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Jordan Morrow
The Language of Data: Executive Briefing discusses the importance of speaking the appropriate language of data, and how communicating correctly helps open the door to data and analytical success.
Read more
The Language of Data: Executive Briefing discusses the importance of speaking the appropriate language of data, and how communicating correctly helps open the door to data and analytical success.
Read more
The Language of Data: Executive Briefing discusses the importance of speaking the appropriate language of data, and how communicating correctly helps open the door to data and analytical success.
Tech leaders need a fundamental understanding of the tools and technologies their teams use to build solutions. In this course, The Language of Data: Executive Briefing, you will learn the foundational knowledge of the language of data and gain knowledge on how speaking the correct language of data will open doors to data and analytical success. First, you will learn what the language of data is and how it pertains to data, analytical, and data literacy strategy. Second, you will learn how speaking the language of data can help take down data silos. Finally, you will learn how data fluency and data literacy go together. When you’re finished with this course, you will have the skills and knowledge needed to help your organization speak the language of data.
Register for this course and see more details by visiting:
OpenCourser.com/course/k65v8b/the
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What's inside
Syllabus
Understanding the Language of Data in Data and Analytical Strategy
Unlocking Data, Analytical, and Data Literacy Strategy through Data Fluency
Read more
Syllabus
Understanding the Language of Data in Data and Analytical Strategy
Unlocking Data, Analytical, and Data Literacy Strategy through Data Fluency
Read more
Overcoming Data Silos with the Language of Data
Developing Data Literacy through Data Fluency
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops data fluency and data literacy, which are necessary to overcome data silos and maximize data and analytical success
Explores the language of data in data and analytical strategy, which is a growing need for organizations
Provides a foundation for understanding the tools and technologies used in data and analytical solutions
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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 The Language of Data: Executive Briefing with these
activities:
Review statistical analysis concepts
Show steps
Enhance your understanding of statistical concepts and techniques to support your data analysis journey.
Browse courses on
Statistical Analysis
Show steps
-
Review notes or textbooks on statistical concepts like mean, variance, and standard deviation.
-
Complete practice exercises on data analysis techniques.
-
Apply statistical methods to analyze sample datasets.
Review data management fundamentals
Show steps
Solidify your understanding of data management principles and best practices to prepare for the course.
Browse courses on
Data Management
Show steps
-
Review notes or textbooks on data management concepts.
-
Complete practice exercises on data organization and storage.
-
Create a mind map or diagram to summarize key data management techniques.
Connect with data analytics professionals
Show steps
Seek guidance and support from experienced data analytics professionals to enhance your learning.
Show steps
-
Attend industry events or webinars to meet data analytics professionals.
-
Reach out to individuals on LinkedIn or professional networking platforms.
-
Request informational interviews to learn about their experiences and insights.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Engage in discussions on data fluency
Show steps
Connect with other learners to exchange knowledge and perspectives on the language of data.
Show steps
-
Join online discussion forums or study groups focused on data fluency
-
Participate in discussions, ask questions, and share your insights
-
Collaborate with peers on projects or assignments related to data fluency
Explore data visualization tools
Show steps
Gain hands-on experience with data visualization tools used in the industry.
Browse courses on
Data Visualization
Show steps
-
Follow online tutorials on data visualization platforms like Tableau or Power BI.
-
Practice creating charts, graphs, and dashboards using sample datasets.
-
Share your visualizations with peers or mentors for feedback.
Explore resources for further understanding
Show steps
Supplement your coursework with external resources to enhance your comprehension and gain different perspectives.
Show steps
-
Search for online tutorials or courses on the topic of data fluency
-
Follow guided tutorials to gain a deeper understanding of the concepts
-
Explore online forums and discussion groups for questions and insights
Attend industry events and meetups
Show steps
Expand your network and learn from experts in the field.
