Duke University’s Python Generators course provides a brief yet in-depth exploration of Python generators, which are a powerful tool for lazy evaluation and memory-efficient programming. The course covers the use of generators in functional programming and software engineering, making it ideal for advanced Python programmers looking to optimize their code.Python programming has emerged as one of the most sought-after skills in the tech industry, thanks to its versatility and ease of use. Whether you are a beginner looking to dive into the world of coding or an experienced programmer aiming to hone your skills, there is a Python course tailored to meet your needs. This article provides a detailed overview of 80 Python programming courses offered by various platforms, covering everything from introductory concepts to advanced techniques.
Duration: 2 months
Learning Format: Online
Skills Covered: Functional programming concepts, Python data structures, Object-oriented Python, Python exception handling, Python data types, Code debugging, Magic methods, Python namespaces, Python classes, JSON, Pythonic design patterns, Python function definition, Python best practices, Python decorator functions, Object-oriented design patterns, Object creation design patterns
Fees: Not Available
Source: Udacity
This Intermediate Python course by Udacity is designed for programmers with a basic understanding of Python who want to elevate their coding skills. The course dives deep into functional programming concepts, object-oriented programming, and advanced data structures. Learners will also explore Pythonic design patterns and best practices, making it an excellent choice for those looking to write efficient and scalable Python code.
Duration: 4 Weeks
Learning Format: Online
Skills Covered: Functional programming concepts, Python data structures, Object-oriented Python, Python exception handling, Python data types, Code debugging, Magic methods, Python namespaces, Python classes, JSON, Pythonic design patterns, Python function definition, Python best practices, Python decorator functions, Object-oriented design patterns, Object creation design patterns
Fees: Not Available
Source: Udacity
Udacity's Advanced Python Techniques course is perfect for those who want to master Python's more complex features. This course covers advanced topics like Python decorators, context managers, and metaclasses. It also focuses on writing clean, maintainable, and efficient code, making it ideal for developers who want to push their Python skills to the next level.
Duration: 4 Weeks
Learning Format: Online
Skills Covered: Python library fluency, Object-oriented Python, Command line tools, Python virtual environments, Web services, Application servers, Pythonic design patterns, Python scripting, Object creation design patterns, Pip, Abstraction, Python, Flask, Pep8, Modular code, Application routing, Python package management, Inheritance, Scripting, Application dependency management, Python modules, Fetching data, API fluency, REST APIs
Fees: Not Available
Source: Udacity
In this course, learners will gain expertise in managing large Python codebases and working with libraries. The course emphasizes practical skills such as setting up virtual environments, working with web services, and managing application dependencies. This course is highly recommended for developers working on large-scale Python projects or transitioning into backend development roles.
Duration: 4 Weeks
Learning Format: Online
Skills Covered: NumPy, Pandas, Control flow, Python scripting, Built-in Python functions, Python methods, Python function definition, Python package management, Python data types, Iterators, Python exception handling, Python best practices, Python operators, Python data structures, Docstrings, Anaconda, Python IDEs, Variable scope, List comprehension, Python syntax, User input handling
Fees: Not Available
Source: Udacity
This introductory course by Udacity is ideal for beginners who want to learn Python from scratch. The course covers fundamental concepts such as control flow, data structures, and scripting. Learners will also get hands-on experience with popular libraries like NumPy and Pandas, making this course a great starting point for those interested in data science or automation.
Duration: 8 hours
Learning Format: Online
Skills Covered: Python Fluency
Fees: Not Available
Source: Udacity
Programming with Python Fluency is a short but intensive course designed to help learners achieve fluency in Python programming. This course is particularly useful for those who want to quickly brush up on their Python skills or prepare for more advanced programming challenges. The course focuses on writing efficient, readable, and Pythonic code.
Duration: 4 Weeks
Learning Format: Online
Skills Covered: Python data types, Control flow, Python operators, Python exception handling, Lambda expressions, Code debugging, Python function definition, List comprehension, Generators, Variable scope, Iterators, Built-in Python functions, Pip, User input handling, Python data structures, Loops, Docstrings, Python scripting
Fees: Not Available
Source: Udacity
This course is tailored for those who are interested in applying Python in the field of artificial intelligence. It covers fundamental Python concepts, along with AI-specific topics such as lambda expressions and generators. The course is an excellent introduction for anyone looking to enter the AI and machine learning fields using Python.
Duration: 2 months
Learning Format: Online
Skills Covered: Python data types, Control flow, Python operators, Python exception handling, Lambda expressions, Code debugging, Python function definition, List comprehension, Generators, Variable scope, Iterators, Built-in Python functions, Pip, User input handling, Python data structures, Loops, Docstrings, Python scripting
Fees: Not Available
Source: Udacity
AI Programming with Python is a comprehensive course that prepares learners for a career in AI. The course covers all the essential Python skills needed for AI programming, including data types, control flow, and exception handling. Additionally, learners will delve into AI-specific topics such as list comprehensions, generators, and lambda expressions, making this course a must for aspiring AI professionals.
