Google and the Cloud (The Course)
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. The only pre-requisites are a computer with a web browser and the ability to type and follow instructions. We guide you through the rest!
Learning objectives
After taking this course you will be able to:
- Use Google's web services
- Use popular services like Google Docs, Google Calendar, and Google Slides
- Communicate with Google Hangouts and Slack.
Things you need to do this course
This course is designed for people with no background in data science or cloud computing and so 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 internet connection
- The ability to type and follow instructions.
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 What is the cloud?
- What is the Cloud quiz1 attempt allowed
- 2 Using Gmail for Email Communications
- Gmail quiz1 attempt allowed
- 3 Google Calendar
- Google Calendar quiz1 attempt allowed
- 4 Google Drive
- Google Drive quiz1 attempt allowed
- 5 Google Docs
- Google Docs quiz1 attempt allowed
- 6 Google Sheets
- Google Sheets quiz1 attempt allowed
- 7 Google Slides
- Google Slides quiz1 attempt allowed
- 8 Google Hangouts
- Google Hangouts quiz1 attempt allowed
- 9 YouTube
- YouTube quiz1 attempt allowed
- 10 Basecamp
- Slack quiz1 attempt allowed
- 11 References
- About this Course
- About the Authors
Instructors
Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was 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 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 a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.
Shannon Ellis is an Associate Teaching Professor in the Cognitive Science Department at UC San Diego.
Aboozar Hadavand is a postdoctoral fellow at Johns Hopkins Bloomberg School of Public Health. His current research involves analyzing MOOC data. He has previously taught at Barnard College (Columbia University), Brooklyn College, and Yeshiva University.
Community
This course has a private forum for learners who are taking this course.
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