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Python courses

587 Courses

California Institute of Technology Udemy

Artificial Intelligence and Predictive Analysis

Embark on a journey into the fascinating realm of Artificial Intelligence (AI) and Predictive Analysis with our comprehensive course, tailored to demystify AI concepts and their practical applications. This course, offered through the renowned platform Udemy, is specifically designed for learners seeking to master AI through Python and iPython. Key.
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provider Udemy
pricing Paid Course
duration 6 hours 21 minutes
sessions On-Demand
California Institute of Technology Udemy

Artificial Intelligence and IoT: Naive Bayes

Embark on a transformative journey with our project-based course, "Artificial Intelligence and IoT: Naive Bayes," available on Udemy. This comprehensive program is meticulously designed to guide you from the fundamental concept to creating an AIoT system prototype using the Naive Bayes algorithm. Experience hands-on learning with Naive Bayes classi.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology University of Washington

Machine Learning: Clustering & Retrieval

Delve into the fascinating world of machine learning with the "Machine Learning: Clustering & Retrieval" course, offered by the esteemed University of Washington through Coursera. This course stands as a beacon for those intrigued by artificial intelligence, Python programming, and the intricacies of both supervised and unsupervised learning. Get r.
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provider Coursera
pricing Free Online Course (Audit)
duration 17 hours
sessions On-Demand
California Institute of Technology FutureLearn

Applied Artificial Intelligence: Speech Recognition Systems

Embark on a journey through the fascinating world of AI-powered voice technology with the "Applied Artificial Intelligence: Speech Recognition Systems." This comprehensive course, provided by FutureLearn, is a key module of the Advanced and Applied AI on Microsoft Azure ExpertTrack. It's specifically crafted to help you master AI and machine learni.
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provider FutureLearn
pricing Paid Course
duration 3 weeks, 5 hours a week
sessions On-Demand
California Institute of Technology Georgia Institute of Technology

Machine Learning for Trading

Discover the exciting intersection of technology and finance in the "Machine Learning for Trading" course offered by the Georgia Institute of Technology and available through Udacity. This course is tailored for individuals eager to explore the practical challenges of implementing machine-learning-based strategies in the trading world. It covers ev.
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provider Udacity
pricing Free Online Course
duration 16 weeks
sessions On-Demand
California Institute of Technology University of Michigan

Applied Machine Learning in Python

Embark on a journey into the realm of applied machine learning with Python, brought to you by the University of Michigan through Coursera. This course is tailored for learners aiming to dive deeper into the techniques and methods of machine learning, beyond the statistics that underpin these methods. It commences with a comparative analysis of mach.
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provider Coursera
pricing Free Online Course (Audit)
duration 31 hours
sessions On-Demand
California Institute of Technology Delft University of Technology

AI Skills for Engineers: Data Engineering and Data Pipelines

Explore the pivotal world of AI and embark on a journey through data engineering and data pipelines with our comprehensive course. In today's technology-driven landscape, Artificial Intelligence and Machine Learning are not just buzzwords but foundational elements propelling innovations in various fields, from sophisticated web services to revoluti.
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 5-7 hours a week
sessions On-Demand
California Institute of Technology openSAP

SAP Data Intelligence for Enterprise AI

Unlock the potential of artificial intelligence in your enterprise with the SAP Data Intelligence for Enterprise AI course offered by openSAP. This comprehensive course serves as a primer to SAP's innovative AI/data science platform, designed to address complex data landscapes, establish scalable data pipelines, and oversee the complete data scienc.
provider openSAP
pricing Free Online Course
duration 5 weeks, 4-6 hours a week
sessions On-Demand
California Institute of Technology University of Oxford

Regression Modeling in Practice

Explore the critical realm of Regression Modeling in Practice with our comprehensive course offered through Coursera by the University of Oxford. This in-depth program is designed for individuals eager to master the art of regression analysis, an indispensable tool in the arsenal of data analysis. Whether utilizing SAS or Python, participants will.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology Coursera

Predicting the Weather with Artificial Neural Networks

Embark on a fascinating journey into the future of meteorology with our exclusive online course, "Predicting the Weather with Artificial Neural Networks," offered through Coursera. Over the span of an hour-long, project-based learning experience, participants will dive deep into a real-world challenge by utilizing a comprehensive dataset provided b.
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provider Coursera
pricing Paid Course
duration 1-2 hours
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!