Duration: 1 month
Learning Format: Online
Skills Covered: Control flow in Python, Command line interface basics, Python functions, Code debugging, Python operators, Text processing in Python, Variable scope, Python syntax, User input handling, Python standard library, Python data structures, Coding best practices, Python data types, Linting, Python scripting, Pep8, Code refactoring, Built-in Python functions, Python turtle, Python function definition, Commenting code, Python variables, Basic Python
Fees: Not Available
Source: Udacity
This beginner-level course is perfect for those with no prior programming experience. It covers the basics of Python, including control flow, functions, and data structures. The course also introduces learners to best practices in coding, such as code refactoring and linting, which are essential for writing clean and maintainable code.
Duration: 4 Weeks
Learning Format: Online
Skills Covered: Object-oriented Python, Python data structures, Text processing in Python, Python classes, API requests, Python methods, JSON, Python exception handling, Python, Computer memory architecture
Fees: Not Available
Source: Udacity
This course is a continuation of Introduction to Programming with Python I and focuses on more advanced topics such as object-oriented programming, API requests, and JSON. Learners will also explore Python's memory architecture, which is crucial for understanding how Python handles data. This course is ideal for those who have completed the first part and are ready to dive deeper into Python programming.
Duration: 2 months
Learning Format: Online
Skills Covered: NumPy, Pandas, Control flow, Python scripting, Built-in Python functions, Python methods, Python function definition, Python package management, Python data types, Iterators, Python exception handling, Python best practices, Python operators, Python data structures, Docstrings, Anaconda, Python IDEs, Variable scope, Python syntax
Fees: Not Available
Source: Udacity
Udacity's Programming for Data Science with Python is a specialized course for those interested in data science. The course covers essential libraries such as NumPy and Pandas, along with Python scripting and data structures. Learners will also explore best practices in Python programming, making this course a solid foundation for a career in data science.
Duration: 6 months
Learning Format: Online
Skills Covered: Web scraping, Operators, Django, Sets, Conditional statements, Functions, Errors and exceptions, Object-oriented programming, Methods, Indexing, Dictionaries, Loops, File handling, Shell scripting
Fees: INR 21,000
Source: Simplilearn
Simplilearn’s Python Certification Course is a comprehensive program that covers a wide range of topics, including web scraping, Django, and shell scripting. The course is designed for those who want to gain a thorough understanding of Python and its applications in web development, data analysis, and automation. This course is ideal for professionals looking to enhance their Python skills for career advancement.
Duration: 2 months
Learning Format: Online
Skills Covered: Data wrangling, Data visualization, Web scraping, Python programming concepts, Scikit, Learn package for Natural Language Processing, Data exploration, Mathematical computing, Hypothesis building, NumPy and SciPy package
Fees: INR 15,990
Source: Simplilearn
This course focuses on the application of Python in data science. Learners will explore data wrangling, data visualization, and web scraping techniques. The course also covers advanced topics such as natural language processing using the Scikit-learn package. This course is ideal for data scientists and analysts looking to enhance their Python skills.
Duration: 2 months
Learning Format: Online
Skills Covered: Supervised and unsupervised learning, Linear and logistic regression, KMeans clustering, Decision tree, Boosting and Bagging techniques, Time series modeling, Kernel SVM, Naive Bayes, Random forest classifiers, Deep Learning fundamentals
Fees: INR 14,990
Source: Simplilearn
Simplilearn’s Machine Learning using Python course provides a comprehensive introduction to machine learning concepts and techniques. The course covers both supervised and unsupervised learning, as well as advanced topics like deep learning fundamentals and time series modeling. This course is perfect for those looking to transition into a machine-learning role or enhance their existing skills.
Duration: 25 hours
Learning Format: Online
Skills Covered: Data Science, Data Analysis, Python Programming, Numpy, Pandas
Fees: Not Available
Source: Coursera
This course, offered by IBM through Coursera, is designed for those interested in applying Python in data science and AI. The course covers essential Python libraries like Numpy and Pandas, as well as data analysis techniques. This course is ideal for beginners who want to explore the applications of Python in data science and AI development.
Duration: 15 hours
Learning Format: Online
Skills Covered: Model Selection, Data Analysis, Python Programming, Data Visualization, Predictive Modelling
Fees: Not Available
Source: Coursera
IBM's Data Analysis with Python course on Coursera focuses on the practical aspects of data analysis using Python. The course covers model selection, data visualization, and predictive modeling, making it ideal for those looking to apply Python in data-driven decision-making processes.
