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MAIN CATEGORY(S) OF THIS COURSE
Acknowledgments of this course
This course was ranked in the Top 100 Best Courses on Coursera, based on its high ratings and large number of ratings.
ABOUT THIS COURSE
By now you have definitely heard of data science and big data. In this week-long class, we'll provide a crash course on what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible in data science without all the nonsense. We have designed this course to be as convenient
DESCRIPTION
By now you have definitely heard of data science and big data.
In this week-long class, we'll provide a crash course on what these terms mean and how they play a role in successful organizations.
This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists.
The goal is to get you up to speed as quickly as possible in data science without all the nonsense.
We have designed this course to be as convenient as possible without sacrificing any of the essentials.
This is a focused course designed to quickly bring you up to speed in the field of data science.
Our goal was to make this as convenient as possible for you without sacrificing any essential content.
We've put the technical information aside so you can focus on managing your team and moving it forward.
After completing this course you will know.
1.
How to describe the role data science plays in various contexts 2.
How statistics, machine learning and software engineering play a role in data science 3.
How to describe the structure of a data science project 4.
Know the key terms and tools used by data scientists 5.
How to identify a successful and unsuccessful data science project 3.
The Role of a Data Science Manager Course cover image by r2hox.
Creative Commons BY-SA: https://flic.kr/p/gdMuhT How to describe the structure of a data science project 4.
Know the key terms and tools used by data scientists 5.
How to identify a successful and unsuccessful data science project 3.
The Role of a Data Science Manager Course cover image by r2hox.
Creative Commons BY-SA: https://flic.kr/p/gdMuhT How to describe the structure of a data science project 4.
Know the key terms and tools used by data scientists 5.
How to identify a successful and unsuccessful data science project 3.
The Role of a Data Science Manager Course cover image by r2hox.
Creative Commons BY-SA: https://flic.kr/p/gdMuhT
CHARACTERISTICS OF THIS COURSE
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Created by:Johns Hopkins University
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Position Top 100 platform courses:
88
CONTENTS OF THIS COURSE
This one-module course is the first "week" of the Data Science Executive Specialization. This is an intensive introduction to what you need to know about data science itself. You will learn important terminology and how successful organizations use data science.
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Data science, business and personal development. You can enroll in multiple courses at once, earn unlimited certificates, and learn in-demand job skills to start, grow, and even change careers.
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Jeff Leek, Ph.D.
Instructor rating 4,54/5 (664 ratings)Info
Associate Professor, Biostatistics
my person_add 1.349.364 students
my computer28 courses
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COOKING CLASS DETAILS
- DELIVERY SCHEDULE: Study at your own pace and availability
- VIDEO HOURS: Approx. 7 hours to complete
- ACCESS TIME Access to content after completing the course
Who develops this course?
Johns Hopkins University
The mission of Johns Hopkins University is to educate its students and cultivate their capacity for lifelong learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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william erazo
August 11, 2021 at 2: 37 pmThis course is a great introduction to data science, especially for those with no prior knowledge of the subject.