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Jordan Morrow
The world of analytics is complex and sometimes difficult to understand. This Executive Briefing will shed light on two of the main levels of analytics: helping organizations properly build their data and analytical puzzle.
Read more
The world of analytics is complex and sometimes difficult to understand. This Executive Briefing will shed light on two of the main levels of analytics: helping organizations properly build their data and analytical puzzle.
Read more
The world of analytics is complex and sometimes difficult to understand. This Executive Briefing will shed light on two of the main levels of analytics: helping organizations properly build their data and analytical puzzle.
Data and executive leaders need to understand the whole data and analytical picture in order to capitalize on the digital world. In this course, Merging Predictive and Prescriptive Analytics with Data Literacy: Executive Briefing, you will learn foundational knowledge of predictive and prescriptive analytics. First, you will learn about the full analytical puzzle. Next, you will discover more about predictive and prescriptive analytics. Finally, you will explore how data literacy wraps it all together. When you're finished with this course, you will have the knowledge needed to help drive better data and analytical success.
Register for this course and see more details by visiting:
OpenCourser.com/course/8leo7a/merging
What's inside
Syllabus
Gaining Knowledge of the Analytical Landscape
Understanding the World of Predictive and Prescriptive Analytics
Fitting the Puzzle of Analytics Together
Read more
Syllabus
Gaining Knowledge of the Analytical Landscape
Understanding the World of Predictive and Prescriptive Analytics
Fitting the Puzzle of Analytics Together
Read more
Utilizing Data Literacy to Glue the Puzzle Together
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores tools and concepts that are widely used in business
Builds a solid foundation in data analytics, enabling learners to progress into more advanced topics
Teaches the entire analytical landscape, helping learners see how different tools fit together
Enhances data literacy, which is foundational for data and analytics success
Requires no prerequisites, making it accessible to learners of all levels
Taught by Jordan Morrow, a recognized expert in analytics
Save this course
Save Merging Predictive and Prescriptive Analytics with Data Literacy: Executive Briefing to your list so you can find it easily later:
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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 Merging Predictive and Prescriptive Analytics with Data Literacy: Executive Briefing with these
activities:
Attend a data analytics meetup
Show steps
Connect with professionals, expand your network, and stay up-to-date on industry trends by attending a meetup.
Browse courses on
Data Analytics
Show steps
-
Find a data analytics meetup in your area
-
Attend the meetup and network with other attendees
Review foundational statistics
Show steps
Gain stronger foundation in statistics to support your work in this course.
View
Probability & Statistics for Engineers &...
on Amazon
Show steps
-
Find and purchase your copy of Probability and Statistics for Engineers and Scientists
-
Read chapters 1 through 3
-
Attempt exercises and answer practice problems at the end of chapters 1 through 3
Solve practice problems on data analysis
Show steps
Improve your problem-solving abilities and solidify understanding of data analysis by solving practice problems.
Browse courses on
Data Analysis
Show steps
-
Find a set of practice problems
-
Attempt to solve the problems using the concepts learned in the course
-
Review your solutions and identify areas for improvement
Five other activities
Expand to see all activities and additional details
Show all eight activities
Write a blog post about linear regression
Show steps
Reinforce concepts on linear regression by explaining it to others through a blog post.
Browse courses on
Linear Regression
Show steps
-
Choose a topic for your blog post
-
Research linear regression
-
Write your blog post
Follow a tutorial on prescriptive analytics
Show steps
Gain additional insights and practice prescriptive analytics through following a guided tutorial.
Browse courses on
Prescriptive Analytics
Show steps
-
Find a tutorial on prescriptive analytics
-
Follow the steps in the tutorial
-
Complete the exercises in the tutorial
Develop your own predictive analysis software
Show steps
Develop a solid understanding of predictive analytics concepts by implementing them yourself.
Browse courses on
Predictive Analysis
Show steps
-
Choose a programming language for the project
-
Identify a set of features for the model
-
Develop a machine learning algorithm for the model
-
Train and evaluate the model
Participate in a data analysis workshop
Show steps
Apply concepts and techniques in a hands-on setting to enhance your practical skills.
Browse courses on
Data Analysis
Show steps
-
Find a data analysis workshop in your area
-
Register for the workshop
-
Attend the workshop and participate in the activities
Develop a dashboard to track key metrics
Show steps
Develop a practical application of dashboards to reinforce concepts.
Browse courses on
Data Visualization
Show steps
-
Identify the key metrics to track
-
Design the dashboard
-
Develop the dashboard
Attend a data analytics meetup
Show steps
Connect with professionals, expand your network, and stay up-to-date on industry trends by attending a meetup.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Find a data analytics meetup in your area
- Attend the meetup and network with other attendees
Review foundational statistics
Show steps
Gain stronger foundation in statistics to support your work in this course.
View
Probability & Statistics for Engineers &...
on Amazon
Show steps
Show steps
Show steps
- Find and purchase your copy of Probability and Statistics for Engineers and Scientists
- Read chapters 1 through 3
- Attempt exercises and answer practice problems at the end of chapters 1 through 3
Solve practice problems on data analysis
Show steps
Improve your problem-solving abilities and solidify understanding of data analysis by solving practice problems.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a set of practice problems
- Attempt to solve the problems using the concepts learned in the course
- Review your solutions and identify areas for improvement
Five other activities
Expand to see all activities and additional details
Show all eight activities
Write a blog post about linear regression
Show steps
Reinforce concepts on linear regression by explaining it to others through a blog post.