Duration: 2 months
Learning Format: Online
Skills Covered: Json, Xml, Python Programming, Database (DBMS)
Fees: Not Available
Source: Coursera
This specialization offered by the University of Michigan is designed for absolute beginners who want to learn Python. The course covers basic programming concepts, working with JSON and XML data, and database management. This course is perfect for those who want to start a career in programming or data analysis.
Duration: 32 hours
Learning Format: Online
Skills Covered: Python Programming, Python Syntax, Python Data Structures, Object-Oriented Programming (OOP), Fundamental Programming Concepts
Fees: Not Available
Source: Coursera
Google’s Crash Course on Python is designed for those who want a quick yet comprehensive introduction to Python. The course covers fundamental programming concepts, Python syntax, and data structures. It is an excellent starting point for beginners or professionals looking to learn Python for the first time.
Duration: 3 Weeks
Learning Format: Online
Skills Covered: Data Analysis, Python Programming, Numpy, Pandas
Fees: Not Available
Source: Coursera
Nanjing University’s Data Processing Using Python course focuses on the application of Python in data analysis. Learners will gain hands-on experience with NumPy and Pandas, making it ideal for those interested in data science or data processing roles.
Duration: 44 hours
Learning Format: Online
Skills Covered: Computer Programming, Django (Web Framework), Python Programming, Application Programming Interfaces (API), Cloud Hosting
Fees: Not Available
Source: Coursera
Meta's Programming in Python course on Coursera covers a wide range of topics, from basic programming concepts to advanced topics like Django and API development. This course is ideal for those interested in web development or backend programming.
Duration: 4 months
Learning Format: Online
Skills Covered: Text Mining, Python Programming, Pandas, Matplotlib
Fees: Not Available
Source: Coursera
This specialization by the University of Michigan is tailored for those looking to apply Python in data science. The course covers text mining, data visualization with Matplotlib, and data manipulation with Pandas. It is ideal for data scientists and analysts who want to enhance their Python skills for data-driven decision-making.
Duration: 3 Weeks
Learning Format: Online
Skills Covered: Python Programming, Numpy, Pandas, Wxpython
Fees: Not Available
Source: Coursera
This course focuses on the practical applications of Python in data processing, including the use of Numpy and Pandas for data manipulation. It is ideal for those interested in data science or data processing roles.
Duration: 18 hours
Learning Format: Online
Skills Covered: Python Syntax And Semantics, Programming Language, Computer Programming, Python Programming
Fees: Not Available
Source: Coursera
This course, part of the Python for Everybody Specialization, is designed for beginners who want to learn Python programming from scratch. It covers basic programming concepts, Python syntax, and semantics, making it an excellent starting point for aspiring programmers.
Duration: 3 months
Learning Format: Online
Skills Covered: JSON, Computer Programming, Python Programming, Sorting
Fees: Not Available
Source: Coursera
The Python 3 Programming Specialization from the University of Michigan is an advanced course that covers essential Python 3 concepts, including JSON, sorting algorithms, and computer programming principles. This course is ideal for learners who have basic Python knowledge and want to deepen their understanding of Python 3, especially in the context of software development and data management.
Duration: 6 months
Learning Format: Online
Skills Covered: Configuration Management, Python Programming, Version Control, Troubleshooting & Debugging, Automation
Fees: Not Available
Source: Coursera
The Google IT Automation with Python Professional Certificate is designed to equip learners with the skills needed to automate everyday tasks using Python. The course covers configuration management, version control, and debugging, making it ideal for IT professionals looking to streamline their workflows through automation. Additionally, the course offers hands-on projects to reinforce learning and provide practical experience.
Duration: 26 hours
Learning Format: Online
Skills Covered: Data Structure, Python Programming, Code Debugging
Fees: Not Available
Source: Coursera
Python Basics by the University of Michigan is a beginner-friendly course that covers the foundational concepts of Python programming, including data structures, code debugging, and basic programming principles. This course is ideal for those new to programming who want to build a solid foundation in Python before moving on to more advanced topics.
Duration: 18 hours
Learning Format: Online
Skills Covered: Python Syntax and Semantics, Data Structure, Tuple, Python Programming
Fees: Not Available
Source: Coursera
This course focuses on Python data structures, such as lists, tuples, and dictionaries. Offered by the University of Michigan, the course is perfect for learners who want to understand how data is stored and manipulated in Python. The course also covers Python syntax and semantics, providing a deeper understanding of how Python code is structured and executed.
Duration: 13 hours
Learning Format: Online
Skills Covered: Machine Learning, Regression, Hierarchical Clustering, SciPy and scikit-learn
Fees: Not Available
Source: Coursera
IBM's Machine Learning with Python course on Coursera introduces learners to the fundamental concepts of machine learning using Python. The course covers regression, clustering, and popular machine-learning libraries like SciPy and Scikit-learn. This course is ideal for those looking to apply machine learning techniques in their data science projects or gain a better understanding of how machine learning works in Python.
