9 BEST Python Courses Online for Beginners (2025)

By : Anna Blake Anna Blake
Hours Updated

Best Python Courses

Python has become one of the most sought-after programming languages in the tech world. A Python course can open doors to various career opportunities, from AI to data science. The following best online Python courses will equip you with the knowledge to excel in programming and tackle real-world problems. I have reviewed top courses to provide you with accurate, trustworthy insights. With the growing demand for Python skills, it’s time to invest in your future. Stay ahead with the latest trends in Python programming.

After spending over 100 hours testing and reviewing more than 40+ online Python courses, I can confidently say that selecting the right one for your needs is crucial. This comprehensive, unbiased guide provides you with a well-researched list of the best Python courses, highlighting their features, pros and cons, and pricing. Whether you are looking for free or paid options, these exclusive, trusted recommendations are tested thoroughly to ensure you get the best value for your time. Read more…

Best Online Python Courses & Classes with Certificate

Course Name Duration Provider Fee Level Certification Key Topics Link
👍 Applied Data Science with Python Specialization 3 weeks Coursera Free Expert Yes Applied Data Science with Python Learn More
Introduction to Python Programming 5 hours Coursera Free Beginner Yes Core programming concepts Learn More
Python for Everybody Specialization 2 weeks Coursera FREE Beginner Yes Basics of the Python programming language Learn More
Python 3 Programming Specialization 2 weeks Coursera FREE Beginner Yes Python 3 basics Learn More
Crash Course on Python 7 hours Coursera FREE Beginner Yes Basic Python structures, Python objects Learn More

Best Python Courses Online

1) Applied Data Science with Python Specialization (Coursera)

Specs: Rating: 4.5 | Duration: 3 Weeks | Certificate: Yes | Level: Intermediate

Applied Data Science with Python Specialization is perfect for learners who are comfortable with Python and want to explore advanced data science concepts. I tested the modules, and I particularly liked how it integrates machine learning with practical Python tools. The hands-on projects helped me apply what I learned immediately, which is essential for mastering these concepts. I would recommend this course to anyone looking to grow their Python skills into real-world data science solutions.

Applied Data Science with Python Specialization

It is a course designed for those looking to sharpen their Python skills. It offers flexibility with a self-paced learning option, which is great for managing your schedule. The course includes subtitles in English, French, and Korean making it accessible globally. There are engaging programming assignments and quizzes that provide instant feedback, which I found useful during my own learning. I recommend dedicating some time to the peer feedback assignments as they offer valuable insights and help solidify your understanding. However, I suggest having a solid grasp of Python before starting to make the most out of this course.

What will you learn?

  • Mastering Inferential Statistics: You will learn the fundamentals of inferential statistics, which allows you to make inferences about populations based on sample data. This skill helps you test hypotheses, estimate data properties, and draw conclusions, providing a great way to make data-driven decisions for your analysis and research.
  • Data Visualization Techniques: You will learn how to choose the most suitable data visualization methods based on your specific needs. Effective visualization plays a key role in communicating data insights clearly, and selecting the right approach can significantly enhance clarity and decision-making in your analysis.
  • Data Analysis with Machine Learning: I found that learning machine learning for data analysis can help uncover hidden patterns and predict future trends. These techniques will allow you to process and analyze large datasets more effectively, providing valuable insights that can be used for better decision-making and automation.
  • Exploring Social Network Connectivity: You will learn how graph theory helps you explore and understand connections within social networks. This approach allows you to analyze the relationships between entities, uncover hidden patterns, and better understand complex systems like social media, networks, and organizations.
  • Graph Theory in Practice: Graph theory is a perfect method to visualize and study the relationships between various components in a system. This approach helps you analyze networks and interactions, making it particularly useful for examining social media platforms, transportation systems, or even the internet itself.

Pricing:

Enroll for free

How to Enroll in the Applied Data Science with Python Specialization Certificate?

  • Step 1) Head over to the Applied Data Science with Python Specialization course page on Coursera.
  • Step 2) Tap the “Enroll for Free” button and create an account with your email.
  • Step 3) Dive into the course by starting your learning experience with the Applied Data Science with Python Specialization content.

Enroll Now >>

2) Introduction to Python Programming (Coursera)

Specs: Duration: 5 Hours | Certificate: Yes | Level: Beginner

Introduction to Python Programming (Coursera) is a great way to kickstart your coding journey. As I went through the course, I could access various lessons that helped me grasp core programming concepts quickly. What stood out to me was the comprehensive nature of the material, which dives deep into topics like writing custom functions and using data structures. I personally recommend this course to anyone just starting out with Python because it makes learning straightforward and highly engaging. It’s a great way to set a strong foundation and gain practical experience that’s essential for more complex projects down the line.

