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Jordan Morrow
This Executive Briefing will empower the user with knowledge and understanding on the 4-levels of analytics, how they fit in to the world of data and analytical strategy, and how insight and observations work together.
Read more
This Executive Briefing will empower the user with knowledge and understanding on the 4-levels of analytics, how they fit in to the world of data and analytical strategy, and how insight and observations work together.
Read more
This Executive Briefing will empower the user with knowledge and understanding on the 4-levels of analytics, how they fit in to the world of data and analytical strategy, and how insight and observations work together.
Have you ever wondering where to get started when it comes to making data-based decisions? In this course, Utilizing Insights and Observations with Data, you will learn foundational knowledge of and gain the ability to understand the difference between observations and insights, including descriptive and diagnostic analytics. First you will learn about the analytical world, including the four levels of analytics. Next, you will jump into both descriptive (or observational) analytics and diagnostic (or insight analytics) to gain a better understanding of these pieces in analytics. Finally, you will tie these pieces together into the world of data literacy. When you are finished with this course, you will have the skills and knowledge of utilizing insights and observations with data needed to succeed more with data and analytical strategy.
Register for this course and see more details by visiting:
OpenCourser.com/course/4m0143/utilizing
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What's inside
Syllabus
Utilizing the Power of Analytics for Success
Understanding the World of Observations and Descriptive Analytics
Harnessing the Power of Insights
Read more
Syllabus
Utilizing the Power of Analytics for Success
Understanding the World of Observations and Descriptive Analytics
Harnessing the Power of Insights
Read more
Utilizing Data Literacy to Improve in Insight and Observations
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches descriptive and diagnostic analytics to improve insight and observations, which is standard in data analysis
Taught by Jordan Morrow, who is recognized for their work in analytics
Develops foundational knowledge of analytics, which is a core skill for data-based decision making
Examines the 4-levels of analytics, which is highly relevant to data and analytical strategy
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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 Utilizing Insights and Observations with Data: Executive Briefing with these
activities:
Review Basic Statistics Concepts
Show steps
Ensure a strong foundation by reviewing basic statistics concepts before starting the course.
Browse courses on
Probability
Show steps
-
Go through your notes from previous statistics courses.
-
Solve practice problems to refresh your understanding.
-
Clarify any doubts you may have.
Read 'Data Analytics for Dummies'
Show steps
Gain a comprehensive understanding of data analytics concepts in preparation for the course.
View
Data Just Right
on Amazon
Show steps
-
Read Chapter 1 to understand the basics of data analytics.
-
Focus on Chapters 2-4 to get a deeper understanding of observation and insight analytics.
Complete Practice Problems
Show steps
Build a stronger foundation by practicing the basics of data analytics before starting the course.
Browse courses on
Data Analytics
Show steps
-
Identify and collect relevant data sources.
-
Use analytical tools to process and analyze data.
-
Interpret and visualize data to draw insights.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Compile Course Resources
Show steps
Stay organized by gathering all relevant course materials in one place.
Show steps
-
Organize lecture notes, assignments, and quizzes.
-
Create a system for storing and accessing materials.
-
Review materials regularly to enhance retention.
Follow Data Analytics Tutorials
Show steps
Supplement your learning by exploring in-depth tutorials on specific data analytics topics.
Browse courses on
Descriptive Analytics
Show steps
-
Identify topics you want to reinforce.
-
Search for tutorials on reputable platforms like Coursera or edX.
-
Follow the tutorials to enhance your understanding.
Join a Study Group
Show steps
Collaborate with peers to discuss course concepts, share insights, and enhance your learning experience.
Show steps
-
Connect with classmates or join online forums.
-
Set up regular study sessions to discuss course materials.
-
Share perspectives, ask questions, and work together to clarify concepts.
Volunteer at a Non-Profit Organization
Show steps
Apply your data analytics skills in a practical setting and gain valuable experience.
Show steps
-
Identify organizations that align with your interests.
-
Inquire about opportunities to assist with data-driven projects.