Duration: 1 month
Learning Format: Online
Skills Covered: Computer Programming, Cybersecurity, Python Programming, Attack and Defend, Pre-ATT&CK
Fees: Not Available
Source: Coursera
The Python for Cybersecurity Specialization, offered by Infosec on Coursera, focuses on using Python to address cybersecurity challenges. The course covers topics such as attack and defense strategies, pre-ATT&CK techniques, and Python scripting for cybersecurity tasks. This course is ideal for cybersecurity professionals who want to enhance their coding skills and apply Python to real-world security scenarios.
Duration: 1 month
Learning Format: Online
Skills Covered: Python Programming, Statistical Inference Methods, Data Visualization, Statistical Model
Fees: Not Available
Source: Coursera
The Statistics with Python Specialization from the University of Michigan offers a comprehensive introduction to statistical methods and their application in Python. The course covers statistical inference, data visualization, and the use of statistical models in Python. This course is ideal for data scientists and analysts who want to deepen their understanding of statistics and how to implement them using Python.
Duration: 2 months
Learning Format: Online
Skills Covered: Programming Principles, Data Structure, Computer Programming, Python Programming, Java Programming
Fees: Not Available
Source: Coursera
The Introduction to Programming with Python and Java Specialization offered by the University of Pennsylvania provides learners with a dual focus on Python and Java programming. The course covers fundamental programming principles, data structures, and best practices in both languages. This course is ideal for beginners who want to explore two of the most popular programming languages and understand their applications.
Duration: 3 Weeks
Learning Format: Online
Skills Covered: Financial Data Analysis, Financial Analysis, Python Programming, Statistical Analysis, Data Visualization
Fees: Not Available
Source: Coursera
The Python and Statistics for Financial Analysis course by The Hong Kong University of Science and Technology focuses on applying Python and statistical methods to financial data analysis. Learners will explore topics such as financial modeling, data visualization, and statistical analysis. This course is ideal for finance professionals who want to use Python to enhance their data analysis capabilities.
Duration: 9 hours
Learning Format: Online
Skills Covered: Codeskulptor, Python Syntax and Semantics, Python Programming, Debugging
Fees: Not Available
Source: Coursera
Rice University's Python Programming Essentials course is designed for beginners who want to learn the basics of Python programming. The course covers Python syntax and semantics, basic programming principles, and debugging techniques. This course is ideal for those who are new to programming and want to build a strong foundation in Python.
Duration: 28 hours
Learning Format: Online
Skills Covered: Programming Principles, Python Syntax and Semantics, Computer Programming, Python Programming, Python Tools
Fees: Not Available
Source: Coursera
The Introduction to Python Programming course from the University of Pennsylvania offers a comprehensive introduction to Python for beginners. The course covers fundamental programming principles, Python syntax, and essential Python tools. This course is ideal for those who want to start their programming journey with a strong emphasis on Python.
Duration: 1 month
Learning Format: Online
Skills Covered: Codeskulptor, Data Analysis, Python Programming, Data Visualization
Fees: Not Available
Source: Coursera
Rice University's Introduction to Scripting in Python Specialization focuses on the use of Python for scripting and data analysis. The course covers data visualization techniques, scripting in Codeskulptor, and Python programming. This course is ideal for learners who want to use Python for automating tasks, data processing, and analysis.
Duration: 19 hours
Learning Format: Online
Skills Covered: Programming Principles, Python Syntax and Semantics, Computer Programming, Python Programming
Fees: Not Available
Source: Coursera
An Introduction to Interactive Programming in Python (Part 1) by Rice University offers an engaging introduction to Python programming through interactive projects. The course covers basic programming principles, Python syntax, and programming best practices. This course is ideal for beginners who want to learn Python in a fun and interactive way.
Duration: 33 hours
Learning Format: Online
Skills Covered: Databases and Interacting with Websites, Developing a Simple Application, Creating User-defined Functions, Exploring Programming Concepts, Structuring Code for Reuse
Fees: Not Available
Source: Coursera
The Python Scripting Fundamentals course, offered by Akamai Technologies on Coursera, provides an in-depth introduction to Python scripting. The course covers essential scripting concepts, including interacting with websites, developing applications, and structuring code for reuse. This course is ideal for IT professionals who want to learn Python scripting for automation and application development.
Duration: 1 month
Learning Format: Online
Skills Covered: Computer Science, Computer Programming, Python Programming, Object-Oriented Programming (OOP)
Fees: Not Available
Source: Coursera
Codio's Programming in Python: A Hands-on Introduction Specialization provides a practical approach to learning Python. The course covers fundamental programming concepts, object-oriented programming, and Python tools. This course is ideal for learners who prefer hands-on learning and want to build real-world Python applications.
