Python Basics for Data Science

Online Course

edX
Python Basics for Data Science

What is the course about?

Python Basics for Data Science
The course Python Basics for Data Science is an online class provided by IBM through edX. The skill level of the course is Introductory. It may be possible to receive a verified certification or use the course to prepare for a degree.

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you’ll be ready to create your first Python scripts on your own!

Course description

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.Upon its completion, you’ll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you get free access to Watson Studio. Start now and take advantage of this platform.

Prerequisites & Facts

Python Basics for Data Science

Course Topic

Lifestyle, Travel, Travel Hacking

University, College, Institution

IBM

Course Skill Level

Introductory

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Python Basics for Data Science

To obtain a verified certificate from edX / IBM you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (39.00 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
IBM
Python Basics for Data Science
provided by edX

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School: IBM
Topic: Computer Science, Data Analysis and Statistics, Engineering