Introduction to Python Programming

It offers an ideal learning path for beginners looking to dive into Python. With approximately 28 hours of flexible learning, I found it easy to progress at my own pace, making it manageable even for those with busy schedules. The course includes 13 assignments that test your understanding and help you solidify your skills. I suggest taking your time on each assignment, as they help to reinforce key concepts that are essential for building a solid foundation in Python. Once completed, you can earn a shareable certificate, adding a valuable credential to your profile for future opportunities.

What will you learn?

  • Data Types and Operators: Understanding data types and operators in Python allows you to manipulate and perform operations on various types of data, which is essential for writing effective code. I found it to be crucial in preventing bugs in more complex programming tasks. Mastering this concept helps you handle different data more efficiently, making your programs more reliable.
  • Learn About Control Flow: Control flow in Python determines the execution order of code. By mastering constructs like loops and conditionals, you can direct the flow of your program’s execution. It’s great for creating more interactive and user-responsive applications. This allows you to make decisions and repeat actions, increasing the versatility of your code.
  • Working with Functions: Functions are the building blocks of Python programs, helping you organize code, eliminate redundancy, and improve readability. I found that breaking down tasks into functions improved the structure and efficiency of my Python projects. They allow you to modularize your code, making it easier to maintain and debug.
  • Install Python 3: Installing Python and setting up an environment ensures that you are working with the correct version of Python and avoid compatibility issues. The best way to get started is to download Python 3 and set up your environment properly. This step is essential in creating a stable foundation for coding in Python.
  • Write and Run Sample Python Programs: Writing and running a simple Python program through the Python interpreter is a great way to get hands-on experience. This allows you to see immediate results, which can help you debug your code faster. Once I started running my first few programs, it became much easier to troubleshoot and learn from my mistakes.

Pricing:

Enroll for free

How to Enroll in the Introduction to Python Programming Course?

  • Step 1) Head over to the Introduction to Python Programming course page on Coursera.
  • Step 2) Tap the “Enroll for Free” button and create an account with your email.
  • Step 3) Dive into the course by starting your learning experience with the Introduction to Python Programming content.

Enroll Now >>

3) Python for Everybody Specialization (Coursera)

Specs: Rating: 4.8 | Duration: Approx. 2 weeks | Certificate: Yes | Level: Beginner

Python for Everybody Specialization (Coursera) helped me build a strong foundation in programming using Python. I found that the course not only covers the basics of programming but also teaches you how to apply your knowledge to real-world scenarios, like working with networked applications and processing data. The capstone project was particularly helpful in allowing me to integrate everything I learned into a functional Python application. I would recommend this course to anyone who wants a practical and easy-to-understand way to start coding with Python.

Python for Everybody Specialization

It offers a fully online learning experience with a flexible schedule. I enjoyed the self-paced learning option, which allowed me to fit the course into my busy routine. The course features videos, readings, and assignments with peer feedback, which kept me engaged. I recommend taking advantage of the graded quizzes, as they provide immediate feedback and help reinforce concepts. Additionally, there are programming assignments that give hands-on experience, and the course is available in multiple languages, making it accessible to a wider audience.

What will you learn?

  • Python Installation Basics: Installing Python and writing your first program is an essential step toward becoming proficient in the language. I realized that starting small with basic programs allows you to understand the syntax and flow of Python. It is one of the easiest ways to get started with programming.
  • Understanding Python Syntax: Grasping Python’s basic syntax and structure is essential for anyone beginning their programming journey. After learning the fundamentals, I was able to create my own programs with ease. These concepts are necessary for learning advanced topics in Python and other languages.
  • Working with Variables in Python: Variables are crucial in storing, retrieving, and calculating data effectively. I found understanding the role of variables essential in creating functional programs. By using variables, I could easily manage data and manipulate it to achieve desired results.
  • Utilizing Functions and Loops: Functions and loops are indispensable tools in Python programming. I discovered that they allow me to structure code more logically and automate repetitive tasks. They’re great for increasing efficiency in code, and mastering them is essential for anyone learning Python.
  • Data Handling with Python: Python’s data processing capabilities are robust, making it a go-to tool for anyone working with data. I found the use of libraries like pandas to be a great way to clean and analyze data. It’s an essential skill for anyone looking to work with large datasets in real-world projects.