Show steps
-
Identify relevant industry events or meetups focused on data fluency
-
Attend the events and actively participate in discussions
-
Network with professionals in the field and exchange insights
Practice data querying and manipulation
Show steps
Strengthen your data querying and manipulation skills by solving practical problems.
Browse courses on
SQL
Show steps
-
Complete coding challenges on data manipulation platforms like LeetCode or HackerRank.
-
Work on practice exercises involving data cleaning, aggregation, and transformation.
-
Review code solutions and discuss best practices with mentors or peers.
Complete data fluency practice exercises
Show steps
Reinforce your understanding of the language of data through practical exercises.
Show steps
-
Find practice exercises or quizzes on data fluency
-
Regularly complete these exercises to test your understanding
-
Review the solutions and explanations to improve your accuracy
Develop a glossary of data fluency terms
Show steps
Solidify your understanding by creating a comprehensive resource that defines and explains key terms.
Show steps
-
Compile a list of essential data fluency terms
-
Write clear and concise definitions for each term
-
Optionally, include examples or illustrations to enhance comprehension
Discuss data analytics case studies
Show steps
Engage in discussions with peers to analyze real-world data analytics scenarios and learn from different perspectives.
Show steps
-
Identify a data analytics case study or project.
-
Form a study group with peers.
-
Analyze the case study, discussing data sources, methods, and insights.
-
Present your findings and engage in peer feedback.
Contribute to open-source projects related to data fluency
Show steps
Enhance your practical skills and make a valuable contribution to the community.
Show steps
-
Identify open-source projects that focus on data fluency or related topics
-
Review the codebase and identify areas where you can contribute
-
Submit pull requests with well-written code and clear documentation
-
Engage with other contributors and learn from their expertise
Develop a data analysis dashboard
Show steps
Apply your knowledge and skills to create a data analysis dashboard that addresses a business problem or question.
Browse courses on
Data Analytics
Show steps
-
Identify a business problem or question.
-
Gather and analyze relevant data.
-
Design and develop a data visualization dashboard using tools like Tableau or Power BI.
-
Present your dashboard and findings to peers or mentors for feedback.
Design and implement a data fluency training program
Show steps
Apply your knowledge to create a valuable resource that can benefit others.
Show steps
-
Define the objectives and target audience for the training program
-
Develop a curriculum that covers key concepts and practical exercises
-
Create training materials, such as presentations, handouts, and online modules
-
Deliver the training program to a group of learners
-
Evaluate the effectiveness of the program and make improvements as needed
Review statistical analysis concepts
Show steps
Enhance your understanding of statistical concepts and techniques to support your data analysis journey.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Review notes or textbooks on statistical concepts like mean, variance, and standard deviation.
- Complete practice exercises on data analysis techniques.
- Apply statistical methods to analyze sample datasets.
Review data management fundamentals
Show steps
Solidify your understanding of data management principles and best practices to prepare for the course.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Review notes or textbooks on data management concepts.
- Complete practice exercises on data organization and storage.
- Create a mind map or diagram to summarize key data management techniques.
Connect with data analytics professionals
Show steps
Seek guidance and support from experienced data analytics professionals to enhance your learning.
Show steps
Show steps
Show steps
- Attend industry events or webinars to meet data analytics professionals.
- Reach out to individuals on LinkedIn or professional networking platforms.
- Request informational interviews to learn about their experiences and insights.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Engage in discussions on data fluency
Show steps
Connect with other learners to exchange knowledge and perspectives on the language of data.
Show steps
Show steps
Show steps
- Join online discussion forums or study groups focused on data fluency
- Participate in discussions, ask questions, and share your insights
- Collaborate with peers on projects or assignments related to data fluency
Explore data visualization tools
Show steps
Gain hands-on experience with data visualization tools used in the industry.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Follow online tutorials on data visualization platforms like Tableau or Power BI.
- Practice creating charts, graphs, and dashboards using sample datasets.
- Share your visualizations with peers or mentors for feedback.
