Python courses

702 Courses

Math for Machine Learning with Python

Embark on your journey into the realms of machine learning and artificial intelligence without fear of the mathematical hurdles. Whether you're intimidated by terms like "algebra" and "calculus" or it’s been a while since your last math class, our course, "Math for Machine Learning with Python," is here to ease your worries. Machine learning and A.
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 6-8 hours a week
sessions On-Demand

Introduction to Data Science and scikit-learn in Python

Title: Introduction to Data Science and scikit-learn in Python Description: Dive into the dynamic field of data science with our comprehensive Python course! Designed for beginners and intermediate learners, this course will equip you with the skills to harness Python and artificial intelligence effectively. Starting from the basics, you will learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 14 hours
sessions On-Demand

Python for Beginners: Complete Python Programming

Python for Beginners: Complete Python Programming - Unlock the world of coding with our beginner-friendly course on Udemy. Delve into the essentials of Python, one of the most popular programming languages globally. Ideal for newcomers, this course lays the foundational skills necessary to embark on your journey in Python programming. Enroll now an.
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provider Udemy
pricing Paid Course
duration 3 hours 11 minutes
sessions On-Demand

Robotic process and intelligent automation for finance

Discover the transformative powers of robotic process automation and intelligent automation in the financial sector with our comprehensive online course provided by edX. Aimed at accountancy, finance, and business professionals, whether employed in small businesses, large corporations, financial services, or simply interested in harnessing new tech.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 3-4 hours a week
sessions On-Demand

Data Science on Microsoft Azure: Big Data, Python and R Programming

Data science serves as a pivotal tool for deriving valuable knowledge and insights to address significant business challenges. This extensive professional certificate program, offered by CloudSwyft—one of Asia's rapidly evolving technology education and labs platforms—equips you with vital data science competencies, highly sought after in today’s p.
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provider FutureLearn  Program
pricing Paid Course
duration 22 weeks, 5 hours a week

Meta Back-End Developer

Enroll in the Meta Back-End Developer Certificate Program Unlock your potential in the tech industry with the Meta Back-End Developer Professional Certificate, delivered by Coursera. Crafted by the technology gurus at Meta, the brains behind global platforms like Facebook and Instagram, this program is your gateway to an entry-level career in back-.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 35 weeks, 6 hours a week

Data Science Core

Important Announcement: The 'Data Science Core' Professional Certificate program on edX will be discontinued after June 30, 2020. Enroll and complete your courses by this date to obtain your certificate. Are you looking to dive into one of today's most in-demand fields? The 'Data Science Core' Professional Certificate program offers comprehensive t.
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provider edX  Professional Certificate
pricing Paid Course
duration 18 weeks, 4-5 hours a week

Python For Beginners

Join our "Python for Beginners" course, tailor-made for enthusiasts diving into the realms of Data Science, AI, ML, DL, and more. This introductory program, available on Udemy, focuses exclusively on the fundamentals of Python, setting a strong foundation for future exploration in various tech fields. Ideal for beginners, this course serves as a st.
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provider Udemy
pricing Free Online Course
duration 3 hours 55 minutes
sessions On-Demand

Applied Software Engineering Fundamentals

Title: Applied Software Engineering Fundamentals Description: Jumpstart your journey into the thriving field of software development with the Software Engineering Foundations Specialization, offered by Coursera. Tailored for beginners, this program requires no prior experience with programming or app development. With software developers earning a.
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provider Coursera  Specialization
pricing Paid Course
duration 26 weeks, 3 hours a week

Data Science, Machine Learning, Data Analysis, Python & R

Join our FREE Course on Data Science, Machine Learning, Data Analysis, and Data Visualization using the popular programming languages Python and R. Offered by Udemy, this course is perfect for beginners and seasoned professionals keen to enhance their skills in data handling and analytics. Explore essential topics in Python Courses, Machine Learnin.
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provider Udemy
pricing Free Online Course
duration 8 hours 7 minutes
sessions On-Demand

Your speed of mastering the profession and success in this matter largely depends on which programming language you start learning first. How to choose it? Let's answer using a python ai course as an example.

What criteria should you use to choose your first language?

For learning to progress quickly, the programming language must have a simple syntax. It is desirable that it be high-level and flexible - then you can experiment with different options for solving the same problem.

Of course, it cannot be said that the choice of the first language always determines how successful the student’s future career path will be. But it can have a powerful impact on professional development as well as self-learning skills.

Even if we talk about spoken languages, you’ve probably heard the statement that the language a person speaks determines his thinking: “the number of languages you know, the number of times you are human.” This statement is also relevant for programming. Note that this skill is often described as an effective tool for developing thinking that teaches people to solve problems well.

When choosing the first language, the following criteria are also taken into account:

It’s difficult to name an ideal programming language to learn as a first language, but Python definitely meets most of the listed criteria, which means it can be safely recommended to beginners.

Scope of Python

Scripting languages are rapidly gaining popularity these days. They are already used to write software even more often than traditional system ones. Python is compatible with all major operating systems and platforms. You will learn this information at a python course. It is actively used in science, web development, Machine Learning, game creation, complex visual effects, and more.

Community, technical documentation

The Python language has gathered a large community of developers from all over the world who are engaged not only in its study, but also in its development. The documentation base related to Python is extensive and well-developed, so even a beginner will not have much difficulty finding answers to almost all questions that arise. He also has enough standard libraries for all occasions, and there are even more open-source repositories.

Simplicity

Because Python has a simple syntax, its code is easy to read and understand. Statements are terminated by the end of the line, and the block structure is determined by indentation.

Among the features of Python, it is worth highlighting the use of indentations that delimit blocks of code. Correct formatting is ensured by the interpreter, which prevents the creation of unreadable code. So if in other programming languages indentation is a “handwriting” and an art, then in Python it is one of the components of the syntax.

Python Strengths and Weaknesses

We have already noted above some of the advantages of a python certification course, now we propose to compare them with the disadvantages in order to objectively evaluate the language as the first one to learn.

Pluses

  1. Easy to learn.

  2. Laconic.

  3. Easy and understandable syntax.

  4. Interpretability.

  5. Wide scope of use.

  6. Demand.

  7. Dynamic typing.

  8. A large number of libraries.

  9. Lots of technical documentation and training materials.

  10. Cross-platform.

Minuses

  1. Slow program execution speed: Because dynamically typed languages execute code line by line, this makes it difficult to develop software that requires high performance. However, the programmer's productivity increases, which can be considered a kind of compensation.

  2. Programs written in Python require a lot of memory.

  3. Because there is no check during compilation, errors sometimes occur when executing the code. Because of this, very high-quality testing is required before production launch.

Conclusion

Python is a clear, easy-to-learn, universal, in-demand and promising language. Despite the presence of certain disadvantages, its advantages significantly outweigh all the disadvantages, especially when it comes to novice programmers. That's why a python online course from AI Eeducation is a great choice to start your IT career!