Pricing:

Enroll for free

How to Enroll in the Python for Everybody Specialization Certificate?

  • Step 1) Head over to the Python for Everybody Specialization course page on Coursera.
  • Step 2) Tap the “Enroll for Free” button and create an account with your email.
  • Step 3) Dive into the course by starting your learning experience with the Python for Everybody Specialization content.

Enroll Now >>

4) Python 3 Programming Specialization (Coursera)

Specs: Duration: Approx. 2 Weeks | Fee: Free | Certificate: Yes | Level: Beginner

Python 3 Programming Specialization (Coursera) is one of the best ways to get a firm grasp of Python programming. During my review process, I found the course to be exceptionally clear and structured. The basics, such as variables and loops, are introduced with simplicity, and then you gradually move to more complex topics like lambda expressions and object-oriented programming. It helped me improve my debugging skills and made it easier to work with new modules and APIs. This course is great for learners who want to go beyond the fundamentals of programming and start applying their knowledge practically.

Python 3 Programming Specialization

It Offers a highly flexible approach for beginners. The self-paced learning option allows you to learn at your own speed while enjoying a blend of video lectures and reading materials. I particularly appreciate the practice quizzes and programming assignments with feedback, which helped me improve my skills quickly. You will find the graded quizzes especially useful as they provide valuable insights into your progress, making it easier to identify areas for improvement.

What will you learn?

  • Leveraging APIs and Libraries in Python: Python 3 supports a wide range of third-party libraries and APIs that can be integrated into your projects. I learned that incorporating these tools expanded the functionality of my Python programs, allowing me to add features quickly and easily. It is best to use these libraries to enhance your coding workflow.
  • Image Processing with Pillow: Pillow makes it easy to handle image files in Python, from opening and viewing to advanced editing. I found that learning how to use Pillow was essential for my projects that required image manipulation. It is one of the best libraries to use for anyone working with images in Python.
  • Tesseract OCR with Python: The Tesseract library allows you to extract text from images using Optical Character Recognition (OCR). I found Tesseract helpful for automating text extraction, especially when working with large volumes of scanned documents. This is one of the most effective tools for anyone looking to incorporate OCR into their Python projects.
  • Processing Faces with Contact Sheets: Using contact sheets, you can crop and manipulate faces within images using Python. I found this technique useful for managing large datasets of facial images. This method is great for projects involving face recognition or photo management at scale.

Pricing:

Enroll for free

How to Enroll in the Python 3 Programming Specialization Certificate?

  • Step 1) Head over to the Python 3 Programming Specialization course page on Coursera.
  • Step 2) Tap the “Enroll for Free” button and create an account with your email.
  • Step 3) Dive into the course by starting your learning experience with the Python 3 Programming Specialization content.

Enroll Now >>

5) Crash Course on Python (Coursera)

Specs: Rating: 4.8 | Duration: 7h | Fee: Free | Certificate: Yes | Level: Advanced

I reviewed Crash Course on Python (Coursera), and I found it to be an excellent resource for beginners aiming to write efficient and effective scripts. The course introduces you to Python’s core concepts, from basic syntax to more advanced topics like generators and objects. I particularly liked how it focuses on hands-on experience, offering real-world examples and interactive exercises. This course helped me understand how to combine various programming structures to solve complex problems, making it a perfect fit for those new to coding.

Crash Course on Python

What will you learn?

  • Data Types and Values in Python: Python provides several data types, including strings, integers, and lists. I found learning how to manipulate these data types was crucial for solving problems and building functional programs. Understanding how values are stored and processed is key to mastering Python programming.
  • Using Conditionals and Operators: Conditionals and operators are central to controlling the flow of Python programs. I realized that by using if-else statements and operators like and, or, and not, I could create programs that made decisions based on different conditions. This is the best way to add logic to your code.
  • Function Definition in Python: Functions are blocks of reusable code that perform specific tasks. I found that by defining functions in my Python code, I could organize tasks and make my code more efficient and readable. It is one of the most effective ways to manage complex programs.
  • Object-Oriented Programming with Classes: Python’s object-oriented features allow you to group related functionality into classes. I discovered that using classes helped me write more organized and maintainable code. This is a crucial concept for anyone working on larger, more complex Python projects.
  • Error Handling in Python: Exception handling allows you to manage errors and prevent crashes in your programs. I found that using try-except blocks to handle exceptions kept my programs running smoothly, even when unexpected issues occurred. It’s essential for making Python programs robust and user-friendly.

