Python Data Science: Environment Setup

Python Data Science: Environment Setup

Instructor: Bill Rosenthal

Access provided by Universidad del Valle

2 modules

Gain insight into a topic and learn the fundamentals.

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Evaluate and choose the right hardware, cloud, and library requirements for your projects.
Deploy a complete local workspace by installing the Anaconda distribution and navigating the system using command-line Conda tools.
Build, manage, and run your first data projects within the interactive Jupyter Notebook dashboard by configuring kernels, document cells, and menus.
Learn by doing. Perform guided, step-by-step hands-on activities on your own computer.

Details to know

Assessments

1 assignment

Taught in English

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Learn more about Coursera for Business

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There are 2 modules in this course

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.

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.