This course will be useful to any programmer or data analyst who wants to expand their ability to extract knowledge from business data. You will learn how to set up a Python data science environment, particularly using Anaconda and Jupyter.
This is the first course in a multi-course Specialization.
All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python and data science libraries. The course setup instructions provided in the first module of this course go into more detail about the hardware and software requirements.
Overview
Syllabus
- Setting Up a Python Data Science Environment
- To get started with applying data science tasks to the business, you'll want to set up an environment that includes the necessary tools. Even though you can install each Python® library directly, you'll find it much easier to manage them in an overall data science platform.
- Completing the Course
- You'll wrap things up and then validate what you've learned in this course by taking an assessment.
Taught by
Bill Rosenthal