Pricing:

Enroll for free

How to Enroll in the Crash Course on Python by Google?

  • Step 1) Head over to the Crash Course on Python by Google course page on Coursera.
  • Step 2) Tap the “Enroll for Free” button and create an account with your email.
  • Step 3) Dive into the course by starting your learning experience with the Crash Course on Python by Google content.

Enroll Now >>

6) Complete Python Bootcamp From Zero to Hero in Python (Udemy)

Specs: Rating: 4.6 | Duration: 22 hours on-demand video | Certificate: Yes | Level: Beginner

I was able to appreciate how Complete Python Bootcamp From Zero to Hero in Python (Udemy) simplifies learning Python. With over 100 lectures and coding challenges, it helps you gain practical experience while building a Python project portfolio. The course’s approach to teaching Python is straightforward and beginner-friendly, making it an excellent choice for those with no prior programming knowledge. This course allowed me to not only learn Python but also work on real-world tasks, such as web scraping and reading Excel files, which are highly useful in today’s job market.

Complete Python Bootcamp From Zero to Hero in Python

Provides a comprehensive learning experience with 14 well-structured articles and 19 coding exercises that keep the content engaging. I found the ability to access the course on mobile and TV incredibly convenient for learning on the go. While using this feature, I noticed how helpful it was to switch between devices, allowing me to continue without missing a beat. The course also offers full lifetime access and a certificate of completion, which adds value to your learning journey. Plus, there’s no prerequisite, making it an excellent starting point for anyone new to Python.

What will you learn?

  • Creating Games with Python: Developing games like Tic Tac Toe and Blackjack allows you to apply Python concepts in an entertaining way. Through these projects, you will learn essential skills such as handling user input, implementing game logic, and using control flow to structure your program. I found that building games helped me practice basic Python functions and improve problem-solving abilities.
  • Advanced Python Features: Python’s advanced features, such as the collections module, provide specialized data structures that help manage complex data more efficiently. Learning to use tools like namedtuples, defaultdict, and Counter will allow you to solve real-world programming problems with less code and greater flexibility. These features are a great way to streamline your code and improve performance.
  • Creating GUIs in Jupyter Notebook: Learning to create graphical user interfaces (GUIs) within Jupyter Notebooks enables you to design Python applications that are interactive and easy to use. GUIs add elements like buttons, text fields, and menus to your programs, creating a better experience for users. I found that working with GUIs within Jupyter Notebook helped me visually organize my code and engage with it more intuitively.
  • Understanding Python from the Ground Up: Starting from the basics, understanding Python’s syntax, data types, and control structures will give you a solid foundation in programming. This is the easiest way to learn Python and ensure that you have the essential knowledge needed to progress to more complex topics. In order to be comfortable with Python, I found that mastering these foundational elements was crucial.
  • Object-Oriented Programming (OOP): Object-Oriented Programming with classes is a powerful way to structure Python code. By creating classes and objects, you can design reusable and maintainable software, which is essential for larger projects. It helps you organize your code in a way that reflects real-world concepts and enhances modularity and scalability in your programs.

Pricing:

$6.07 for a course

How to Enroll in the Complete Python Bootcamp Course?

  • Step 1) Head over to the Complete Python Bootcamp course page on Udemy.
  • Step 2) Tap the “Enroll Now” button and create an account with your email.
  • Step 3) Dive into the course by starting your learning experience with the Complete Python Bootcamp content.

Enroll Now >>

7) Learn Python Programming Masterclass (Udemy)

Specs: Rating: 4.7 | Duration: 61 hours on-demand video | Certificate: Yes | Level: Advanced

Learn Python Programming Masterclass (Udemy) is a top-rated choice for absolute beginners eager to get a grasp of Python. I was able to test out the course and found that it breaks down complex Python concepts into manageable sections. Whether it’s understanding Python syntax or diving into object-oriented programming, this course ensures you don’t miss any critical areas. In my opinion, this is a perfect starting point if you’re looking to transition into a tech career. The course content is up-to-date, and I particularly appreciate the inclusion of practical exercises that make learning Python engaging and rewarding.

Learn Python Programming Masterclass

Offers a comprehensive set of learning materials, including 16 detailed articles, 14 downloadable resources, and over 25 coding exercises. These features make it perfect for beginners with no prior programming experience. I’ve found the lifetime access particularly helpful, as it lets you revisit the content whenever you need. I recommend utilizing the mobile and TV access options, which make it easy to learn on the go, no matter where you are.

