Data Science Tutorial For Beginners | Introduction to Data Science | Data Science Training | Edureka
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This Edureka Data Science Tutorial (Data Science Blog Series: https://goo.gl/1CKTyN) will help you to learn Data Science concepts from scratch with examples. It starts with Why Data Science is needed, goes on to explain how a problem is solved in Data Science, and towards the end an awesome demonstration which involves Hadoop and R Integration! Below are the topics covered in this Data Science for Beginners tutorial:
1) Why Data Science?
2) What is Data Science?
3) Who is a Data Scientist?
4) How a problem is solved in Data Science?
5) Data Science Components
6) Demo
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Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech.
About Course:
Why Learn Python for Data Science?
Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.