Intro to Python for Data Science (DataCamp)

DataCamp's Intro to Python for Data Science course is exactly what the name implies: it teaches you Python specifically for data science. So, if you want to learn Python with the ultimate goal of entering data science, or if you just want to see what data science is all about, this could be a great course for you. Learn the fundamentals of data analysis in Python. Learn scientific computing with NumPy to broaden your skill set.

Python is a general-purpose programming language that is gaining popularity in data science. Companies all over the world are using Python to extract insights from their data and gain a competitive advantage. This course, unlike other Python tutorials, focuses on Python specifically for data science. In the Introduction to Python course, you'll learn about powerful data storage and manipulation techniques, as well as useful data science tools for getting started with your own analyses. Begin learning Python online with DataCamp right now.

What You’ll Learn

• Starting off with the basics of Python, you’ll learn about variables and the different data types. As precision of numbers is important in scientific calculation, you will be taught when Python implicitly converts types and how to explicitly do so.
• Moving on, you’ll learn about lists and how to use them to store data. You’ll discover how to create lists and manipulate them by subsetting, extending, replacing or deleting their elements.
• You’ll create functions and supply arguments to them. Additionally, you’ll be taught about the different methods that data types like strings and lists may have and how to use them.
• At the end of the course, you’ll import your first Python package, NumPy. NumPy is a popular Python package used by data scientists and analysts. You’ll learn the difference between NumPy arrays and regular Python lists, and you’ll see how easy it is to compute and analyze data with NumPy.

How You’ll Learn

• The course consists of 4 chapters, each about an hour long. After each lecture, you’ll have the chance to apply what you’ve learned in the exercises.
• You’ll code using Datacamp’s in-browser programming environment, making it easy to get started with minimal setup.
  

Fun Facts

• This is one of the few courses on DataCamp that is completely free.
• The course is just four hours long: unlike some of the longer courses in this ranking, this one is very much focused on Python basics, and it’s a refresher course too.
• If after taking this course, you want to further explore data science, check out a list of the 10 Best Machine Learning Courses to Take in 2022.

Rating: 4.4/5.0

Enroll here: classcentral.com/course/datacamp-intro-to-python-for-data-science-7631