Python is an object-oriented, high-level programming language with dynamic semantics that is interpreted. Its built-in high-level data structures, together with dynamic typing and dynamic binding, make it particularly appealing for Rapid Application Development. Python’s concise, easy-to-learn syntax prioritises readability, lowering software maintenance costs.
Python is frequently embraced by programmers due to the enhanced productivity it delivers. The cycle of edit-test-debug is extremely rapid. Debugging Python applications is simple: a bug or incorrect input will never result in a segmentation fault. When the interpreter identifies an error, it throws an exception. These features make this language a unique one.
If you are looking to learn python then you are at the right place. Python is one of the best programming languages and is in great demand. Here is the list of the best free Python courses online that you can do 🤓🌟
List of Free Python Courses Online
1. Introduction To Python Programming By Udemy:
This course contains everything you’ll need to know to get started with Python, as well as a few bonuses. You’ll start with the fundamentals of Python, learning about strings, variables, and data types. You’ll soon be learning about loops and conditions in Python. Following that, you’ll learn a little bit about file manipulation and functions. By then, you’ll have mastered the fundamentals of Python. The simple step-by-step lectures will walk you through all you’ll need to know about coding in no time.
What you’ll Learn
- Getting Started with Python
- Variables and Multiple Assignment
- Arithmetic Operators and Strings
- Placeholders in Strings
- Introduction to Lists
- Introduction to Dictionaries
- Tuples
- Conditional Statements
- For Loops
- While Loops
- Try and Except
- Functions
- In-Built Functions
- Object-Oriented Programming
- Inheritance
Duration: 1hr 39min
2. Python from Beginner to Intermediate in 30 min By Udemy:
They provide a Python Programming Course that guarantees quick learning processes while requiring only basic math and English expertise. They provide a free suite of classes and resources to anyone who is interested in learning more about the Python programming language.
You will learn to use a language that is being used more and more in our current culture faster than predicted. Every programmer, even those with little expertise, will be able to customise the interface and working environment to meet their own requirements.
What you’ll learn:
- How to Program in Python Effortlessly
- Python as a programming language
- Will prepare for advanced python programming ideas.
Duration: 1hr 32min
3. Python for Absolute Beginners! By Udemy:
If you want to learn how to programme, this is the course for you! This course is intended for total novices with little to no programming experience, and it will teach you how to get started coding using Python 3.
This course will cover the following topics:
- Installation of Python
- PyCharm IDE configuration for running Python scripts in the terminal
- Numbers, strings, Boolean operators, lists, dictionaries, and variables are all supported.
- Functions, parameters, return values, loops, and modules are all examples of data structures.
- The final project will be based on the knowledge presented in the course.
Duration: 2hr 16min
4. Learn Python 3.6 for Total Beginners By Udemy:
This course will teach you the basics of any programming language using Python 3.6 and Anaconda 5.0.0 with Jupyter Notebook! The course is appropriate for people who are either absolutely new to programming or who are transitioning from another programming language (R, JavaScript, etc.) and want to gain a strong understanding of Python.
There are a total of 7 exercises with brain tormenting tasks between parts 3 and 8, with full solutions available in both lectures and pdf format.
You will discover:
- What are lists, tuples, and dictionaries, and how do you utilise them?
- How to Use Control Flow (Logic) in Coding
- Handle blunders
- Create and put into action functions
- How to Convert Functions to Lambda Expressions
- How to Convert For Loops to List Completion
- What is the difference between for loops and while loops?
- String Formatting
- Use txt files to get things done.
5. Learn Python: Build a Virtual Assistant By Udemy:
This course will take you from beginning to intermediate level in an entertaining way by having you create a real-world application! This course will teach you how to construct and configure a virtual assistant for your computer.
This course is intended for novices with a basic understanding of how programming works, but you need to have a fundamental understanding of programming. Enrollees will be able to construct a real-world, bespoke application for your usage.
Duration: 46 Minutes
6. Free Python 101 Class Beginners Bootcamp Intro to Python NYC By Udemy:
Beginners interested in using Python for analytics can begin with this Python 101 Bootcamp Course. Anyone who wants to be a python hero and become a superhero can enrol in this course. After completing this course, students will have gained confidence in using Python and will be able to progress to Python for Data Analytics.
Beginners interested in using Python for analytics can begin with this Python 101 Bootcamp Course. Anyone who wants to be a python hero and become a superhero can enrol in this course. After completing this course, students will have gained confidence in using Python and will be able to progress to Python for Data Analytics. There is no programming expertise required for this course, but you must be willing to break the code.
What you’ll discover:
- Prepare to join our Data Science Bootcamp in NYC by calling 312 285 6886.
- Find and fix bugs in the code, and get ready for Bootcamp in New York.
- Search Google for assistance with the error, and then ask yourself and Google for the correct solution.
