Programming for Data Science with Python

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Programming for Data Science with Python provided by Udacity is a comprehensive online course, which lasts for 13 weeks long, 10 hours a week. Programming for Data Science with Python is taught by Josh Bernhard , Derek Steer, Juno Lee , Richard Kalehoff, Karl Krueger, David M A., Shuaib A., Youn K., Prashanth P., Amal A. and Michael M.. Upon completion of the course, you can receive an e-certificate from Udacity. The course is taught in Englishand is Paid Course. Visit the course page at Udacity for detailed price information.

Overview
  • In this program, you’ll learn the most valuable programming tools and languages used by data scientists today. You’ll learn how to manipulate large datasets, perform version control, and access modern databases. You’ll be programming with Python, one of the most popular programming languages used by Data Scientists today. This program is an ideal way to launch a career in data, and for experienced analysts, it’s an excellent opportunity to augment your existing skill set with in-demand programming skills.
    Learn the fundamental programming tools for data professionals: Python, SQL, the Terminal and Git.

Syllabus
    • Introduction to SQL
      • Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.
    • Introduction to Python Programming
      • Learn Python programming fundamentals such as data structures, variables, loops, and functions. Learn to work with data using libraries like NumPy and Pandas.
    • Introduction to Version Control
      • Learn how to use version control and share your work with other people in the data science industry.