Do you want to know why Data Science has been labelled as the sexiest profession of the 21st century? After taking this course you will be able to answer this question, and get a thorough understanding of what is Data Science, what data scientists do, and learn about career paths in the field.

About this Course
This self-paced course is suitable for everyone! No prior experience or degree required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Define data science and its importance in today’s data-driven world.
Describe the various paths that can lead to a career in data science.
Summarize advice given by seasoned data science professionals to data scientists who are just starting out.
Explain why data science is considered the most in-demand job in the 21st century.
Skills you will gain
- Data Science
- Deep Learning
- Machine Learning
- Big Data
- Data Mining
This self-paced course is suitable for everyone! No prior experience or degree required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Start working towards your Bachelor's degree
Syllabus - What you will learn from this course
Defining Data Science and What Data Scientists Do
Data Science Topics
Data Science in Business
Reviews
- 5 stars75.92%
- 4 stars19.18%
- 3 stars3.27%
- 2 stars0.79%
- 1 star0.82%
TOP REVIEWS FROM WHAT IS DATA SCIENCE?
Very good introduction into data science. Some of the videos are very monotone, and it's easy to lose track of where the conversation is going. If you pay attention, you can get some good information.
The course is a perfect introduction to data science, making a person comfortable and showing the participants of the course a daily work of data scientist and to simplify the meaning of data science.
Out of the plethora information, sometines confusion, this course provided me with great appreciation of data science, skill set that needs to be built to become a data scientist and stay competitive.
The unique way the definitions of Data Science and Scientist were explained was exemplary. Hearing from experts and people who are practicing Data science is what made the course interesting thus far.
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