-
Use analytical techniques to gather, analyze, and interpret data.
-
Share your insights and recommendations to support the organization's decision-making.
Review Basic Statistics Concepts
Show steps
Ensure a strong foundation by reviewing basic statistics concepts before starting the course.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Go through your notes from previous statistics courses.
- Solve practice problems to refresh your understanding.
- Clarify any doubts you may have.
Read 'Data Analytics for Dummies'
Show steps
Gain a comprehensive understanding of data analytics concepts in preparation for the course.
View
Data Just Right
on Amazon
Show steps
Show steps
Show steps
- Read Chapter 1 to understand the basics of data analytics.
- Focus on Chapters 2-4 to get a deeper understanding of observation and insight analytics.
Complete Practice Problems
Show steps
Build a stronger foundation by practicing the basics of data analytics before starting the course.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify and collect relevant data sources.
- Use analytical tools to process and analyze data.
- Interpret and visualize data to draw insights.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Compile Course Resources
Show steps
Stay organized by gathering all relevant course materials in one place.
Show steps
Show steps
Show steps
- Organize lecture notes, assignments, and quizzes.
- Create a system for storing and accessing materials.
- Review materials regularly to enhance retention.
Follow Data Analytics Tutorials
Show steps
Supplement your learning by exploring in-depth tutorials on specific data analytics topics.
Browse courses on
Descriptive Analytics
Show steps
Show steps
Show steps
- Identify topics you want to reinforce.
- Search for tutorials on reputable platforms like Coursera or edX.
- Follow the tutorials to enhance your understanding.
Join a Study Group
Show steps
Collaborate with peers to discuss course concepts, share insights, and enhance your learning experience.
Show steps
Show steps
Show steps
- Connect with classmates or join online forums.
- Set up regular study sessions to discuss course materials.
- Share perspectives, ask questions, and work together to clarify concepts.
Volunteer at a Non-Profit Organization
Show steps
Apply your data analytics skills in a practical setting and gain valuable experience.
Show steps
Show steps
Show steps
- Identify organizations that align with your interests.
- Inquire about opportunities to assist with data-driven projects.
- Use analytical techniques to gather, analyze, and interpret data.
- Share your insights and recommendations to support the organization's decision-making.
Career center
Learners who complete Utilizing Insights and Observations with Data: Executive Briefing will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists leverage insights and observations from data to create solutions in business, science, technology, and other fields. This Executive Briefing, Utilizing Insights and Observations with Data, can help you in your role as a Data Scientist by building your foundation of analytical knowledge and by showing you how insights and observations work together to drive better data-based decisions.
Data Analyst
Data Analyst
Data Analysts use insights and observations from their study of data to help businesses understand their performance and identify opportunities for improvement. This Executive Briefing, Utilizing Insights and Observations with Data, can help you to be a great Data Analyst by introducing you to the world of data and analytical strategy and by helping you learn how to utilize insights and observations from data to drive better decision-making.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to generate insights and observations that help businesses better understand their performance and identify areas for improvement. This Executive Briefing, Utilizing Insights and Observations with Data, can help you to be a great BI Analyst by showing you how to get started with data-based decision-making and by teaching you how insights and observations work together.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior and trends. This Executive Briefing, Utilizing Insights and Observations with Data, would be of use to a Market Researcher because it provides a foundation in analytical tools and methodologies.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts provide insights that help businesses make better decisions about how to operate. This Executive Briefing, Utilizing Insights and Observations with Data, may be of use to an Operations Research Analyst by showing you how to use data to identify opportunities for improvement in organizational efficiency.
Data Engineer
Data Engineer
Data Engineers build and maintain systems that collect and process data. This Executive Briefing, Utilizing Insights and Observations from Data, may be of use to a Data Engineer by showing you how to use observations and insights to help build and maintain data systems.