What will you learn?

  • Python Core Concepts: To be successful with Python, it’s essential to grasp the basic concepts like variables, loops, and data types. I found these foundational concepts crucial in forming the building blocks of my Python projects. Once I understood them, I could move on to more complex aspects of the language.
  • Python’s Object-Oriented Features: Object-Oriented Programming (OOP) in Python helps you write code that is modular, reusable, and easier to maintain. I learned that Python’s class-based structure allows for code organization in a way that’s ideal for building large and complex applications. This may help you structure your code more efficiently.
  • Building Python Projects: Creating Python programs allows you to put your learning into practice and solve real-world problems. I found starting with simple programs and gradually tackling more challenging projects was a great way to learn. It’s the best way to gain confidence in your coding abilities.
  • Compatibility Between Python Versions: Understanding both Python 2 and 3 is crucial for ensuring your code is compatible across various environments. I found that being aware of the differences between the two versions helped me avoid common pitfalls when maintaining older code. It is helpful to know how Python 2’s syntax differs from Python 3.

Pricing:

$9.11 for a course

How to Enroll in the Python Programming Masterclass Course?

  • Step 1) Head over to the Python Programming Masterclass Course page on Udemy.
  • Step 2) Tap the “Enroll Now” button and create an account with your email.
  • Step 3) Dive into the course by starting your learning experience with the Python The Complete Python Developer content.

Enroll Now >>

8) Python for Data Science and Machine Learning Bootcamp (Udemy)

Specs: Rating: 4.6 | Duration: 25 hours on-demand video | Certificate: Yes | Level: Expert

Python for Data Science and Machine Learning Bootcamp (Udemy) is a top-rated course that helps you understand the power of Python in the world of data science. During my research, I found the course to be highly practical, with a strong focus on applying machine learning algorithms. It offered me everything I needed to learn how to analyze data and make predictions using Python. I recommend this course because it gives you all the tools to get started in data science and machine learning with real-life applications.

Python for Data Science and Machine Learning Bootcamp

It provides a solid foundation for beginners, with 13 informative articles and 5 downloadable resources. I’ve found the full lifetime access feature especially helpful for revisiting complex topics as needed. The mobile and TV access options make it easy to learn anywhere. The certificate you receive at the end adds great value and can be a helpful credential for job seekers.

What will you learn?

  • Python for Data Science and Machine Learning: Python provides the tools and libraries needed to perform advanced data analysis and machine learning. I found Python’s flexibility to be essential in both data analysis and building machine learning models, making it a perfect language for anyone wanting to explore these fields.
  • Big Data with Spark: Spark is an excellent tool for processing and analyzing large datasets quickly. I found Spark’s ability to perform real-time data processing extremely valuable for big data applications. It is one of the best solutions for those dealing with large volumes of data.
  • Working with Essential Data Science Libraries: NumPy, Pandas, Matplotlib, and Seaborn are great for handling data and creating insightful visualizations. I found that these libraries helped me manage datasets and generate clear visual representations of data trends. They are essential for anyone working with data in Python.
  • Machine Learning with SciKit-Learn: SciKit-Learn is one of the easiest libraries to implement machine learning algorithms in Python. I found it helpful in applying various machine learning techniques and understanding their outputs. It’s a top pick for anyone starting their machine learning journey.
  • Implementing Algorithms in Python: By using algorithms like support vector machines, decision trees, and Naive Bayes, you can build powerful machine learning models. I found these algorithms essential for developing predictive models that addressed real-world challenges. They are a great way to begin learning about machine learning.

Pricing:

$9.11 for a course

How to Enroll in the Python for Data Science and Machine Learning Bootcamp?

  • Step 1) Head over to the Python for Data Science and Machine Learning Bootcamp course page on Udemy.
  • Step 2) Tap the “Enroll Now” button and create an account with your email.
  • Step 3) Dive into the course by starting your learning experience with the Python for Data Science and Machine Learning Bootcamp content.

Enroll Now >>

9) The Python Bible | Everything You Need to Program in Python (Udemy)

Specs: Rating: 4.6 | Duration: 9 hours on-demand video | Certificate: Yes | Level: Beginner

The Python Bible has been my go-to recommendation for those starting out with Python. I was able to gain a solid understanding of programming fundamentals in just 9 hours. The course does an excellent job of explaining each concept with clarity, offering practical exercises that helped me grasp the material quickly. I particularly appreciate how the course teaches Python through fun and engaging projects, which made my learning experience enjoyable and memorable. It’s one of the best Python courses for beginners, and I highly suggest giving it a try.

