List of Python Courses on Coursera
Python Crash Course - Coursera: This course is designed to introduce the basics of Python programming to beginners. The course covers fundamental topics such as variables, data types, control flow, functions, and modules. The aim of the course is to provide students with the necessary knowledge to start building simple Python programs.
Python Basics - Coursera: This course is a follow-up to the Python Crash Course and is designed to teach students the fundamentals of Python programming in more depth. Topics covered in this course include control structures, functions, lists, dictionaries, and file input/output.
Programming for Everybody (Getting Started with Python) - Coursera: This course is an introduction to Python programming for beginners. It covers basic programming concepts such as variables, expressions, functions, loops, and conditionals. Students will learn how to write simple Python programs and get familiar with the Python programming environment.
Python Specialization - Coursera: This is a series of courses designed to provide students with a comprehensive understanding of Python programming. The specialization covers topics such as data structures, algorithms, object-oriented programming, and web development using Python. It is designed for students who want to become proficient in Python programming.
Python Data Analysis - Coursera: This course focuses on using Python for data analysis. Topics covered include data cleaning, data wrangling, data visualization, and statistical analysis. The course is designed for students who want to learn how to use Python for data analysis in their work or research.
IBM Data Science Professional Certificate - Coursera: This is a professional certificate program designed to teach students the skills they need to become a data scientist. The program covers topics such as data analysis, data visualization, machine learning, and data storytelling. It is designed for students who want to pursue a career in data science.
Python for Applied Data Science and AI - Coursera: This course is designed to teach students how to apply Python programming to real-world data science problems. The course covers topics such as data cleaning, data wrangling, and data visualization. It is designed for students who have some programming experience and want to learn how to apply Python to data science.
Data Science Fundamentals with Python and SQL - Coursera: This is a series of courses designed to teach students the fundamentals of data science using Python and SQL. The courses cover topics such as data cleaning, data wrangling, data visualization, and statistical analysis. It is designed for students who want to become proficient in data science.
Statistics for Data Science with Python - Coursera: This course is designed to teach students the basics of statistics using Python. Topics covered include probability, hypothesis testing, regression analysis, and data visualization. The course is designed for students who want to learn how to use statistical methods in their data science work.
Automating Real-World Tasks with Python - Coursera: This course is designed to teach students how to automate real-world tasks using Python. Topics covered include web scraping, working with APIs, and automating file management. The course is designed for students who want to learn how to use Python to automate repetitive tasks. This course is part of the Google IT Automation with Python Professional Certificate.