Python for Data Science
Discover the perks of Python for Data Science in our free course. Learn about the architecture and components of Data Science and Python packages- NumPy and Pandas. Build your career in Data Science with this beginner's course.
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About this Course
Python is a popular programming language beneficial for Data Science, and this free course intends to deliver the advantages of utilizing Python for Data Science. First, you will understand Data Science, its architecture, and its components. You will also get information regarding careers in Data Science. Further, you will know why to consider Python and the skills needed to learn Python. Lastly, you will learn about popular Python Packages NumPy and Pandas and go through a hands-on session. Complete the quiz suggested at the end of this course and earned a free certificate.
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Course Outline
This section explains the need for data science to work with exponentially growing data every second. It points out how humans landed on the moon with understanding data and how a system can send millions of emails every day based on previous customer records.
To understand the process of Data Science, you must first understand its backend. Thus, this module focuses on its architecture. You will go through the five significant steps in the Data Science lifecycle.
For architecture to work, specific components play a significant role. This module will go through four essential components of Data Science in detail.
Among the other career fields, Data Science still stands high as a strong domain. This module starts by discussing Data scientists and the skills needed. Further, it discusses post-COVID Data Science careers. Lastly, you will go through popular Data Science designations.
This module first introduces you to Python. Next, you will go through the significant factors that effectively push students to learn Python.
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