Written and Oral Communication in Data Science (The Course)
This Course is part of the following Tracks:
Course Info
This course includes 1 attempt.
Description
Data science is one of the most exciting and fastest growing careers in the world. The goal of this series is to help people with no background and limited resources transition into data science. It would be helpful to have already taken the previous courses Organizing Data Projects, Introduction to R, Version Control, Data Tidying, Getting Data and Data Analysis. We guide you through the rest!
Learning objectives
After taking this course you will be able to:
- Create and write a data science report
- Organize, manage, or attend a data science meeting
- Create and deliver technical and non-technical data science presentations
Things you need to do this course
This course is designed for people with no background with Chromebooks and no background in data science. So it is a great introduction for high-school students or people looking for a career change into the tech industry. The only requirements are:
- A computer with a web browser and an internet connection.
- The ability to type and follow instructions.
- The accounts you have set up in the previous courses.
How you will be graded
The course has a series of short quizzes, one for each chapter. You will get two attempts at each quiz and your best score for each quiz will count toward your final score. If you receive more than 70% of the points across all quizzes you will pass. If you receive more than 90% of the points across all quizzes you will pass with honors. You get two attempts at the class with each class purchase.
How to report an error
If you find a bug, typo, or issue in the material, feel free to contact us using this form.
Course Material
- 1 Types of Communication
- Types of Communication quiz1 attempt allowed
- 2 Data Science Reports
- Data Science Reports quiz1 attempt allowed
- 3 How To Give a Presentation
- How To Give a Presentation quiz1 attempt allowed
- 4 How To Present to a General Audience
- How To Present to a General Audience quiz1 attempt allowed
- 5 How To Present to a Technical Audience
- How To Present to a Technical Audience quiz1 attempt allowed
- 6 How To Write a Blog Post
- How To Write a Blog Post quiz1 attempt allowed
- 7 Participating in Meetings
- Participating in Meetings quiz1 attempt allowed
- 8 How To Have a One-on-One Meeting
- How To Have a One-on-One Meeting quiz1 attempt allowed
- 9 How To Keep a Data Science Lab Notebook
- How To Keep a Data Science Lab Notebook quiz1 attempt allowed
- 10 Which Graph to Use When
- Which Graph to Use When quiz1 attempt allowed
- 11 References
- About this Course
- About the Authors
Instructors
Jeff is a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he has helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and Mortimer Spiegelman Award recipient.
Shannon Ellis is an Associate Teaching Professor in the Cognitive Science Department at UC San Diego.
Community
This course has a private forum for learners who are taking this course.
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