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Python courses

702 Courses

California Institute of Technology Coursera

Foundations of AI and Machine Learning

Foundations of AI and Machine Learning Course - Coursera Enroll in the Foundations of AI and Machine Learning course on Coursera, designed to offer a deep dive into the essential components of AI & ML infrastructure. This comprehensive program covers key aspects such as data pipelines, model development frameworks, and deployment platforms, e.
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California Institute of Technology Udemy

Data Engineer/Data Scientist - Power BI/ Python/ ETL/SSIS

Enroll in our "Data Engineer/Data Scientist - Power BI/ Python/ ETL/SSIS" course on Udemy, designed to equip you with the essential skills in data interaction and manipulation. This course offers in-depth training using powerful tools such as Power BI, Python, ETL, and SSIS, crucial for anyone aspiring to excel in data engineering and science.
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California Institute of Technology Udemy

Módulo Data Analytics, Business Intelligence y Visualización

Adéntrate en el mundo de los datos con el curso "Módulo Data Analytics, Business Intelligence y Visualización" ofrecido por Udemy. Este curso está diseñado para guiarte a través de un proyecto de datos completo, desde la captura inicial hasta la extracción de valiosos conocimientos y su visualización efectiva en la nube. A lo largo del curso,.
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California Institute of Technology Udemy

Time Series Analysis and Forecasting using Python

Udemy - Enhance your skills with our expert-led course on Time Series Analysis and Forecasting using Python. Dive deep into essential topics such as Time Data Visualization, AutoRegression (AR), Moving Average (MA), ARIMA models, Regression techniques, and Artificial Neural Networks (ANN). Perfect for anyone interested in Python Courses, Regress.
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California Institute of Technology Udemy

Sentiment Analysis with NLP using Python and Flask

Embark on an enlightening journey with the "Sentiment Analysis with NLP using Python and Flask" course offered by Udemy. This course encompasses the enticing domains of Sentiment Analysis and Natural Language Processing (NLP), fortified by Python and Flask, providing a hands-on project to solidify your learning. As you delve into this course,.
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California Institute of Technology Coursera

Microsoft Azure for AI and Machine Learning

This comprehensive course immerses you in Microsoft Azure's AI and Machine Learning services, offering valuable hands-on experience. Develop the skills to set up, manage, and troubleshoot Azure-based AI & ML workflows. The curriculum addresses the entire ML lifecycle in Azure, spanning from data preparation to model deployment and monitoring..
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California Institute of Technology Udemy

Deep Learning with TensorFlow (beginner to expert level)

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California Institute of Technology Udemy

TensorFlow: Machine Learning e Deep Learning com Python

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California Institute of Technology Udemy

Cluster Analysis and Unsupervised Machine Learning in Python

Enhance your data science skills with our comprehensive course on Cluster Analysis and Unsupervised Machine Learning in Python. Dive into the world of pattern recognition and data mining, mastering essential techniques such as k-means clustering, hierarchical clustering, and kernel density estimation (KDE). Whether you're looking to elevate.
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California Institute of Technology Udemy

Complete A.I. & Machine Learning, Data Science Bootcamp

Dive into the world of A.I. and machine learning through this thorough Data Science Bootcamp. Master the essentials of data analysis and machine learning using Python, TensorFlow, and Pandas. Join our course, provided by Udemy, and leverage expert insights into deep learning and data visualization. This bootcamp caters to a wide range of inte.
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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!