Browse courses on
Linear Regression
Show steps
Show steps
Show steps
- Choose a topic for your blog post
- Research linear regression
- Write your blog post
Follow a tutorial on prescriptive analytics
Show steps
Gain additional insights and practice prescriptive analytics through following a guided tutorial.
Browse courses on
Prescriptive Analytics
Show steps
Show steps
Show steps
- Find a tutorial on prescriptive analytics
- Follow the steps in the tutorial
- Complete the exercises in the tutorial
Develop your own predictive analysis software
Show steps
Develop a solid understanding of predictive analytics concepts by implementing them yourself.
Browse courses on
Predictive Analysis
Show steps
Show steps
Show steps
- Choose a programming language for the project
- Identify a set of features for the model
- Develop a machine learning algorithm for the model
- Train and evaluate the model
Participate in a data analysis workshop
Show steps
Apply concepts and techniques in a hands-on setting to enhance your practical skills.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a data analysis workshop in your area
- Register for the workshop
- Attend the workshop and participate in the activities
Develop a dashboard to track key metrics
Show steps
Develop a practical application of dashboards to reinforce concepts.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify the key metrics to track
- Design the dashboard
- Develop the dashboard
Career center
Learners who complete Merging Predictive and Prescriptive Analytics with Data Literacy: Executive Briefing will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts build a foundation in predictive and prescriptive analytics, which help them find trends and make better business predictions. This course may help students develop the skills needed to describe data using descriptive statistics, perform advanced statistical analysis, use mathematical modeling to guide business decisions, and visualize and communicate data insights through dashboards, presentations, and reports.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. This course may be useful for students interested in learning more about the analytical landscape and how to use data literacy to glue the puzzle together.
Analytics Manager
Analytics Manager
Analytics Managers oversee the collection, analysis, and interpretation of data to help businesses make better decisions. This course may be useful for students interested in learning more about the analytical landscape and how to use data literacy to glue the puzzle together.
Data Scientist
Data Scientist
Data Scientists use data to build predictive models and make business predictions. This course may be useful for students interested in learning more about predictive and prescriptive analytics.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. This course may be useful for students interested in learning more about predictive and prescriptive analytics.
Database Administrator
Database Administrator
Database Administrators maintain databases. This course may be useful for students interested in learning more about the analytical landscape and how to use data literacy to glue the puzzle together.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines. This course may be useful for students interested in learning more about the analytical landscape and how to use data literacy to glue the puzzle together.
Data Architect
Data Architect
Data Architects design and build data systems. This course may be useful for students interested in learning more about the analytical landscape and how to use data literacy to glue the puzzle together.
Statistician
Statistician
Statisticians use data to make inferences about populations. This course may be useful for students interested in learning more about predictive and prescriptive analytics.
Market Researcher
Market Researcher
Market Researchers use data to understand customer needs. This course may be useful for students interested in learning more about predictive and prescriptive analytics.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to solve business problems. This course may be useful for students interested in learning more about predictive and prescriptive analytics.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. This course may be useful for students interested in learning more about predictive and prescriptive analytics.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and mitigate risks. This course may be useful for students interested in learning more about predictive and prescriptive analytics.
Data Governance Officer
Data Governance Officer
Data Governance Officers develop and implement policies and procedures for the management of data. This course may be useful for students interested in learning more about the analytical landscape and how to use data literacy to glue the puzzle together.
Chief Data Officer
Chief Data Officer
Chief Data Officers oversee the use of data within an organization. This course may be useful for students interested in learning more about the analytical landscape and how to use data literacy to glue the puzzle together.
For more career information including salaries, visit:
OpenCourser.com/course/8leo7a/merging
Reading list
We've selected 12 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
Merging Predictive and Prescriptive Analytics with Data Literacy: Executive Briefing.
Save
Provides a comprehensive overview of predictive analytics, including its history, methods, and applications. It valuable resource for anyone who wants to learn more about this field.
Provides a comprehensive overview of the data science process, from data collection to model deployment. It valuable resource for anyone who wants to learn more about this field.
Save
Provides a comprehensive overview of deep learning, including its methods and applications. It valuable resource for anyone who wants to learn more about this field.
Provides a practical guide to big data analytics, including how to collect, clean, and analyze big data. It valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of statistical learning, including its methods and applications. It valuable resource for anyone who wants to learn more about this field.
Save
Provides a practical guide to data mining, including how to collect, clean, and analyze data. It valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of information theory, inference, and learning algorithms. It valuable resource for anyone who wants to learn more about these topics.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It valuable resource for anyone who wants to learn more about this field.
Save
Provides a comprehensive overview of pattern recognition and machine learning. It valuable resource for anyone who wants to learn more about these topics.
Provides a comprehensive overview of reinforcement learning. It valuable resource for anyone who wants to learn more about this field.
Provides a comprehensive overview of linear algebra. It valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of the calculus of variations. It valuable resource for anyone who wants to learn more about this topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8leo7a/merging
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Time
11 hours
Level
Introductory
Via
Pluralsight
Instructor
Jordan Morrow
Language
English
Good to know
Explores tools and concepts that are widely used in business
Builds a solid foundation in data analytics, enabling learners to progress into more advanced topics
Teaches the entire analytical landscape, helping learners see how different tools fit together
Enhances data literacy, which is foundational for data and analytics success
Requires no prerequisites, making it accessible to learners of all levels
Taught by Jordan Morrow, a recognized expert in analytics
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