We may earn an affiliate commission when you visit our partners.
Ben Howard
This course provides an insight into data analysis and how it is used to
create a narrative for storytelling in an organization, and then how the
data can be used as a basis for decision making.
Read more
This course provides an insight into data analysis and how it is used to create a narrative for storytelling in an organization, and then how the data can be used as a basis for decision making.
Read more
This course provides an insight into data analysis and how it is used to create a narrative for storytelling in an organization, and then how the data can be used as a basis for decision making.
In this course, Data Analysis for Storytelling, you’ll gain the ability to create a data-driven narrative in your organization to create a compelling story from your data. First, you’ll explore data analysis techniques to identify insights into your data. Next, you’ll discover how to create a data-driven narrative and use this to drive decision-making. Finally, you’ll learn how to communicate the insights derived from your data. When you’re finished with this course, you’ll have the skills and knowledge of data analysis for storytelling needed to drive a data-driven culture and determine business decisions from your data.
Register for this course and see more details by visiting:
OpenCourser.com/course/t9k4hy/data
Here's a deal for you
We found an offer that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
What's inside
Syllabus
Course Overview
Data Analysis Techniques
Identifying Insights in Data
Developing a Data-driven Narrative
Read more
Syllabus
Course Overview
Data Analysis Techniques
Identifying Insights in Data
Developing a Data-driven Narrative
Read more
Communicating Insights from Data
Real-world Case Study: Analyzing Customer Data to Identify Opportunities for Business Growth
Summary
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills in data analysis, a useful skill to have
Covers how to use data to make decisions
Save this course
Save Data Analysis for Storytelling 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 Data Analysis for Storytelling with these
activities:
Attend relevant conferences
Show steps
Network with professionals in the field
Show steps
-
Research and identify relevant conferences
-
Attend sessions and workshops
Connect with industry professionals
Show steps
Seek guidance from experienced professionals
Show steps
-
Identify potential mentors in the industry
-
Reach out and introduce yourself
-
Attend industry meetups or events
Review statistics
Show steps
Reinforce knowledge in statistics to improve understanding of course materials.
Browse courses on
Statistics
Show steps
-
Review definitions of key statistical terms
-
Practice solving basic statistical problems
Five other activities
Expand to see all activities and additional details
Show all eight activities
Quizzes
Show steps
Complete quizzes throughout the course to check understanding of concepts
Show steps
-
Take practice quizzes
-
Review quiz results to identify areas of improvement
Peer Review
Show steps
Exchange feedback with peers on projects or assignments
Show steps
-
Collaborate with peers to review each other's work
-
Provide constructive feedback and suggestions for improvement
Infographics
Show steps
Create an infographic summarizing key course concepts
Show steps
-
Identify key course concepts
-
Design and create the infographic using a tool or software
-
Present or share the infographic
Case Studies
Show steps
Analyze a case study to apply course concepts to real-world scenarios
Show steps
-
Read and analyze a provided case study
-
Identify how course concepts relate to the case study
-
Write a summary or report on your analysis
Lead study sessions
Show steps
Facilitate sessions to help others understand course concepts
Show steps
-
Prepare materials and organize a study session
-
Lead the session and facilitate discussions
Attend relevant conferences
Show steps
Network with professionals in the field
Show steps
Show steps
Show steps
- Research and identify relevant conferences
- Attend sessions and workshops
Connect with industry professionals
Show steps
Seek guidance from experienced professionals
Show steps
Show steps
Show steps
- Identify potential mentors in the industry
- Reach out and introduce yourself
- Attend industry meetups or events
Review statistics
Show steps
Reinforce knowledge in statistics to improve understanding of course materials.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review definitions of key statistical terms
- Practice solving basic statistical problems
Five other activities
Expand to see all activities and additional details
Show all eight activities
Quizzes
Show steps
Complete quizzes throughout the course to check understanding of concepts
Show steps
Show steps
Show steps
- Take practice quizzes
- Review quiz results to identify areas of improvement
Peer Review
Show steps
Exchange feedback with peers on projects or assignments
Show steps
Show steps
Show steps
- Collaborate with peers to review each other's work
- Provide constructive feedback and suggestions for improvement
Infographics
Show steps
Create an infographic summarizing key course concepts
Show steps
Show steps
Show steps
- Identify key course concepts
- Design and create the infographic using a tool or software
- Present or share the infographic
Case Studies
Show steps
Analyze a case study to apply course concepts to real-world scenarios
Show steps
Show steps
Show steps
- Read and analyze a provided case study
- Identify how course concepts relate to the case study
- Write a summary or report on your analysis
Lead study sessions
Show steps
Facilitate sessions to help others understand course concepts
Show steps
Show steps
Show steps
- Prepare materials and organize a study session
- Lead the session and facilitate discussions
Career center
Learners who complete Data Analysis for Storytelling will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts help discover insights and predict future outcomes by analyzing data. Analysts must have a strong foundation in statistical techniques, which this course teaches. In this course, you will not only learn to identify trends and patterns in data but also develop valuable communication skills. Data Analysts need to be able to present their findings in a clear and concise manner. This course will teach you how to create engaging data visualizations and communicate your insights to various audiences, a critical skill for any Data Analyst.
