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.
Python Data Science: Environment Setup
Python Data Science: Environment Setup
This course is part of Using Data Science Tools in Python Specialization
Instructor: Bill Rosenthal
Access provided by INEFOP - Instituto Nacional de Empleo y Formación Profesional de Uruguay
Gain insight into a topic and learn the fundamentals.
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
In this course, you will set up a Python data science environment.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
Recently updated!
January 2026
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This course is part of the Using Data Science Tools in Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
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.
What's included
1 reading6 plugins
You'll wrap things up and then validate what you've learned in this course by taking an assessment.
What's included
1 reading1 assignment
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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