The Python Bible | Everything You Need to Program in Python

The Python Bible | Everything You Need to Program in Python (Udemy) is an excellent course for complete programming beginners. It provides 4 informative articles and 3 downloadable resources to help you learn at your own pace. I’ve found the 11 coding exercises to be a great way to reinforce what you’ve learned. I suggest taking advantage of the lifetime access to revisit materials and track your progress over time. The option to access the course on mobile and TV also makes it easy to learn wherever you are.

What will you learn?

  • Python Basics for Beginners: To get started with Python, it’s crucial to understand the basic structure, including syntax, variables, and functions. I realized that once I grasped these core concepts, I could quickly build functional Python programs. Mastering these basics is one of the best ways to dive into programming.
  • Python Logic and Data Structures: Understanding logic and data structures is essential for building Python programs that can make intelligent decisions. I found that using structures like lists and queues helped me solve problems more efficiently and write cleaner code. These concepts are essential for advanced Python programming.
  • Using OOP in Python: Object-Oriented Programming (OOP) is an effective way to create well-structured, scalable Python programs. I discovered that by creating classes and objects, I could break down complex problems into manageable parts and write better code. OOP is essential for anyone looking to build large applications.
  • Raw Data for Customizing User Experiences: Python allows you to process raw test data and use it to automate tasks, such as sending personalized messages. I found this feature useful for creating interactive applications that respond dynamically to user input. It’s one of the most effective ways to improve the user experience in Python programs.
  • Streamlining Code with Loops: Loops are one of the most effective tools in Python for automating repetitive tasks and improving code efficiency. I found that using loops allowed me to process data and perform tasks much faster, making my code more efficient. It’s an essential tool for any Python developer.

Pricing:

$9.11 for a course

How to Enroll in The Python Bible Course?

  • Step 1) Head over to The Python Bible course page on Udemy.
  • Step 2) Tap the “Enroll Now” button and create an account with your email.
  • Step 3) Dive into the course by starting your learning experience with The Python Bible content.

Enroll Now >>

Other Useful Programming Resources you may like to explore

What are the important Applications of Python?

Here are important applications of Python:

  • Language for AI Machine learning and deep learning
  • Rapid prototyping web scripting
  • Ad hoc programming
  • Scientific applications
  • XML processing
  • Database applications
  • Used for GUI applications

How Did We Choose Best Python Courses?

Choose Right Python Course

At Guru99, we are committed to providing credible, accurate, and relevant information. Our editorial team ensures that all content undergoes a rigorous review process to deliver reliable resources. After testing and reviewing over 45 online Python courses for more than 110 hours, we have compiled a comprehensive, unbiased guide to help you choose the best Python courses for your needs. The guide highlights each course’s features, pros and cons, and pricing, including both free and paid options. We focus on the following factors while reviewing a tool based on content quality, instructor experience, and student feedback.

  • Expert Instructors: We chose courses taught by experienced professionals to ensure high-quality instruction and industry relevance.
  • Comprehensive Curriculum: We made sure to shortlist courses with a well-structured curriculum covering basic to advanced Python concepts.
  • Student Feedback: Our team chose courses based on positive student reviews and high ratings from learners worldwide.
  • Hands-On Practice: We selected Python courses that emphasize practical exercises and projects to ensure real-world application.
  • Certification: We chose courses offering recognized certifications to add value to your learning journey and career.

What are the job prospects after learning Python?

Python has become one of the best programming languages to learn if you want to upskill your career. You will open the door for so many career options when you learn Python language courses.

  • 1) Software engineer: The job of a software engineer applies the principles of software engineering for designing, development, maintenance, testing, and evaluation of computer software with the help of Python.
  • 2) Python developer: Python developers are professionals who build software using Python, which runs across various types of computers.
  • 3) Data Scientist: A Data Scientist is a professional who manages enormous amounts of data to come up with compelling business visions by using Python and other tools and techniques.
  • 4) Data Analyst: You can also opt for a career as a data analyst, which is responsible for mining vast amounts of data. You need to look for relationships, patterns, trends in data. In this role, you are expected to deliver compelling reporting and visualization for analyzing the data to make the most viable business decisions.

Verdict:

In this review, I’ve explored some of the best Python courses available online. Each course brings unique strengths to the table, catering to various learning needs. Here’s my verdict to help you decide the right course: