python, covering topics such as data wrangling, visualization, and machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jhjlg2/communicating
Share
Similar courses
Here are nine courses similar to
Communicating Data Insights.
Experimental Design for Data Analysis
OpenCourser.com/course/czsesd/experimental
Experimental Design for Data Analysis
Most relevant
Certified Analytics Professional: Deployment
OpenCourser.com/course/ynv1yk/certified
Certified Analytics Professional: Deployment
Building Candlestick Charts with Microsoft Excel
OpenCourser.com/course/iee1pm/building
Building Candlestick Charts with Microsoft Excel
Design a Factor Analysis Using Survey Data in Google Sheets
OpenCourser.com/course/0abqzw/design
Design a Factor Analysis Using Survey Data in Google...
Designing Machine Learning Solutions on Microsoft Azure
OpenCourser.com/course/k4wmhn/designing
Designing Machine Learning Solutions on Microsoft Azure
Unsupervised Learning and Its Applications in Marketing
OpenCourser.com/course/ix0j72/unsupervised
Unsupervised Learning and Its Applications in Marketing
Data Mining and the Analytics Workflow
OpenCourser.com/course/ofz017/data
Data Mining and the Analytics Workflow
Power Analysis in AC Circuits
OpenCourser.com/course/bi8ksw/power
Power Analysis in AC Circuits
Automating Data Extraction from Documents Using NLP
OpenCourser.com/course/aoud4z/automating
Automating Data Extraction from Documents Using NLP
Time
147 hours
Level
Advanced
Via
Pluralsight
Instructor
Janani Ravi
Language
English
Good to know
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
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser