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Python for Data Science

Learning programming languages is the first step for a new data scientist. Out of all the languages accessible, Python for data science is the most popular and easiest to learn.<br><br>Start your data science career right now with Skill Up Online, the Best Online Data Science Learning Platform that now includes Python for Data Science.<br><br>To learn more about SkillUp Online, visit their website.<br><br>Please go to: https://skillup.online/courses/python-for-data-science/

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Python for Data Science

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  1. Why Python? Versatile & Flexible Beginner Friendly Why Python? Most popular in Machine Learning world Most Mature Package Libraries Around

  2. Why Python Is Used For Data Science? Powerful & Easy To Use Choice Of Libraries Faster Scalability Visualization & Graphics Flexible Nature Easy To Learn Open-Source Well-Supported Python Community Popularity UX & GUI Less Coding Compatibility With Hadoop Powerful Packages Suitable For Machine Learning

  3. Top 10 Python Libraries for Data Science TensorFlow SciPy NumPy Pandas Matplotlib Keras Scikit-learn PyTorch Scrapy BeautifulSoup

  4. What are the skills you will gain from Python for Data Science • Understand the application of Python. • Be able to define variables. • Understand sets and conditional statements in Python. • Appreciate the purpose of having functions in Python. • Know how to operate on files to read and write data in Python. • Know how to use pandas.

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