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Malavica Sridhar
Master the art of enterprise data storytelling with Udacity. Learn to create effective and impactful solutions for data governance that meets enterprise needs.
Prerequisite details
Read more
Master the art of enterprise data storytelling with Udacity. Learn to create effective and impactful solutions for data governance that meets enterprise needs.
Prerequisite details
Read more
Master the art of enterprise data storytelling with Udacity. Learn to create effective and impactful solutions for data governance that meets enterprise needs.
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Propositional logic
- Exploratory data analysis
- Basic spreadsheet use
- Basic computer literacy
- Basic descriptive statistics
- Spreadsheet functions
- Professional presentations
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/fjtbl3/data
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What's inside
Syllabus
In this lesson, we will introduce the topic of Story Telling and also go over the course outline, including a sneak peek at the 2 projects that are part of the course.
Read more
Syllabus
In this lesson, we will introduce the topic of Story Telling and also go over the course outline, including a sneak peek at the 2 projects that are part of the course.
Read more
In this lesson students will understand how to clearly articulate the problem statement that is driving the analysis, and why it matters.
In this lesson students will learn to build an analysis roadmap to stay efficient with your analysis time. An analysis roadmap consists of two key elements: (1) an issue tree and (2) a ghost deck.
In this mid-term project, apply the skills in structuring a data story on a Movies Metadata and practice defining your own problem statement and the analyses you plan to do.a
The data you work with is flawed and in this lesson students will learn where bias can be introduced in the collection, processing, and analysis process and call these caveats out.
This lesson ties everything together. It covers effective visualizations depending on the problem you are solving, and reviewing a data presentation end to end.
Building on the ghost deck, you will perform various analyses to identify the limitations and biases in data that affect the recommendations, and you will now create a final presentation.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for community college students planning to transfer to 4-year institutions
Instructors have a solid reputation in the field
Emphasizes foundational math skills for students in Computer Science
May require students to purchase a graphing calculator
Save this course
Save Data Storytelling 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 Data Storytelling with these
activities:
Review statistical modeling
Show steps
Revisit statistical modeling concepts to solidify your foundation for the course.
Browse courses on
Statistical Modeling
Show steps
-
Review linear regression models.
-
Practice solving problems using logistic regression.
Join a study group
Show steps
Engage in discussions and share insights with peers to enhance comprehension and retention.
Show steps
-
Meet with a study group to discuss course material.
Complete coding exercises
Show steps
Test your data analysis skills by completing coding exercises related to the course.
Show steps
-
Identify the coding exercise to complete.
-
Solve the coding exercise.
-
Review the solution and identify areas for improvement.
One other activity
Expand to see all activities and additional details
Show all four activities
Build a dashboard
Show steps
Apply your data storytelling skills by creating a dashboard that effectively communicates insights.
Browse courses on
Dashboarding
Show steps
-
Determine the purpose and audience of the dashboard.
-
Select relevant data and metrics.
-
Design and implement the dashboard.
Review statistical modeling
Show steps
Revisit statistical modeling concepts to solidify your foundation for the course.
Browse courses on
Statistical Modeling
Show steps
Show steps
Show steps
- Review linear regression models.
- Practice solving problems using logistic regression.
Join a study group
Show steps
Engage in discussions and share insights with peers to enhance comprehension and retention.
Show steps
Show steps
Show steps
- Meet with a study group to discuss course material.
Complete coding exercises
Show steps
Test your data analysis skills by completing coding exercises related to the course.
Show steps
Show steps
Show steps
- Identify the coding exercise to complete.
- Solve the coding exercise.
- Review the solution and identify areas for improvement.
One other activity
Expand to see all activities and additional details
Show all four activities
Build a dashboard
Show steps
Apply your data storytelling skills by creating a dashboard that effectively communicates insights.
Browse courses on
Dashboarding
Show steps
Show steps
Show steps
- Determine the purpose and audience of the dashboard.
- Select relevant data and metrics.
- Design and implement the dashboard.
Career center
Learners who complete Data Storytelling will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses a variety of advanced techniques, including statistical modeling and machine learning, to uncover insights from data. They build and manage data pipelines, design experiments, and develop complex systems to analyze data. The course 'Data Storytelling' is a great way to build a foundation in the principles and practices of data governance and analysis, which are essential skills for Data Scientists. The course also covers data visualization and presentation techniques, which are essential for communicating insights effectively.
Data Analyst
Data Analyst
Data Analysts use their knowledge of statistics, programming, and data management to analyze data and extract insights. They work with a variety of data sources, from structured data in databases to unstructured data in text and images. The course 'Data Storytelling' is a valuable resource for Data Analysts because it provides a comprehensive overview of data analysis techniques, including data cleaning, data exploration, and hypothesis testing. The course also covers data visualization and presentation skills, which are essential for communicating insights effectively.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends, patterns, and opportunities for businesses. They work with stakeholders to define business requirements and develop reporting and analysis solutions. The course 'Data Storytelling' is a great fit for Business Intelligence Analysts because it provides a foundation in data governance, analysis, and visualization. The course also covers how to communicate data insights effectively to stakeholders, which is a critical skill for Business Intelligence Analysts.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the infrastructure and systems that store, process, and analyze data. They work with a variety of data technologies, from databases to data warehouses to big data platforms. The course 'Data Storytelling' is a may be useful for Data Engineers because it provides a solid understanding of data governance and data quality. The course also covers data visualization techniques, which can be helpful for communicating technical concepts to non-technical stakeholders.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists use data visualization tools and techniques to create visual representations of data. They work with data analysts and other stakeholders to communicate insights and trends. The course 'Data Storytelling' is a valuable resource for Data Visualization Specialists because it provides a comprehensive overview of data visualization techniques and principles. The course also covers how to communicate data insights effectively to stakeholders, which is a critical skill for Data Visualization Specialists.