Data Scientist
Data Scientist
Data Scientists are responsible for developing and implementing data-driven solutions. They use their knowledge of machine learning and artificial intelligence to build models that can predict future outcomes and identify trends. This course will teach you the essential data analysis techniques that Data Scientists use. You will learn how to interpret data, build models, and make predictions. This course will also introduce you to the ethical implications of data science, a topic that is increasingly important in the field.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to make better decisions. They analyze data to identify trends and patterns, which can help organizations improve their performance. This course will teach you the skills you need to become a successful Business Intelligence Analyst. You will learn how to collect, clean, and analyze data. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior. They conduct surveys, focus groups, and other research methods to gather data about consumer needs and wants. This course will teach you the data analysis techniques that Market Researchers use. You will learn how to design and conduct research studies, analyze data, and write research reports.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. This course may be useful to Product Managers who want to learn more about data analysis. Data analysis can help Product Managers make better decisions about product development and marketing. For example, data analysis can be used to identify customer needs, track product usage, and measure the effectiveness of marketing campaigns.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They work with stakeholders to define project goals and objectives, develop project plans, and track project progress. This course may be useful to Project Managers who want to learn more about data analysis. Data analysis can help Project Managers make better decisions about project planning and execution. For example, data analysis can be used to identify project risks, track project progress, and measure project outcomes.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. They use their knowledge of financial markets to identify undervalued stocks and bonds. This course may be useful to Financial Analysts who want to learn more about data analysis. Data analysis can help Financial Analysts make better decisions about investment recommendations. For example, data analysis can be used to identify financial trends, analyze company performance, and forecast future stock prices.
Consultant
Consultant
Consultants provide advice to organizations on a variety of topics, including strategy, operations, and technology. This course may be useful to Consultants who want to learn more about data analysis. Data analysis can help Consultants make better decisions about their clients' businesses. For example, data analysis can be used to identify business problems, develop solutions, and track progress.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. They work with marketing teams to develop marketing strategies, create marketing materials, and track marketing results. This course may be useful to Marketing Managers who want to learn more about data analysis. Data analysis can help Marketing Managers make better decisions about their marketing campaigns.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of an organization. They work with employees to ensure that tasks are completed efficiently and effectively. This course may be useful to Operations Managers who want to learn more about data analysis. Data analysis can help Operations Managers make better decisions about their operations.
Sales Manager
Sales Manager
Sales Managers oversee the sales team of an organization. They work with salespeople to develop sales strategies, motivate the sales team, and track sales results. This course may be useful to Sales Managers who want to learn more about data analysis. Data analysis can help Sales Managers make better decisions about their sales strategies.
Human Resources Manager
Human Resources Manager
Human Resources Managers oversee the human resources department of an organization. They work with employees to ensure that they are treated fairly and that the organization is compliant with labor laws. This course may be useful to Human Resources Managers who want to learn more about data analysis. Data analysis can help Human Resources Managers make better decisions about their human resources practices.