Duration: 9 hours
Learning Format: Online
Skills Covered: Data, Data Structures, Tabular Data, CSV Files, Organizing Data
Fees: Not Available
Source: Coursera
Rice University's Python Data Analysis course focuses on the use of Python for analyzing and organizing data. Learners will explore data structures, tabular data, and CSV files, making this course ideal for those interested in data science and data analysis.
Duration: 3 Weeks
Learning Format: Online
Skills Covered: Programming Principles, Python Programming, Coding
Fees: Not Available
Source: Coursera
The Introduction to Programming using Python course by the University of Leeds offers a quick and engaging introduction to Python programming. The course covers basic programming principles, Python syntax, and coding best practices. This course is ideal for beginners who want to learn Python in a short period.
Duration: 31 hours
Learning Format: Online
Skills Covered: Python Programming, Machine Learning (ML) Algorithms, Machine Learning, Scikit-Learn
Fees: Not Available
Source: Coursera
The Applied Machine Learning in Python course by the University of Michigan focuses on the practical application of machine learning algorithms using Python. Learners will explore Python programming, Scikit-learn, and various machine learning techniques. This course is ideal for data scientists and analysts who want to apply machine learning to real-world problems using Python.
Duration: 8 hours
Learning Format: Online
Skills Covered: Tuple, Python Programming, Debugging
Fees: Not Available
Source: Coursera
Rice University's Python Data Representations course covers essential Python concepts such as tuples, data structures, and debugging techniques. This course is ideal for beginners who want to learn how data is represented and manipulated in Python.
Duration: 55 mins
Learning Format: Online
Skills Covered: Statistics, Data Science, Python Programming, Visual Studio Code, Pandas
Fees: Not Available
Source: Coursera
The Processing Data with Python course provides a quick and focused introduction to data processing using Python. Learners will gain experience with Pandas, Visual Studio Code, and basic data processing techniques. This course is ideal for those who want a brief overview of data processing in Python.
Duration: 3 Weeks
Learning Format: Online
Skills Covered: Computer Programming, Algorithms, Python Programming, Problem Solving, Debugging
Fees: Not Available
Source: Coursera
Duke University's Python Programming Fundamentals course offers a comprehensive introduction to programming concepts, algorithms, and problem-solving techniques using Python. This course is ideal for beginners who want to build a strong foundation in Python programming and computer science.
Duration: 5 months
Learning Format: Online
Skills Covered: Data Science, Big Data, Python Programming, Information Engineering, Kubernetes, Data Visualization, Apache Hadoop, Docker Container, Apache Spark, Snowflake (Data Warehouse)
Fees: Not Available
Source: Coursera
The Applied Python Data Engineering Specialization from Duke University focuses on the use of Python in data engineering and big data. The course covers topics such as data science, Apache Hadoop, Docker, and Kubernetes. This course is ideal for data engineers and IT professionals looking to enhance their Python skills in data engineering.
Duration: 17 hours
Learning Format: Online
Skills Covered: Python Libraries, Data Science, Data Analysis, Python Programming, Data Visualization
Fees: Not Available
Source: Coursera
The Data Analysis Using Python course by the University of Pennsylvania covers essential Python libraries, data visualization techniques, and data analysis methods. This course is ideal for data scientists and analysts who want to enhance their Python skills in data analysis.
Duration: 2 hours
Learning Format: Online
Skills Covered: Defensive Python, Brute-Force Detection, Detecting FTP Brute Force, Scapy, Traffic Analysis, Detecting Anomalous Network Traffic
Fees: Not Available
Source: Coursera
Infosec's Defensive Python course focuses on using Python to detect and defend against cyber threats. The course covers brute-force detection, traffic analysis, and anomaly detection. This course is ideal for cybersecurity professionals who want to use Python for defensive purposes.
Duration: 20 hours
Learning Format: Online
Skills Covered: Computer Programming, Data Science, Python Programming, Coding, Flow control
Fees: Not Available
Source: Coursera
The Introduction to Python Fundamentals course by the University of Colorado Boulder offers a comprehensive introduction to Python programming, covering basic coding concepts, data science, and flow control. This course is ideal for beginners who want to learn Python programming fundamentals.
Duration: 3 Weeks
Learning Format: Online
Skills Covered: Numpy, Dataframes, Strings and Files, Data Visualization, Object-Oriented Programming
Fees: Not Available
Source: Coursera
KAIST's Practical Python for AI Coding 2 course focuses on the application of Python in AI coding, covering topics such as Numpy, data frames, and data visualization. This course is ideal for AI enthusiasts who want to enhance their Python coding skills for AI applications.
Duration: 2 months
Learning Format: Online
Skills Covered: Python Programming, dplyr tidyverse ggplot2 tidyr, Regressione LASSO PLS Ridge lineare multipla, Regressione e clustering con R, PyTorch NumPy Pandas Matplotlib
Fees: Not Available
Source: Coursera
The Data Science con Python e R Specialization offered by Università di Napoli Federico II covers both Python and R programming languages, focusing on data science applications. Learners will explore data manipulation, regression, and clustering techniques using both languages. This course is ideal for data scientists who want to be proficient in both Python and R.
