Python courses

587 Courses

Artificial Neural Network for Regression

Delve into the world of Artificial Intelligence with our cutting-edge course on "Artificial Neural Network for Regression", offered through Udemy. This meticulously designed course aims to equip you with the knowledge and skills to construct an ANN Regression model to accurately predict the electrical energy output of a Combined Cycle Power Plant..
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provider Udemy
pricing Free Online Course
duration 1 hour 13 minutes
sessions On-Demand

Learn Artificial Neural Network From Scratch in Python

Embark on a comprehensive journey through the realm of artificial neural networks (ANN) with our in-depth Python course. This course is meticulously designed to provide you with the most extensive insights into neural network theory, coupled with hands-on experience in coding using Python and Numpy. What You Will Learn: How to code a neural networ.
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provider Udemy
pricing Paid Course
duration 18 hours 13 minutes
sessions On-Demand

Artificial Intelligence on Microsoft Azure: Machine Learning and Python Basics

Offered in collaboration with Microsoft, this comprehensive microcredential is designed to equip you with the foundational knowledge of AI. It prepares you to design and build AI solutions using Microsoft Azure and gears you towards the Microsoft Azure AI Engineer Associate (AI-100) certification, including exam vouchers. Dive into the dynamic fiel.
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provider FutureLearn  Program
pricing Paid Course
duration 15 weeks, 5 hours a week

Financial Engineering and Artificial Intelligence in Python

Embark on a cutting-edge journey at the intersection of finance and technology with the "Financial Engineering and Artificial Intelligence in Python" course, available on Udemy. This comprehensive program is meticulously designed for enthusiasts and professionals eager to master financial analysis, time series analysis, portfolio optimization, CAPM.
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provider Udemy
pricing Paid Course
duration 22 hours
sessions On-Demand

Artificial Intelligence Projects with Python

Dive into the world of AI with "Artificial Intelligence Projects with Python" – a Udemy offering that guides you through crafting 14 practical, hands-on projects in Machine Learning and Deep Learning. Ideal for both beginners and those looking to deepen their knowledge, you'll discover how to apply Python to real-world scenarios, mastering everythi.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand

Text Analytics 1: Introduction to Natural Language Processing

Introducing Natural Language Processing, the initial segment of the Text Analytics with Python professional certificate series, offers a deep dive into the foundational elements of natural language processing (NLP) and computational linguistics, accessible either as part of the series or a standalone course. Designed to marry the principles of data.
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 3-6 hours a week
sessions On-Demand

Business Intelligence Development Using Python

Discover the power of Python in Business Intelligence with our comprehensive course offered on Udemy. This course covers the application of Python across various Business Intelligence layers, providing you with the skills needed to analyze data, generate insightful reports, and make data-driven decisions. Ideal for professionals and students alike,.
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provider Udemy
pricing Paid Course
duration 14 hours
sessions On-Demand

Business Intelligence Development using Python 3

```html Enroll in our "Business Intelligence Development using Python 3" course on Udemy and harness the power of Python to automate and build comprehensive marketing data and user behavior pipelines. This cutting-edge course is ideal for those looking to dive deep into the realms of Business Intelligence and Python programming. Whether you're a st.
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provider Udemy
pricing Free Online Course
duration 2-3 hours
sessions On-Demand

Post Graduate Certificate in Strategic Supply Chain Management with AI

Embark on a transformative journey with the Post Graduate Certificate in Strategic Supply Chain Management with AI offered by Arizona State University, in collaboration with Coursera MasterTrack. This specialized programme is meticulously designed for supply chain practitioners, business analysts, consultants, and anyone aiming to excel in the oper.
provider Coursera  MasterTrack
pricing Paid Course
duration 24 weeks, 8-10 hours a week

Artificial Intelligence (AI) Concepts in Python

Unlock the mysteries of Artificial Intelligence (AI) and Machine Learning with our comprehensive course, designed to demystify the buzz around AI. Dive into the essential concepts and practical applications of Machine Learning, Deep Learning, Predictive Analytics, and beyond. Explore how AI can be leveraged for tasks like recognizing handwritten di.
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provider DataCamp
pricing Free Trial Available
duration 4 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!