Python for data science freecodecamp

Python for data science freecodecamp

 

It will be no surprise to readers that Python is one of the languages most associated with the practice of data science.

While it could be reasonably argued that Python is the absolute top data science programming language, it would be difficult to argue that, along with R and SQL, Python is not one of the top 3.

Regardless of the exact rank of the language, there is no denying that Python is a useful tool for implementing data science in practice. Its ecosystem provides a rich tapestry of libraries covering the entire spectrum of data science pipelines and related data processing and analysis tasks. Knowing data science, Python, and their intersection is a fantastic way to ensure your usefulness as a data scientist.

freeCodeCamp and Maxwell Armi put are responsible for putting together and making available this 12 hour (that's right, 12 hour!) course on using Python and its ecosystem to write data science code.

This Python data science course will take you from knowing nothing about Python to coding and analyzing data with Python using tools like Pandas, NumPy, and Matplotlib.

The course is hands-on by design, takes learning step by step, and provides a strong foundation in Python language concepts as it goes. Data science concepts are covered along the way, and are focused on more exclusively in the final sections of the course. A final course project looking at COVID trend analysis is undertaken using the Python tools you've learned along the way.

The course contents are as follows:

  • Introduction to the Course and Outline
  • The Basics of Programming
  • Why Python
  • How to Install Anaconda and Python
  • How to Launch a Jupyter Notebook
  • How to Code in the iPython Shell
  • Variables and Operators in Python
  • Booleans and Comparisons in Python
  • Other Useful Python Functions
  • Control Flow in Python
  • Functions in Python
  • Modules in Python
  • Strings in Python
  • Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries
  • The NumPy Python Data Science Library
  • The Pandas Python Data Science Python Library
  • The Matplotlib Python Data Science Library
  • Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries

Check out the course video below or head on over to freeCodeCamp's YouTube channel to see it there.




 

The 12 hour offering from freeCodeCamp states in its subtitle that it is for beginners, and that it will help you learn Python, Pandas, NumPy, and Matplotlib. As far as I can tell, it seems to hold its promise. If you are looking to learn Python and data science, checking it out in depth would be worth your time.

  Matthew Mayo (@mattmayo13) is a Data Scientist and the Editor-in-Chief of KDnuggets, the seminal online Data Science and Machine Learning resource. His interests lie in natural language processing, algorithm design and optimization, unsupervised learning, neural networks, and automated approaches to machine learning. Matthew holds a Master's degree in computer science and a graduate diploma in data mining. He can be reached at editor1 at kdnuggets[dot]com.

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Does freeCodeCamp teach data science?

We've released a hands-on course on the freeCodeCamp.org YouTube channel that will teach you the basics of data science. The course will teach you about the theory and code behind the most common algorithms used in data science. This course was developed by Marco Peixeiro.

Is freeCodeCamp Good for Python?

Python is a general purpose programming language which is dynamically typed, interpreted, and known for its easy readability with great design principles. freeCodeCamp has one of the most popular courses on Python. It's completely free (and doesn't even have any advertisements).

Where can I learn Python data science for free?

freeCodeCamp. An online learning platform, freeCodeCamp is another best place to learn Data Science for free. They offer free lessons on statistics for Data Science, computer science concepts, Python fundamentals, Pandas, Python Matplotlib, and even a guide to build a good Data Science portfolio.

Is Python for data science easy?

Python and R are both free, open-source languages that can run on Windows, macOS, and Linux. Both can handle just about any data analysis task, and both are considered relatively easy languages to learn, especially for beginners.