Coursera – Python for Data Science, AI & Development 2024-11
Coursera – Python for Data Science, AI & Development 2024-11 Downloadly IRSpace

Python for Data Science, AI & Development is a Python programming language course and its application in data science, artificial intelligence and software development, published by Coursera Academy. This course is one of the most popular Python introductory courses at Coursera Academy, prepared in partnership with IBM, and is a prerequisite for a range of Corsara training programs and collections. Python is one of the most popular and widely used programming languages in the world and is used in almost all companies and various industrial fields, from artificial intelligence to software development. There is a huge demand for professional Python developers, and this demand is expected to continue to rise in the coming years.
This course is completely beginner and can introduce you to the basics of the Python programming language in just one hour. This training course is completely project-oriented and during its training process, you will get acquainted with the data structure and data analysis process in Python. As mentioned a while ago, this training course is considered as a prerequisite in a series of official programs and Corsara training sets, the most important of which are the following:
- IBM Data Analyst Professional Certificate
- IBM DevOps and Software Engineering Professional Certificate
- Data Science Fundamentals with Python and SQL Specialization
- IBM Data Engineering Professional Certificate
- IBM Applied AI Professional Certificate
- Data Engineering Foundations Specialization
- IBM Full Stack Software Developer Professional Certificate
- Applied Data Science Specialization
- IBM Data Science Professional Certificate
What you will learn in The Python for Data Science, AI & Development
- Basic principles of Python programming language such as data types (data types), variables and expressions (Expressions)
- Types of data structures in the Python programming language such as lists, collections or sets, dictionaries, etc.
- Categories, objects, functions, loops, and classes in the Python programming language and the uses and benefits of each
- Pandas and Numpy data analysis libraries
- Data science
- And …
Course Specifications
Publisher: Coursera
Instructors: Joseph Santarcangelo
Language: English
Level: Beginner
Institution/university: IBM
Number of Weeks: 5
Duration: Approximately 25 hours
Course Topics:
What background knowledge is necessary?
None
Pictures
Python for Data Science, AI & Development Sample Video
Installation Guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
The version of 2024/7 compared to 2022/6 has reduced the number of 6 lessons and the duration of 26 minutes.
Version 2024/11 has not changed compared to 2024/7.
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Size
143 MB