New Course! The Python Programmer Bootcamp with Giles McMullen-Klein

Join over 2 million students who advanced their careers with 365 Data Science. Learn from instructors who have worked at Meta, Spotify, Google, IKEA, Netflix, and Coca-Cola and master Python, SQL, Excel, machine learning, data analysis, AI fundamentals, and more.

Start for Free
The 365 Team 20 Oct 2021 1 min read

python programmer bootcamp, python programmer course, pyhton programming course, python programming bootcamp, Giles McMullen-Klein

We’ve been keeping this news under wraps for some time, but finally, the moment has come to announce our latest collaboration with another world-class instructor.

We’re thrilled to announce the release of The Python Programmer Bootcamp with Giles McMullen-Klein.

Giles is an Oxford-trained medical physicist and data scientist turned Python instructor. His dynamic interactive teaching style has inspired legions of fans. And his educational programming and data science videos on YouTube have amassed over 6 million views.

This new course covers precisely what a beginner to python programming needs to learn. Including coding fundamentals and problem solving in Python, object-oriented programming and working with IDEs   all supported with practical hands-on exercises.

This additional 10 hours of instruction and 32 exercises will provide 365 Data Science students with a solid understanding of Python programming, which is valuable in building solutions for complex scenarios and for deep and machine learning.

The Python Programmer Bootcamp is part of the 365 Data Science Online Program, so existing subscribers can access the courses at no additional charge. To learn more about the course curriculum or subscribe to the Data Science Online Program, please visit our Courses page.

Happy Learning!

The 365 Team

The 365 Data Science team creates expert publications and learning resources on a wide range of topics, helping aspiring professionals improve their domain knowledge, acquire new skills, and make the first successful steps in their data science and analytics careers.

Top