Explore resources for further understanding
Show steps
Supplement your coursework with external resources to enhance your comprehension and gain different perspectives.
Show steps
Show steps
Show steps
- Search for online tutorials or courses on the topic of data fluency
- Follow guided tutorials to gain a deeper understanding of the concepts
- Explore online forums and discussion groups for questions and insights
Attend industry events and meetups
Show steps
Expand your network and learn from experts in the field.
Show steps
Show steps
Show steps
- Identify relevant industry events or meetups focused on data fluency
- Attend the events and actively participate in discussions
- Network with professionals in the field and exchange insights
Practice data querying and manipulation
Show steps
Strengthen your data querying and manipulation skills by solving practical problems.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Complete coding challenges on data manipulation platforms like LeetCode or HackerRank.
- Work on practice exercises involving data cleaning, aggregation, and transformation.
- Review code solutions and discuss best practices with mentors or peers.
Complete data fluency practice exercises
Show steps
Reinforce your understanding of the language of data through practical exercises.
Show steps
Show steps
Show steps
- Find practice exercises or quizzes on data fluency
- Regularly complete these exercises to test your understanding
- Review the solutions and explanations to improve your accuracy
Develop a glossary of data fluency terms
Show steps
Solidify your understanding by creating a comprehensive resource that defines and explains key terms.
Show steps
Show steps
Show steps
- Compile a list of essential data fluency terms
- Write clear and concise definitions for each term
- Optionally, include examples or illustrations to enhance comprehension
Discuss data analytics case studies
Show steps
Engage in discussions with peers to analyze real-world data analytics scenarios and learn from different perspectives.
Show steps
Show steps
Show steps
- Identify a data analytics case study or project.
- Form a study group with peers.
- Analyze the case study, discussing data sources, methods, and insights.
- Present your findings and engage in peer feedback.
Contribute to open-source projects related to data fluency
Show steps
Enhance your practical skills and make a valuable contribution to the community.
Show steps
Show steps
Show steps
- Identify open-source projects that focus on data fluency or related topics
- Review the codebase and identify areas where you can contribute
- Submit pull requests with well-written code and clear documentation
- Engage with other contributors and learn from their expertise
Develop a data analysis dashboard
Show steps
Apply your knowledge and skills to create a data analysis dashboard that addresses a business problem or question.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify a business problem or question.
- Gather and analyze relevant data.
- Design and develop a data visualization dashboard using tools like Tableau or Power BI.
- Present your dashboard and findings to peers or mentors for feedback.
Design and implement a data fluency training program
Show steps
Apply your knowledge to create a valuable resource that can benefit others.
Show steps
Show steps
Show steps
- Define the objectives and target audience for the training program
- Develop a curriculum that covers key concepts and practical exercises
- Create training materials, such as presentations, handouts, and online modules
- Deliver the training program to a group of learners
- Evaluate the effectiveness of the program and make improvements as needed
Career center
Learners who complete The Language of Data: Executive Briefing will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of data and analytics to solve business problems. This course, The Language of Data: Executive Briefing, can help Data Scientists better understand the language of data and how to communicate effectively with stakeholders. This course can help Data Scientists advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course, The Language of Data: Executive Briefing, can help Data Analysts better understand the language of data and how to communicate effectively with stakeholders. This course can help Data Analysts advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Data Engineer
Data Engineer
Data Engineers design and build data systems. This course, The Language of Data: Executive Briefing, can help Data Engineers better understand the language of data and how to communicate effectively with stakeholders. This course can help Data Engineers advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Business Analyst
Business Analyst
Business Analysts work with businesses to identify and solve problems. This course, The Language of Data: Executive Briefing, can help Business Analysts better understand the language of data and how to communicate effectively with stakeholders. This course can help Business Analysts advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Data Architect
Data Architect
Data Architects design and build data systems. This course, The Language of Data: Executive Briefing, can help Data Architects better understand the language of data and how to communicate effectively with stakeholders. This course can help Data Architects advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Statistician
Statistician
