Python for Data Science with Assignments

Python for Data Science with Assignments

What you’ll learn

  • Understand and define the most important terms in the programming world
  • Understand how to use most of Python operators
  • Being able to install Python and PyCharm IDE and run your first program
  • Understand and know how to use all of the important data structures in Python like list, dictionaries and others
  • Understand the basics of Python syntax
  • Understand the program execution flow and how we can control this flow using conditional statements and loops statements

Who this course is for:

  • Anyone interested in learning Python programming language for the first time
  • College students who want to better understand Python and use it in their projects and assignments
  • Anyone wants to pursue a career in artificial intelligence, machine learning, data science and back-end web development
  • Any programmer wants to shift from other programming languages to Python programming language
  • Python developers who want to hone their skills in Python

How to Enroll Python for Data Science with Assignments course?

  • To Access "Python for Data Science with Assignments" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
  • If you're New to Udemy? Sign up with your email and create a password. for Existing users, log in with your credentials to access course.
  • How many members can access this course with a coupon?

    Python for Data Science with Assignments Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

    External links may contain affiliate links, meaning we get a commission if you decide to make a purchase
    Deal Score0

    Learn Data Science. Courses starting at $12.99

    New customer offer! Top courses from $14.99 when you first visit Udemy

    Compare items
    • Total (0)
    Compare
    0