Join us for a hands-on training where you will learn how to install common tools to work with Python, including the Anaconda distribution and the git version control software. You'll also learn how to create virtual environments to make collaboration easy, and how to leverage Jupyter Notebooks and the Spyder IDE for effective data science work. This session will run for three hours, allowing you time to really immerse yourself in the subject, and includes short breaks and opportunities to ask the expert questions throughout the training.
Users should have access to a web browser, and the ability to download software on their PC or laptop. All other materials will be provided during the session.
This course is open to all DataCamp Premium learners, looking to get started working with R on their own PC or laptop. (Note that part of the session involves installing software: you should have access to a PC or laptop where you have permission to do this.) We recommend that you have taken the following course before attending:
Data Science Evangelist