- Gain the confidence to enrol in a part-time evening Bootcamp in New York City.
- After completing this course, students will have gained confidence in their ability to utilise Python and will be able to progress to Python for Data Analytics.
Duration: 2hr 25min
7. Python For Data Science By Udemy:
This course is designed exclusively for A.I. aspirants. It covers all of the subjects covered in PYTHON BASICS. However, aspirants from other industries, such as automation, chatbots, web developers, and so on, might also benefit from this course.
Because this course will provide a basic understanding of all disciplines, you will be able to quickly self-learn the Python library. After completing this course, you will have the knowledge and abilities to confidently apply for Python programming jobs.
What you’ll discover:
- Learn the necessary Python abilities to advance into specialised fields such as Data Science (Machine Learning/Deep Learning), Big Data, Automation Testing, Web development, and so on.
- Have the necessary Python abilities and knowledge to confidently apply for Python programming jobs.
Duration: 3hr 55min
8. Learn programming with Python By Udemy:
This is a beginner’s level course. In this course, you will learn Python from the ground up. This course covers the fundamentals of Object-Oriented Programming. This course assumes that the student has no prior experience with Python programming.
Students will learn the fundamentals of programming and how programmes are executed. This course is only for beginners; it is not appropriate for students who have prior experience programming in Python.
What you’ll discover:
- Learn the necessary Python abilities to advance into specialised fields such as Data Science (Machine Learning/Deep Learning), Big Data, Automation Testing, Web development, and so on.
- Have the necessary Python abilities and knowledge to confidently apply for Python programming jobs.
Duration: 12hr 13min
9. Learn Python Language Fundamentals In Simple Way By Udemy:
Anyone interested in learning the fundamentals of Python, preparing for Python interviews, obtaining Python certification, and improving their day-to-day coding skills in Python can participate in this course.
This programme has an excellent explanation of Python’s foundations. While you won’t be doing any actual code, this is an excellent foundation for understanding the purpose and constraints of each data type.
Duration: 10hr 57min
10. Winning at Python: Start Learning Python for FREE By Udemy:
This course is for you if you have never programmed before or if you already know the basic syntax. It is designed to teach you the most important Python programming abilities in a concise and easy-to-understand way. This course will introduce you to Python 3.
This course will teach you Python in a hands-on way, with each lecture accompanied by a full coding screencast and a related code notebook! Learn in whichever way works best for you!
You will learn a wide range of topics, such as:
- Python Installation
- Python Code Execution
- Data Types for Numbers
- Print Formatting
- Object-Oriented Programming (OOP) is an abbreviation for Object Orient
Duration: 1hr 25min
11. Basics of Python By Udemy:
This free, concise course will teach you the essentials of writing Python scripts. You’ll learn and comprehend everything you need to know and understand in Python (and we’ll do it quickly).
This one-hour course covers more topics than many other courses do in numerous hours. Instead of going over all of the technical use cases, you’ll concentrate on learning through examples and scenarios. All of the technical use cases become second nature after you have a working knowledge of all of the components.
Duration: 1hr 47min
12. Python for Data Analysis By Udemy:
You will be shown how to integrate your previous Python expertise with tools like Pandas and Numpy in this course. Approaching some of the higher-order data types can be scary if you have just worked with the fundamental Python data types.
The format of this course progresses from the most basic tools to the most complicated, ensuring that you stay focused on what you need while expanding your data science knowledge. This course offers a brief overview of what you would need for data analysis in or using Python, as well as how you would utilise it.
What you’ll learn:
- You’ll learn how to use Python’s most popular data analysis tools, such as JupyterLab, Numpy, and Pandas.
- You’ll learn how to use Matplotlib and Seaborn to generate data visualisations.
Duration: 1hr 10min
13. Python Crash Course for Data Science and Machine Learning By Udemy:
This course is intended for novices who want to get started in the practical side of data science. Using the JupyterLab tool and Jupiter notebooks, you will study Python foundations and syntax for generating data science projects. The course includes a summary exercise as well as a complete Python solution.
You will discover:
- Python syntax for data science project development
- JupyterLab is being used for Jupiter notebooks.
- Variables and Data Structures
- IF and For-Loop Statements Lists and Dictionaries
- Functions, Classes, Objects, Attributes, and Methods are all types of objects.
- Data Science Project Libraries
Duration: 1hr 39min
14. CS50’s Introduction to Artificial Intelligence with Python By edX:
This course delves into the principles and algorithms at the heart of modern artificial intelligence, delving into the theories that underpin technologies such as game-playing engines, handwriting recognition, and machine translation.
As they incorporate graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning into their own Python programmes, students gain exposure to the theory underlying them.
By the end of the course, students will have gained experience in libraries for machine learning as well as knowledge of artificial intelligence principles that will allow them to design their own intelligent systems.