Data Journalist
Data Journalist
Data Journalists use data to tell stories and inform the public. They work with data analysts and other journalists to research and write articles, reports, and visualizations. The course 'Data Storytelling' is a great fit for Data Journalists because it provides a foundation in data analysis, data visualization, and storytelling. The course also covers how to communicate data insights effectively to a general audience, which is a critical skill for Data Journalists.
Data Librarian
Data Librarian
Data Librarians manage and organize data collections. They work with researchers, students, and other stakeholders to provide access to data and information. The course 'Data Storytelling' is a may be useful for Data Librarians because it provides a foundation in data governance and data quality. The course also covers data visualization techniques, which can be helpful for communicating technical concepts to non-technical stakeholders.
Information Architect
Information Architect
Information Architects design and organize websites and other information systems. They work with users and stakeholders to understand their needs and develop systems that are easy to use and understand. The course 'Data Storytelling' is a may be useful for Information Architects because it provides a foundation in data governance and data quality. The course also covers data visualization techniques, which can be helpful for communicating technical concepts to non-technical stakeholders.
Knowledge Manager
Knowledge Manager
Knowledge Managers create and manage knowledge repositories. They work with experts and other stakeholders to capture, organize, and share knowledge. The course 'Data Storytelling' is a may be useful for Knowledge Managers because it provides a foundation in data governance and data quality. The course also covers data visualization techniques, which can be helpful for communicating technical concepts to non-technical stakeholders.
Museum curator
Museum curator
Museum Curators research, acquire, and preserve artifacts and specimens. They work with researchers, educators, and other stakeholders to develop and manage museum collections. The course 'Data Storytelling' is a may be useful for Museum Curators because it provides a foundation in data management and data preservation. The course also covers data visualization techniques, which can be helpful for communicating technical concepts to non-technical stakeholders.
Archivist
Archivist
Archivists acquire, preserve, and manage historical records. They work with researchers, educators, and other stakeholders to provide access to and preserve historical information. The course 'Data Storytelling' is a may be useful for Archivists because it provides a foundation in data management and data preservation. The course also covers data visualization techniques, which can be helpful for communicating technical concepts to non-technical stakeholders.
Librarian
Librarian
Librarians provide access to information and resources to patrons. They work with researchers, students, and other stakeholders to find and use information. The course 'Data Storytelling' is a may be useful for Librarians because it provides a foundation in data management and data literacy. The course also covers data visualization techniques, which can be helpful for communicating technical concepts to non-technical stakeholders.
Technical Writer
Technical Writer
Technical Writers create and manage technical documentation. They work with engineers, scientists, and other stakeholders to develop and maintain user manuals, white papers, and other technical documents. The course 'Data Storytelling' is a may be useful for Technical Writers because it provides a foundation in data management and data visualization. The course also covers how to communicate technical concepts effectively to a general audience, which is a critical skill for Technical Writers.
Instructional Designer
Instructional Designer
Instructional Designers create and manage learning and development programs. They work with educators, trainers, and other stakeholders to develop and deliver effective learning experiences. The course 'Data Storytelling' is a may be useful for Instructional Designers because it provides a foundation in data management and data visualization. The course also covers how to communicate technical concepts effectively to a general audience, which is a critical skill for Instructional Designers.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They work with stakeholders to define project goals, develop project plans, and manage project risks. The course 'Data Storytelling' is a may be useful for Project Managers because it provides a foundation in data management and data visualization. The course also covers how to communicate technical concepts effectively to a general audience, which is a critical skill for Project Managers.
For more career information including salaries, visit:
OpenCourser.com/course/fjtbl3/data
Reading list
We've selected nine 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
Data Storytelling.
Provides a comprehensive overview of data storytelling, including how to find and tell stories in your data, and how to use data to make decisions.
Provides a practical guide to data visualization, with a focus on how to use data to tell stories that are both informative and engaging.
Save
Provides a comprehensive overview of data visualization, including the principles of data visualization, the different types of data visualizations, and how to use data visualization to communicate your findings.
Save
Classic work on data visualization, and provides a wealth of information on the principles of data visualization, the different types of data visualizations, and how to use data visualization to communicate your findings.
Save
Provides a practical guide to data visualization, with a focus on how to use data visualization to communicate your findings in a clear and concise way.
Save
Provides a comprehensive overview of dashboard design, including the principles of dashboard design, the different types of dashboards, and how to use dashboards to communicate your findings.
Save
Provides a comprehensive overview of data visualization, with a focus on the principles of data visualization, the different types of data visualizations, and how to use data visualization to communicate your findings.
Provides a practical guide to data visualization using Python and JavaScript, including how to create different types of data visualizations, and how to use data visualization to communicate your findings.
Save
Provides a practical guide to data visualization using R, including how to create different types of data visualizations, and how to use data visualization to communicate your findings.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fjtbl3/data
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Effort
1 month
Via
Udacity
Instructor
Malavica Sridhar
Language
English
Good to know
Suitable for community college students planning to transfer to 4-year institutions
Instructors have a solid reputation in the field
Emphasizes foundational math skills for students in Computer Science
May require students to purchase a graphing calculator
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