Statisticians use data to make informed decisions. This course, The Language of Data: Executive Briefing, can help Statisticians better understand the language of data and how to communicate effectively with stakeholders. This course can help Statisticians advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course, The Language of Data: Executive Briefing, can help Database Administrators better understand the language of data and how to communicate effectively with stakeholders. This course can help Database Administrators advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to solve business problems. This course, The Language of Data: Executive Briefing, can help Operations Research Analysts better understand the language of data and how to communicate effectively with stakeholders. This course can help Operations Research Analysts advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Market Researcher
Market Researcher
Market Researchers conduct research to help businesses understand their customers. This course, The Language of Data: Executive Briefing, can help Market Researchers better understand the language of data and how to communicate effectively with stakeholders. This course can help Market Researchers advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Chief Data Officer
Chief Data Officer
Chief Data Officers are responsible for the data strategy of an organization. This course, The Language of Data: Executive Briefing, can help Chief Data Officers better understand the language of data and how to communicate effectively with stakeholders. This course can help Chief Data Officers advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Information Security Manager
Information Security Manager
Information Security Managers are responsible for the security of data and information within an organization. This course, The Language of Data: Executive Briefing, can help Information Security Managers better understand the language of data and how to communicate effectively with stakeholders. This course can help Information Security Managers advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Data Quality Manager
Data Quality Manager
Data Quality Managers are responsible for the quality of data within an organization. This course, The Language of Data: Executive Briefing, can help Data Quality Managers better understand the language of data and how to communicate effectively with stakeholders. This course can help Data Quality Managers advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Data Governance Manager
Data Governance Manager
Data Governance Managers are responsible for the governance of data within an organization. This course, The Language of Data: Executive Briefing, can help Data Governance Managers better understand the language of data and how to communicate effectively with stakeholders. This course can help Data Governance Managers advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Data Privacy Manager
Data Privacy Manager
Data Privacy Managers are responsible for the privacy of data within an organization. This course, The Language of Data: Executive Briefing, can help Data Privacy Managers better understand the language of data and how to communicate effectively with stakeholders. This course can help Data Privacy Managers advance their careers by providing them with the skills and knowledge needed to be successful in this role.
Data Security Manager
Data Security Manager
Data Security Managers are responsible for the security of data within an organization. This course, The Language of Data: Executive Briefing, can help Data Security Managers better understand the language of data and how to communicate effectively with stakeholders. This course can help Data Security Managers advance their careers by providing them with the skills and knowledge needed to be successful in this role.
For more career information including salaries, visit:
OpenCourser.com/course/k65v8b/the
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
The Language of Data: Executive Briefing.
Save
This textbook provides a comprehensive overview of deep learning.
This textbook provides a comprehensive overview of machine learning from a Bayesian and optimization perspective.
This textbook provides a comprehensive overview of reinforcement learning.
Focuses on the language of data and how to use it to improve communication and decision-making within an organization.
This textbook provides a comprehensive overview of natural language processing with Python.
Save
This textbook provides a comprehensive overview of computer vision algorithms and applications.
Save
This textbook provides a comprehensive overview of statistical methods for data analysis.
Provides a foundation in the language of data and how it is used in data science and machine learning.
This textbook provides a comprehensive overview of data mining for business intelligence.
Focuses on the practical applications of big data and analytics in business.
Save
Provides a practical guide to data visualization for executives and business leaders.
Save
Provides a broad overview of the impact of big data on society and business.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/k65v8b/the
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Time
16 hours
Level
Introductory
Via
Pluralsight
Instructor
Jordan Morrow
Language
English
Good to know
Develops data fluency and data literacy, which are necessary to overcome data silos and maximize data and analytical success
Explores the language of data in data and analytical strategy, which is a growing need for organizations
Provides a foundation for understanding the tools and technologies used in data and analytical solutions
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