Information Technology Manager
Information Technology Manager
Information Technology Managers oversee the information technology department of an organization. They work with employees to ensure that the organization's technology needs are met. This course may be useful to Information Technology Managers who want to learn more about data analysis. Data analysis can help Information Technology Managers make better decisions about their technology investments.
Quality Manager
Quality Manager
Quality Managers oversee the quality of an organization's products or services. They work with employees to ensure that products or services meet quality standards. This course may be useful to Quality Managers who want to learn more about data analysis. Data analysis can help Quality Managers make better decisions about their quality control processes.
Administrative Assistant
Administrative Assistant
Administrative Assistants provide administrative support to executives and other employees. They perform a variety of tasks, such as scheduling appointments, managing email, and preparing presentations. This course may be useful to Administrative Assistants who want to learn more about data analysis. Data analysis can help Administrative Assistants make better decisions about their work. For example, data analysis can be used to track employee productivity, identify bottlenecks in workflow, and forecast future workload.
For more career information including salaries, visit:
OpenCourser.com/course/t9k4hy/data
Reading list
We've selected 14 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 Analysis for Storytelling.
Focuses on the practical aspects of data visualization and storytelling, providing valuable insights into how to effectively communicate insights from data analysis.
Introduces the fundamentals of data storytelling, providing practical techniques and examples to help you create compelling data-driven narratives.
Provides a comprehensive overview of data storytelling, covering the principles, techniques, and tools you need to create effective data-driven narratives.
Delves into the visual aspects of data storytelling, offering practical techniques and best practices for creating compelling and informative data visualizations.
Save
Provides a clear and accessible introduction to statistics, covering the essential concepts and techniques you need to understand data analysis.
Save
Provides a practical introduction to the R programming language, focusing on its use in data analysis and data science.
Save
Provides a comprehensive overview of data visualization, covering the principles, techniques, and tools you need to create effective data visualizations.
Save
Provides a comprehensive overview of data mining, covering the principles, techniques, and applications of data mining in various fields.
Introduces the principles and techniques of natural language processing, focusing on the use of Python for NLP tasks.
Provides a comprehensive overview of statistics, covering the principles, techniques, and applications of statistical analysis in business and economics.
Offers a comprehensive introduction to machine learning, providing a solid foundation in the principles and techniques of machine learning.
Save
Provides a beginner-friendly introduction to deep learning, covering the principles, techniques, and applications of deep learning in various fields.
Save
Explores the principles of effective communication, providing insights into how to make ideas memorable and impactful, which can be valuable for data storytellers.
Provides a comprehensive guide to academic writing, offering valuable insights into research, writing, and argumentation, which can be helpful for those looking to develop their data storytelling skills in a more formal setting.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/t9k4hy/data
Share
Similar courses
Here are nine courses similar to
Data Analysis for Storytelling.
Creating Data Stories with Qlik Sense
OpenCourser.com/course/bhcshu/creating
Creating Data Stories with Qlik Sense
Most relevant
Communicating with Data
OpenCourser.com/course/t0xuw9/communicating
Communicating with Data
Most relevant
Unlocking Business Insights through Storytelling with Data
OpenCourser.com/course/ploduj/unlocking
Unlocking Business Insights through Storytelling with Data
Most relevant
Data Storytelling
OpenCourser.com/course/synpea/data
Data Storytelling
Most relevant
Fundamentals of Data Storytelling
OpenCourser.com/course/i7v9rp/fundamentals
Fundamentals of Data Storytelling
Most relevant
Storytelling and Persuading with Data and Digital Technology
OpenCourser.com/course/49trhn/storytelling
Storytelling and Persuading with Data and Digital...
Most relevant
Storytelling and Persuading using Data and Digital Technologies
OpenCourser.com/course/uk6o66/storytelling
Storytelling and Persuading using Data and Digital...
Most relevant
Worldbuilding for Video Games
OpenCourser.com/course/259001/worldbuilding
Worldbuilding for Video Games
Generative AI for Data Visualization and Data Storytelling
OpenCourser.com/course/8whcsa/generative
Generative AI for Data Visualization and Data Storytelling
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