Description
Python for Data Science, AI & Development is a course in Python programming language and its application in data science, artificial intelligence and software development, published by Coursera Academy. This course is one of Coursera Academy’s most popular introductory Python courses, 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 every business and in 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 grow in the years to come.
This course is completely beginner-friendly and can introduce you to the basics of the Python programming language in just one hour. This training is completely project-oriented and during its training process, you will become familiar with the structure of data and the process of data analysis in Python. As mentioned some time ago, this training course is considered a prerequisite in a series of official programs and Corsara training packages, the most important of which are:
- IBM Data Analyst Professional Certificate
- IBM DevOps and Software Engineering Professional Certificate
- Fundamentals of Data Science with Python and SQL specialization
- IBM Data Engineering Professional Certificate
- IBM Applied AI Professional Certificate
- Fundamentals of Data Engineering Specialization
- IBM Full Stack Professional Software Developer Certificate
- Applied Data Science Specialization
- IBM Data Science Professional Certificate
What you will learn in The Python for Data Science, AI & Development
- Fundamentals of the 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
Editor: Coursera
Instructors: Joseph Santarcangelo
French language
Beginner level
Institution/university: IBM
Number of weeks: 5
Duration: Approximately 21 hours
Course subjects:
Week 1
Python Basics
Week 2
Python data structures
Week 3
Fundamentals of Python Programming
Week 4
Working with Data in Python
Week 5
API and data collection
Python for Data Science, AI, and Development
What prior knowledge is needed?
None
Pictures
Python Video Example for Data Science, AI, and Development
Installation guide
After ripping, watch with your favorite player.
english subtitle
Quality: 720p
Download links
File password(s): ngaur.com
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181 MB