Duration: 16 hours
Learning Format: Online
Skills Covered: Computer Programming, Python Programming, Computer Language, Computer Coding
Fees: Not Available
Source: Coursera
Arizona State University's Introduction to Python course offers a comprehensive introduction to Python programming, covering essential programming concepts and coding techniques. This course is ideal for beginners who want to start their programming journey with Python.
Duration: 24 hours
Learning Format: Online
Skills Covered: Data Analysis, Python Programming, Pandas, Data Visualization
Fees: Not Available
Source: Coursera
Python Data Analytics by Meta on Coursera is designed for learners who want to enhance their data analysis skills using Python. The course covers essential libraries like Pandas for data manipulation and visualization. This course is ideal for data analysts, scientists, and anyone interested in data-driven decision-making using Python.
Duration: 2 hours
Learning Format: Online
Skills Covered: Data Structure, Python Sets, Python Programming, Python Dictionaries
Fees: Not Available
Source: Coursera
Python for Beginners: Data Structures is a short course focused on teaching the fundamentals of data structures in Python, including sets and dictionaries. This course is perfect for beginners who want to understand how data is organized and manipulated in Python, providing a solid foundation for more advanced programming topics.
Duration: 10 hours
Learning Format: Online
Skills Covered: Computer Programming, Python Programming, Computer Language, Computer Coding
Fees: Not Available
Source: Coursera
Arizona State University’s Object-Oriented Programming and GUI with Python course provides learners with an introduction to object-oriented programming concepts and the development of graphical user interfaces (GUIs) using Python. This course is ideal for those looking to build desktop applications or enhance their understanding of object-oriented design in Python.
Duration: 11 hours
Learning Format: Online
Skills Covered: Python Complexity, Internet Mapping Glitch, Demo and Code Lesson
Fees: Not Available
Source: Coursera
Python Basics: Problem Solving with Code, offered by the University of California on Coursera, focuses on using Python to solve common programming problems. The course covers various problem-solving strategies and introduces learners to the complexities of Python programming. This course is perfect for those who want to improve their coding skills through practical examples and exercises.
Duration: 26 hours
Learning Format: Online
Skills Covered: Python Programming, Computational Thinking, Processing (Programming Environment), Programming Graphics
Fees: Not Available
Source: Coursera
The Python Fundamentals for Designers course by the University of Michigan is tailored for those in the design field who want to learn Python. The course emphasizes computational thinking and programming graphics, making it ideal for designers who want to integrate programming into their creative process. The course covers essential Python programming concepts, providing a strong foundation for further exploration.
Duration: 23 hours
Learning Format: Online
Skills Covered: Python Programming
Fees: Not Available
Source: Coursera
Northeastern University's Basic Programming in Python I is designed for beginners who want to learn the basics of Python programming. The course covers fundamental programming concepts and Python syntax, making it an excellent starting point for those new to programming.
Duration: 2 hours
Learning Format: Online
Skills Covered: Software Engineering, Computer Programming, Python Programming, Object-Oriented CSS, Inheritance Patterns
Fees: Not Available
Source: Coursera
Duke University’s Object-Oriented Programming in Python course provides a concise introduction to object-oriented programming (OOP) concepts in Python. The course covers topics such as inheritance patterns, object-oriented design, and OOP best practices. This course is ideal for programmers who want to deepen their understanding of OOP in Python and apply it to software engineering projects.
Duration: 2 hours
Learning Format: Online
Skills Covered: Shell Commands, Python Programming, Command Line Tools
Fees: Not Available
Source: Coursera
The Python Scripting course by Duke University focuses on using Python for scripting tasks, such as automating repetitive tasks and managing system operations. The course covers essential shell commands, Python programming, and command-line tools, making it ideal for IT professionals and developers looking to improve their automation skills.
Duration: 10 hours
Learning Format: Online
Skills Covered: Python Programming
Fees: Not Available
Source: Coursera
Basic Programming in Python II, offered by Northeastern University, is a continuation of the first part of the course and covers more advanced Python programming concepts. This course is perfect for learners who have completed the first part and want to deepen their understanding of Python and its applications.
Duration: 34 hours
Learning Format: Online
Skills Covered: Logical Operators, Python (Programming Language), Object-Oriented Programming Language
Fees: Not Available
Source: Coursera
Python for the Absolute Beginner by KodeKloud is designed for individuals with no prior programming experience. The course covers basic Python syntax, logical operators, and object-oriented programming concepts, providing a comprehensive introduction to Python. This course is ideal for those looking to start their programming journey with a solid understanding of Python.
