Back to Catalog

Python for Data Science, AI & Development

Learn on

Coursera logo
Beginnercourse

Learn Python from scratch in this beginner-friendly course - no prior programming experience is required! Gain hands-on experience and master data structures, logic, APIs, web scraping and more. Suitable for Data Science, Data Analytics, Software Development and more.

Language

  • English

Topic

  • Python

Enrollment Count

  • 2.56K

Skills You Will Learn

  • Python Programming, Data Analysis, Programming Principles, Data Structures, Pandas, Numpy

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 26 hours

Platform

  • Coursera

Last Update

  • May 8, 2024
About This course
Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs.


You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.


This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.

Instructors

Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

Read more