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By the end of this course you will have built a draft of a data story.
You will also have:
This course is open to anyone who is curious about how to tell better data stories. We welcome students living across the globe, with a variety of perspectives, beliefs, opinions, and backgrounds.
While this course is at a beginner level, we do expect students to have a basic working knowledge of either Excel, Tableau, R, or a similar tool for working with data. We will be teaching you the best ways to work with data effectively within these tools, but we will not be teaching you how to use the tools themselves.
No previous experience with data analysis or statistics is required.
Having one of the following applications is recommended:
Any other software tools that work with data are fine as well, including Google Sheets, Open Office, Python, and SPSS.
First of all, note that this is an asynchronous course. That means there are no live events scheduled at specific times. You can log in to the course and complete activities throughout the week at your own pace, at the times and on the days that are most convenient for you.
Despite its asynchronous nature, there are still structures in place for the duration of the course. The material is organized into six weekly modules. Each module will be taught by Heather Krause and will cover a different topic through videos, presentations, readings and discussion forums. There will be a quiz each week to test the knowledge you've gained through the course materials. The weekly quizzes, and weekly participation in the discussion forums, are the basic requirements for earning a certificate of participation at the end of the course.
This course is very flexible, and if you are behind with the materials, you have the entire length of the course to complete them. We do recommend you complete each of the following before the end of each week so you don’t fall behind:
Heather Krause is a data scientist with years of working on complex research problems in the social, non-profit, and data journalism sectors. She is passionate about helping people understand and use the best practices and tools to transform data into rich stories. Heather has worked on many complex stories that mix math, science and creativity into comprehensive narratives and data journalism pieces. As the founder and president of Datassist she has worked with FiveThirtyEight, Orb Media, the Bill and Melinda Gates Foundation, Syrian Refugee Resettlement Secretariat, and many more international non-profit organizations.
A certificate of completion will be available for those who meet all of the course requirements. You will have until to complete the class criteria. After October 29, the Knight Center will review your record. After confirmation, of course requirements, the Knight Center will send a message with confirmation that you fulfilled the course requirements and you qualify for the certificate. In this message, we will also send you instructions to download a PDF copy of your certificate through the course platform. You will be able to then download your certificate before the course closes down. No formal course credit of any kind is associated with the certificate. The certificate is awarded by the Knight Center for Journalism in the Americas to attest to the participation in the online course.
For those that meet all of the course requirements, a certificate of completion will be available to download, in PDF format. No formal course credit of any kind is associated with the certificate. The certificate is awarded by the Knight Center for Journalism in the Americas to attest to the participation in the online course.
For those that want to receive a certificate of completion for the course, you must meet the following requirements:
1) Complete weekly quizzes with a 70% score minimum by the weekly deadline.
2) Watch weekly video lectures and review weekly readings.
3) Participate in at least 1 discussion forum each week by given deadline.
If all requirements are met, an electronic certificate in PDF format will be emailed to the student.