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Python courses

587 Courses

California Institute of Technology University of Naples Federico II

Data Visualization with Python

In today's data-driven world, the ability to create compelling visualizations and tell impactful stories with data is a crucial skill. This comprehensive course will guide you through the process of visualization using coding tools with Python, spreadsheets, and BI (Business Intelligence) tooling. Whether you are a data analyst, a business professi.
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provider Coursera
pricing Free Online Course (Audit)
duration 9-10 hours
sessions On-Demand
California Institute of Technology University of Florida

Big Data for Agri-Food: Principles and Tools

Unlock the power of big data in the agri-food sector with our comprehensive course, Big Data for Agri-Food: Principles and Tools. Delve into the complexities of modern big data technologies and lay the groundwork for understanding how principles like immutability and pure functions facilitate parallel data processing. This essential knowledge is cr.
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 6-10 hours a week
sessions On-Demand
California Institute of Technology edX

Scripting with Python

Discover how to leverage Python, one of the most powerful and widely-used programming languages, for automating tedious tasks and processing data efficiently. Whether you're aiming to improve job performance by automating routines like updating Excel spreadsheets or mining data from web pages, or you're seeking to break into burgeoning fields like.
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provider edX
pricing Free Online Course (Audit)
duration 16 weeks, 8-10 hours a week
sessions On-Demand
California Institute of Technology Coursera

Supervised Machine Learning: Regression and Classification

Embark on your journey into the world of artificial intelligence with the Machine Learning Specialization, a comprehensive online program designed to introduce you to the fundamentals of machine learning. This beginner-friendly specialization, a collaboration between DeepLearning.AI and Stanford Online, is expertly taught by AI pioneer Andrew Ng. D.
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provider Coursera
pricing Free Online Course (Audit)
duration 33 hours
sessions On-Demand
California Institute of Technology University of Colorado Boulder

Rapid Prototyping of Embedded Interface Designs

Explore the dynamic field of embedded systems with the "Rapid Prototyping of Embedded Interface Designs" course, available for academic credit as ECEA 5347, a crucial part of the Master of Science in Electrical Engineering degree at the University of Colorado Boulder. This course, offered through Coursera, is the second installment in the Embedded.
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provider Coursera
pricing Free Online Course (Audit)
duration 10 hours
sessions On-Demand
California Institute of Technology University of Naples Federico II

MLOps | Machine Learning Operations

Embark on a comprehensive journey into the world of Machine Learning Operations (MLOps) with our specialized course series, tailored for individuals possessing programming expertise. Ideal for software developers, data scientists, and researchers, this series dives deep into essential MLOps skills. Master the use of programming languages like Pytho.
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provider Coursera  Specialization
pricing Paid Course
duration 26 weeks, 5 hours a week
California Institute of Technology Skillshare

Python for Everybody

Welcome to Python for Everybody, the ultimate course aimed at beginners, intermediate, and advanced developers seeking to master Python. As the third most popular programming language globally, Python's versatility spans across Data Science, Machine Learning, Artificial Intelligence, Web Development, Video Games, and beyond, making it an essential.
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provider Skillshare
pricing Free Trial Available
duration 9 hours
sessions On-Demand
California Institute of Technology University of Colorado Boulder

Data Analysis with Python Project

The "Data Analysis with Python Project" course offered by the University of Colorado Boulder and available on Coursera is a comprehensive program designed to empower students by applying the knowledge and skills acquired through this specialization. In this course, participants will be taken on an insightful journey starting from raw data processin.
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provider Coursera
pricing Free Online Course (Audit)
duration 18 hours
sessions On-Demand
California Institute of Technology edX

Data Engineering Capstone Project

In the Data Engineering Capstone Project, participants will embark on a comprehensive journey, showcasing their expertise akin to that of a Professional Data Engineer. The core challenge lies in architecting, executing, and overseeing an integrated data analytics framework. This includes the development and management of both relational and non-rel.
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology Coursera  Professional Certificate

IBM Data Engineering

Launch your career in the thriving field of data engineering with IBM's comprehensive program offered through Coursera. This professional certificate program equips you with essential skills, including Python, SQL, databases, and more, to ensure you're job-ready in under five months. Data engineering involves creating systems for collecting, proces.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 65 weeks, 4 hours a week

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!