Duration: 5 hours
Learning Format: Online
Skills Covered: Python Programming, Code Debugging, Code Testing
Fees: Not Available
Source: Coursera
The Python Project: Software Engineering and Image Manipulation course by the University of Michigan focuses on using Python for software engineering tasks, such as image manipulation and code testing. Learners will work on a practical project that involves manipulating images using Python, making this course ideal for those interested in software engineering and image processing.
Duration: 8 hours
Learning Format: Online
Skills Covered: Python Documentation, Pygal Plotting Library
Fees: Not Available
Source: Coursera
Rice University’s Python Data Visualization course provides a focused introduction to data visualization using Python. The course covers the Pygal plotting library and Python documentation, making it ideal for data scientists and analysts who want to visualize data effectively using Python.
Duration: 25 hours
Learning Format: Online
Skills Covered: Natural Language Toolkit (NLTK), Text Mining, Python Programming, Natural Language Processing
Fees: Not Available
Source: Coursera
The Applied Text Mining in Python course by the University of Michigan focuses on using Python for text mining and natural language processing (NLP). The course covers the Natural Language Toolkit (NLTK), text mining techniques, and Python programming for NLP. This course is ideal for data scientists, analysts, and AI enthusiasts who want to explore text mining and NLP using Python.
Duration: 41 hours
Learning Format: Online
Skills Covered: Monte Carlo Method, Python (Programming Language), Software Development, Program Decomposition, Monte Carlo Methods
Fees: Not Available
Source: Coursera
Rice University's Designing Larger Python Programs for Data Science course focuses on the design and development of large-scale Python programs for data science applications. The course covers topics such as the Monte Carlo method, program decomposition, and software development best practices. This course is ideal for data scientists and software engineers looking to build scalable and efficient Python programs.
Duration: 11 hours
Learning Format: Online
Skills Covered: Python Programming, Application Development, Web Application, Flask, Artificial Intelligence (AI)
Fees: Not Available
Source: Coursera
The Developing AI Applications with Python and Flask course by IBM on Coursera teaches learners how to build AI-powered web applications using Python and Flask. The course covers the fundamentals of application development, Flask framework, and integrating AI models into web applications. This course is ideal for developers and AI practitioners who want to create and deploy AI applications using Python.
Duration: 1 hour
Learning Format: Online
Skills Covered: Software Engineering, Lazy Evaluation, Python Programming, Functions, Functional Programming
Fees: Not Available
Source: Coursera
Duke University’s Python Generators course provides a brief yet in-depth exploration of Python generators, which are a powerful tool for lazy evaluation and memory-efficient programming. The course covers the use of generators in functional programming and software engineering, making it ideal for advanced Python programmers looking to optimize their code.
Duration: 26 hours
Learning Format: Online
Skills Covered: Graph Theory, Network Analysis, Python Programming, Social Network Analysis
Fees: Not Available
Source: Coursera
The Applied Social Network Analysis in Python course by the University of Michigan focuses on using Python for social network analysis. The course covers graph theory, network analysis techniques, and Python programming for analyzing social networks. This course is ideal for data scientists and researchers interested in exploring social networks using Python.
Duration: 2 hours
Learning Format: Online
Skills Covered: Data Science, Data Operations, Data Analysis, Python Programming
Fees: Not Available
Source: Coursera
Python for Data Analysis: Pandas & NumPy is a short course that introduces learners to data analysis using Python's Pandas and NumPy libraries. The course covers data operations, analysis techniques, and Python programming, making it ideal for data analysts and scientists who want to enhance their data analysis skills with Python.
Duration: 19 hours
Learning Format: Online
Skills Covered: Statistics, Data Analysis, Python Programming, Data Visualization
Fees: Not Available
Source: Coursera
The Understanding and Visualizing Data with Python course by the University of Michigan teaches learners how to analyze and visualize data using Python. The course covers statistical analysis, data visualization techniques, and Python programming, making it ideal for data scientists and analysts looking to improve their data presentation skills.
Duration: 19 hours
Learning Format: Online
Skills Covered: Probability and Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Data Visualization, Regression Analysis
Fees: Not Available
Source: Coursera
IBM's Statistics for Data Science with Python course on Coursera focuses on applying statistical methods in data science using Python. The course covers probability, descriptive statistics, hypothesis testing, and regression analysis. This course is ideal for data scientists and analysts who want to strengthen their statistical skills using Python.
Duration: 3 Weeks
Learning Format: Online
Skills Covered: Llama, Generative AI, Applied Machine Learning, Python Programming
Fees: Not Available
Source: Coursera
Llama for Python Programmers, offered by the University of Michigan, is designed for Python programmers interested in learning about Llama, a generative AI model. The course covers the application of Llama in machine learning and Python programming, making it ideal for AI enthusiasts and data scientists looking to explore new AI technologies.
