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Updated in [March 06th, 2023]

All analytics work begins and ends with a story. Storytellingwith data is the analytics professional's missing link in delivering the essence of date signals and insights to executives, management, and other stakeholders.

In this analytics storytelling course, you'll learn effective strategies and tools to master data communication in the most impactful way possible--through well-crafted analytics stories.

You'll explore what a story is and,perhaps more importantly, what a story is not. Find out how stories create value and why they matter. Learn to craft stories, command the room, finish strong, and assess your impact. Get practical help applying these ideas to your data analytics work. Plus, you'lllearn guidelines and best practices for creating high-impact reports and presentations.

edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

Note:
These courses will retire in June. Please enroll only if you are able to finish your coursework in time.

(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)

Learners can learn a variety of skills from this course, including how to craft effective analytics stories, command the room, finish strong, and assess their impact. They will also learn best practices for creating high-impact reports and presentations. Additionally, learners will gain an understanding of what a story is and why it matters, as well as how stories create value. Finally, learners will be able to apply these ideas to their data analytics work.

[Applications]
Upon completion of this course, learners will be able to apply the strategies and tools learned to master data communication in the most impactful way possible. They will be able to craft stories, command the room, finish strong, and assess their impact. Learners will also be able to create high-impact reports and presentations, as well as apply for financial assistance if needed.

[Career Paths]
1. Data Analyst: Data Analysts are responsible for collecting, organizing, and analyzing data to identify trends and patterns. They use their findings to inform decisions and strategies for businesses and organizations. As data becomes increasingly important in the business world, the demand for Data Analysts is expected to grow.

2. Business Intelligence Analyst: Business Intelligence Analysts are responsible for creating and maintaining data-driven solutions to help businesses make better decisions. They use data to identify opportunities for improvement and develop strategies to increase efficiency and profitability. As businesses become more data-driven, the demand for Business Intelligence Analysts is expected to grow.

3. Data Scientist: Data Scientists are responsible for extracting insights from large datasets. They use their knowledge of statistics, machine learning, and data visualization to uncover patterns and trends in data. As businesses become more reliant on data, the demand for Data Scientists is expected to grow.

4. Data Visualization Specialist: Data Visualization Specialists are responsible for creating visual representations of data. They use their knowledge of data visualization tools and techniques to create charts, graphs, and other visuals that help businesses make sense of their data. As businesses become more reliant on data, the demand for Data Visualization Specialists is expected to grow.

[Education Paths]
1. Bachelor's Degree in Data Science: A Bachelor's Degree in Data Science is a great way to gain the skills and knowledge needed to become a successful data analyst. This degree program typically covers topics such as data mining, machine learning, data visualization, and programming. It also provides students with the opportunity to develop their analytical and problem-solving skills. With the increasing demand for data analysts, this degree path is becoming increasingly popular and is expected to continue to grow in the coming years.

2. Master's Degree in Business Analytics: A Master's Degree in Business Analytics is a great way to gain the skills and knowledge needed to become a successful data analyst. This degree program typically covers topics such as data mining, machine learning, data visualization, and programming. It also provides students with the opportunity to develop their analytical and problem-solving skills. With the increasing demand for data analysts, this degree path is becoming increasingly popular and is expected to continue to grow in the coming years.

3. Master's Degree in Data Science: A Master's Degree in Data Science is a great way to gain the skills and knowledge needed to become a successful data analyst. This degree program typically covers topics such as data mining, machine learning, data visualization, and programming. It also provides students with the opportunity to develop their analytical and problem-solving skills. With the increasing demand for data analysts, this degree path is becoming increasingly popular and is expected to continue to grow in the coming years.

4. Doctoral Degree in Data Science: A Doctoral Degree in Data Science is a great way to gain the skills and knowledge needed to become a successful data analyst. This degree program typically covers topics such as data mining, machine learning, data visualization, and programming. It also provides students with the opportunity to develop their analytical and problem-solving skills. With the increasing demand for data analysts, this degree path is becoming increasingly popular and is expected to continue to grow in the coming years.