With the help of this course, you will master the theoretical frameworks that enable these new technologies while obtaining practical expertise in how to implement these powerful techniques in your work.
What you’ll learn:
- Graph search algorithms
- Adversarial search
- Knowledge representation
- Logical inference
- Probability theory
- Bayesian networks
- Markov models
- Constraint satisfaction
- Machine learning
- Reinforcement learning
- Neural networks
- Natural language processing
Duration: Estimated 7 weeks
15. Using Python for Research By edX:
Take your introductory Python programming expertise to the next level by learning how to utilise Python 3 for research. This course bridges the gap between Python beginning and advanced courses. While there are many good introductory Python classes available, most do not go in-depth enough to allow you to apply your Python abilities to research projects.
After covering the fundamentals of Python 3, you will learn about tools typically used in research settings in this course. A new module on statistical learning is included in this version of the course.
What you’ll learn:
- Python 3 programming basics (a review)
- Python tools (e.g., NumPy and SciPy modules) for research applications
- How to apply Python research tools in practical settings
Duration: Estimated 12 weeks
16. Machine learning with Python for finance professionals By edX:
This machine learning course focused on teaching practical Python skills to financial professionals who want to make the most of these time-saving tools in their organisation.
This course will provide an understanding of what is under the surface of a machine learning output, assist in properly interrogating a model, and collaborate with data scientists and others in an organisation to accelerate machine learning adoption and utilisation. As businesses become more customer-focused, digital financial knowledge and skills are critical components of the technology transition.
What you’ll discover
- An overview of Python.
- Data analysis with Python, covering how to load data from various sources
- Using Python to develop macros that can be run at the push of a button to automate Excel workflows
- How to effectively examine a model and collaborate with data scientists and others in an organisation to encourage Machine Learning adoption and use
- Learn how a machine learning model works and how it relates to data science, big data, and artificial intelligence.
- Use real-world machine learning examples to achieve practical goals including model evaluation and improvement, as well as error identification and correction.
Duration: Estimated 5 weeks
17. Analyzing Data with Python By edX:
This course will teach you how to analyse data in Python using multidimensional arrays in NumPy, DataFrames in pandas, the SciPy library of mathematical methods, and machine learning!
Through lectures, hands-on labs, and assignments, you will progress from learning the fundamentals of Python to examining a wide range of data types. You’ll learn how to prepare data for the study, conduct simple statistical analyses, generate meaningful data visualisations, forecast future trends from data, and much more!
What you’ll discover:
- Importing data sets, cleaning and preparing data for analysis, summarising data, and creating data pipelines
- To work with various datasets, use Pandas DataFrames, Numpy multidimensional arrays, and SciPy packages.
- With pandas, an open-source library, you can load, manipulate, analyse, and visualise datasets.
- With scikit-learn, another open-source framework, you can create machine-learning models and make predictions.
Duration: Estimated 5 weeks
18. Python for Data Science By edX:
This course, which is part of the Data Science MicroMasters programme, will expose you to a set of sophisticated, open-source tools for data analysis and data science.
After finishing this course, you will be able to uncover answers inside enormous datasets and use Python tools to import data, examine it, analyse it, learn from it, display it, and make easily shareable reports. By acquiring these abilities, you will also become a member of a global community dedicated to the development of data science tools.
You will discover:
- The fundamentals of data science
- Notebooks in Python and Jupyter
- An understanding of how to modify and interpret uncurated datasets in practice
- Methods for basic statistical analysis and machine learning
- How to Visualize Results Effectively
Duration: Estimated 10 weeks
19. Introduction to Python Programming By Udacity:
This course will teach you the fundamentals of the Python programming language as well as programming best practices. You’ll learn how to utilise Python data types and variables to represent and store data, as well as conditionals and loops to control the flow of your applications.
You will use complicated data structures such as lists, sets, dictionaries, and tuples to store collections of related data. You will define and document your own custom functions, as well as write scripts and manage problems. Finally, you’ll discover and employ modules from the Python Standard Library and other third-party libraries.
This course includes:
- Rich Learning Content
- Interactive QuizzesInteractive Quizzes
- Taught by Industry ProsTaught by Industry Pros
- Self-Paced LearningSelf-Paced Learning
Duration: Approx. 5 Weeks
20. Probability and Statistics in Data Science using Python By edX:
This course, which is part of the Data Science MicroMasters programme, will teach you the fundamentals of probability and statistics. You will learn mathematical theory as well as gain hands-on experience applying this theory to real-world data using Jupyter notebooks.
You will explore statistical and probabilistic ways by understanding and gaining insights from data using Python.
Duration: Estimated 10 weeks
Conclusion: We hope you enjoyed this article post about the best free Python courses that’ll help you to boost your career. With the help of this list, we hope you’ll be able to identify courses that are relevant to your career from the thousands of courses available.😄👍
