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 stars75.91%
- 4 stars19.20%
- 3 stars3.26%
- 2 stars0.78%
- 1 star0.82%
TOP REVIEWS FROM WHAT IS DATA SCIENCE?
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.
Thank you for this coursera.
I get know experience and knowledge in using different kinds of online tools which are useful and effective. I'll use some of them during my lessons. And lots of thanks
I thought this course introduced the topic of data science very well. I think I have a much better idea how to describe data science and common terms associated with the field (like machine learning).
It is my first time to take an online Coursera course. I am badly grateful for your financial support. too many thanks seem not enough to express my happiness to finish this course about data science
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