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Why Should I Learn Data Science?
What You Need to do
- Data Analyst (Beginner)
- Data Scientist (Beginner)
- & Data Engineer (Intermediate)
As we already mentioned, data science is not a baby field. So there are different areas and pathways. But you should start from the easier one, such as Data Analyst course.
- Data Analyst
- Data Scientist
- Business Analytics
- and Predictive Analytics for businesses.
More than 150 courses and tutorials by the world’s top professionals and experts. Udemy is a great place where you can learn Data Science in 11 different languages. Udemy also holds the big record of having 700000+ students enrolled in Data Science Courses.
It has been a pioneer in the online learning world. Lynda is an e-learning platform by LinkedIn. It offers 200+ courses in Big Data, Data Science and Data analytics.
It is a premium yet very fruitful learning resource for data science enthusiasts. Courses offered by Pluralsight are accredited and accepted by top professionals in the industry.
A platform for data science learning, community, news and blogs, webinars and jobs also. KDNuggets is a highly recommended and must visit the site for the data science students.
Coursera is a well-known resource for online learning in almost all domains. Yet is a great place to learn data science too. The best thing about Coursera is. It offers Certifications, Diplomas and Even Master Degrees from top universities and colleges. Such as Arizona State University, University of Illinois, University of London & Imperial College of London. Isn’t that exciting?
What to do now?
Author: Yumna Hafeez
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