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Data Analysis for Storytelling

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.

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What's inside

Syllabus

Course Overview

Data Analysis Techniques

Identifying Insights in Data

Developing a Data-driven Narrative

Communicating Insights from Data

Real-world Case Study: Analyzing Customer Data to Identify Opportunities for Business Growth

Summary

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

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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 Analysis for Storytelling with these activities:

Attend relevant conferences

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Network with professionals in the field

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Research and identify relevant conferences
Attend sessions and workshops

Connect with industry professionals

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Seek guidance from experienced professionals

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Identify potential mentors in the industry
Reach out and introduce yourself
Attend industry meetups or events

Review statistics

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Reinforce knowledge in statistics to improve understanding of course materials.

Browse courses on Statistics

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Review definitions of key statistical terms
Practice solving basic statistical problems

Five other activities

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Quizzes

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Complete quizzes throughout the course to check understanding of concepts

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Take practice quizzes
Review quiz results to identify areas of improvement

Peer Review

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Exchange feedback with peers on projects or assignments

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Collaborate with peers to review each other's work
Provide constructive feedback and suggestions for improvement

Infographics

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Create an infographic summarizing key course concepts

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Identify key course concepts
Design and create the infographic using a tool or software
Present or share the infographic

Case Studies

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Analyze a case study to apply course concepts to real-world scenarios

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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

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Facilitate sessions to help others understand course concepts

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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 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

Storytelling with You

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Focuses on the practical aspects of data visualization and storytelling, providing valuable insights into how to effectively communicate insights from data analysis.

Data Analysis for Storytelling

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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