Duration: 51 hours
Learning Format: Online
Skills Covered: Data Structure, Vim, Python Programming, Visual Studio Code, Pandas
Fees: Not Available
Source: Coursera
Duke University’s Python and Pandas for Data Engineering course focuses on using Python and Pandas for data engineering tasks. The course covers data structures, data manipulation, and Python programming, making it ideal for data engineers and IT professionals looking to enhance their Python skills for data engineering.
Duration: 52 hours
Learning Format: Online
Skills Covered: Python, Web Scraping, NumPy, Plotly, Tkinter, GitHub, Flask, APIs, SQLite
Fees: INR 3,099
Source: Udemy
The Complete Python Pro Bootcamp on Udemy is an extensive course that covers everything from Python basics to advanced topics like web scraping, Flask, and APIs. The course is ideal for beginners and intermediate learners who want to become proficient in Python programming. With hands-on projects and real-world applications, this course offers comprehensive training for aspiring Python developers.
Duration: 22 hours
Learning Format: Online
Skills Covered: Installing Python, Running Python Code, Strings, Number Data Types, Print Formatting, Polymorphism, File I/O, Advanced Methods
Fees: INR 3,099
Source: Udemy
The Complete Python Bootcamp From Zero to Hero in Python is one of Udemy's most popular Python courses. It covers the basics of Python programming, including data types, file I/O, and object-oriented programming. This course is ideal for beginners who want a thorough introduction to Python, with plenty of practical exercises and projects.
Duration: 57 hours
Learning Format: Online
Skills Covered: Python Programming, Multithreaded Applications, DataStructure, OS, NumPy, Math, DateTime, Tkinter, Database Programming, Functional and Object-Oriented Programming
Fees: INR 499
Source: Udemy
Learn Python Programming - Beginner to Master is an extensive course on Udemy that takes learners from the basics of Python programming to advanced topics like multithreading and database programming. The course also covers functional and object-oriented programming, making it ideal for those who want to become Python experts. With over 57 hours of content, this course offers in-depth training for aspiring Python developers.
Duration: 19 hours
Learning Format: Online
Skills Covered: HTML 5, CSS 3, Figma, Flask, Python, Jinja2, MongoDB
Fees: INR 449
Source: Udemy
The Web Developer Bootcamp with Flask and Python in 2024 on Udemy is designed for aspiring web developers who want to learn how to build web applications using Flask and Python. The course covers HTML5, CSS3, Figma, Jinja2, and MongoDB, making it ideal for those interested in full-stack web development.
Duration: 30.5 hours
Learning Format: Online
Skills Covered: Python Developer, Object-Oriented Programming, Python, CSVs, PDFs, Function Programming, Machine Learning Model, Web Scraper, Jupyter Notebooks, PyCharm, VS Code
Fees: INR 599
Source: Udemy
The Complete Python Developer course on Udemy is tailored for those who want to become professional Python developers. The course covers a wide range of topics, including object-oriented programming, function programming, machine learning, and web scraping. It also includes hands-on projects using Jupyter Notebooks, PyCharm, and VS Code, making it ideal for those looking to build a career in Python development.
Duration: 4 hours
Learning Format: Online
Skills Covered: Python, Strings, Flow Control, Loops
Fees: INR 599
Source: Udemy
Python for Absolute Beginners on Udemy is a short course designed for individuals with no prior programming experience. The course covers the basics of Python, including strings, flow control, and loops, making it ideal for those who want to start their programming journey with Python.
Duration: 14 hours
Learning Format: Online
Skills Covered: NumPy, OpenCV, Face Detection Software, Detect Objects, Watershed Algorithm
Fees: INR 499
Source: Udemy
Python for Computer Vision with OpenCV and Deep Learning on Udemy is designed for learners who want to explore computer vision using Python. The course covers essential libraries like NumPy and OpenCV and includes practical projects on face detection and object recognition. This course is ideal for those interested in AI and computer vision applications.
Duration: 52 hours
Learning Format: Online
Skills Covered: Python, Web Scraping, NumPy, Plotly, Tkinter, GitHub, Flask, APIs, SQLite
Fees: INR 3,099
Source: Udemy
The Complete Python Pro Bootcamp on Udemy is a comprehensive course that takes learners from beginner to pro in Python programming. The course covers web scraping, Flask, APIs, and data visualization with Plotly. With hands-on projects and real-world applications, this course is ideal for those who want to master Python programming and apply it in various domains.
The array of Python programming courses available today is vast, catering to learners of all levels and interests. Whether you're a beginner starting from scratch or a seasoned programmer looking to specialize in a specific area, there's a course tailored to meet your needs. From foundational programming skills to advanced topics like AI, data science, and web development, these courses provide a pathway to mastery in Python. Investing in these courses will not only enhance your technical skills but also open doors to a wide range of career opportunities in the tech industry.