Statistician
Statistician
Statisticians use data to interpret information and create new knowledge. This Executive Briefing, Utilizing Insights and Observations from Data, may be of use to a Statistician by introducing them to analytical tools and methodologies.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to develop and test mathematical and statistical models. This Executive Briefing, Utilizing Insights and Observations with Data, may be useful to a Quantitative Analyst by strengthening their understanding of analytical tools and methodologies.
Financial Analyst
Financial Analyst
Financial Analysts use data to make recommendations about investments and financial strategy. This Executive Briefing, Utilizing Insights and Observations with Data, may be useful to a Financial Analyst as part of their development in data-based methodologies and analytical tools.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks to an organization. This Executive Briefing, Utilizing Insights and Observations with Data, may be useful to a Risk Analyst as part of their continuing professional development, by filling foundational gaps in data-based methodologies and analytical tools.
Software Engineer
Software Engineer
Software Engineers develop and maintain software systems. This Executive Briefing, Utilizing Insights and Observations with Data, may be useful to a Software Engineer by providing valuable foundational knowledge of the collection, analysis, and interpretation of data.
Product Manager
Product Manager
Product Managers develop and manage products. While not directly related to the role of a Product Manager, this Executive Briefing, Utilizing Insights and Observations with Data, may be useful as part of their continuing professional development by providing foundational knowledge of the collection, analysis, and interpretation of data.
Database Administrator
Database Administrator
Database Administrators administer and maintain databases. This Executive Briefing, Utilizing Insights and Observations with Data, may be useful to a Database Administrator by providing foundational knowledge of the collection, analysis, and interpretation of data, which are relevant to maintaining databases.
IT Project Manager
IT Project Manager
IT Project Managers plan and manage IT projects. This Executive Briefing, Utilizing Insights and Observations with Data, may be useful for an IT Project Manager as part of their continuing professional development by providing foundational knowledge of the collection, analysis, and interpretation of data.
Business Analyst
Business Analyst
Business Analysts study business needs to improve efficiency. This Executive Briefing, Utilizing Insights and Observations with Data, may be useful to a Business Analyst as part of their continuing professional development by providing foundational knowledge of the collection, analysis, and interpretation of data.
For more career information including salaries, visit:
OpenCourser.com/course/4m0143/utilizing
Reading list
We've selected eight 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
Utilizing Insights and Observations with Data: Executive Briefing.
Classic reference on data warehousing and dimensional modeling. It provides a step-by-step guide to designing and implementing data warehouses that support business intelligence and analytics applications.
Offers a practical guide to implementing analytics in business organizations. It provides insights into the challenges and opportunities of data-driven decision-making and includes real-life case studies to illustrate best practices.
Provides a practical guide to using data analytics in business decision-making. It covers the entire analytics process, from data collection and preparation to analysis and reporting, and includes case studies to illustrate best practices.
Provides a comprehensive overview of data mining techniques and their applications in business intelligence. It covers data mining algorithms, model evaluation, and case studies, and is suitable for both beginners and experienced data analysts.
Save
Offers a practical guide to data visualization, covering the principles of visual perception, design, and best practices. It provides hands-on examples using popular data visualization tools.
Save
Provides a comprehensive overview of machine learning for data analytics. It covers a wide range of topics, from supervised learning to unsupervised learning, and provides practical examples of how to use machine learning for data analysis.
Provides a practical guide to data visualization for business intelligence. It covers a wide range of topics, such as data visualization principles, data visualization techniques, and data visualization tools.
Provides a practical guide to data mining for business intelligence. It covers a wide range of topics, such as data mining concepts, data mining techniques, and data mining applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4m0143/utilizing
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Time
15 hours
Level
Introductory
Via
Pluralsight
Instructor
Jordan Morrow
Language
English
Good to know
Teaches descriptive and diagnostic analytics to improve insight and observations, which is standard in data analysis
Taught by Jordan Morrow, who is recognized for their work in analytics
Develops foundational knowledge of analytics, which is a core skill for data-based decision making
Examines the 4-levels of analytics, which is highly relevant to data and analytical strategy
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