Python courses

702 Courses

Complete Data Analyst Bootcamp From Basics To Advanced

Elevate your data analysis skills with our comprehensive bootcamp designed to guide you from the basics to advanced levels. Whether you are just starting out or looking to sharpen your skills, this course covers essential tools and techniques in data analysis. The bootcamp includes in-depth modules on: Python Programming for Data Analysis.
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はじめてのPythonプログラミング入門

はじめてのPythonプログラミング入門で、生成AIや機械学習、データサイエンス、そしてウェブ制作に役立つ基本的なプログラミングスキルを身につけましょう。Udemyが提供するこのコースでは、初心者から上級者まで幅広く対応し、最新の技術を用いた有用な知識を獲得できます。Pythonを活用して、あなたのアイデアを実現するための第一歩を踏み出してください。
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Deep Learning Python Project: CNN based Image Classification

Embark on a transformative journey into the world of deep learning with our comprehensive project on image classification using Convolutional Neural Networks (CNN). Designed for beginners, this course utilizes the CIFAR-10 dataset and provides detailed insights into building and training your own CNN models leveraging Python's powerful framewor.
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Programming for Scientific Research with Python and R

Delve into the world of scientific research using Python and R in this expertly crafted course offered by Udemy. Designed for aspiring scientists and data analysts, this course covers a broad spectrum of topics including data manipulation, visualization with Matplotlib, statistical analysis with SciPy, and comprehensive data handling using NumP.
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Python Fundamentals

Python is the leading programming language crucial for data science, making it essential for kick-starting or advancing your career in the field. This course covers the core skills required to write and execute Python code effectively. Gain an understanding of basic Python concepts to set a strong foundation for data science projects. Learn to h.
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Regression Analysis - Fundamentals & Practical Applications

Linear regression analysis is crucial for examining and defining the strength of relationships between variables, offering predictions based on known data. This course provides a comprehensive introduction to linear regression, covering both theoretical foundations and practical applications. You will gain insights into how linear regressi.
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Python for Complete Beginners

Discover the world of Python programming with our "Python for Complete Beginners" course offered by Udemy. Ideal for newcomers, this step-by-step guide will help you understand Python's basics and advance to more complex programming concepts. What You'll Learn: Understand Python syntax and semantics. Develop problem-solving skills with Py.
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Data Analytics Certificate

Embark on a journey to enhance your career prospects with the Data Analytics Certificate from Noble Desktop. This immersive course equips you with the pivotal skills needed to thrive as a Data Analyst or Business Analyst. Delve into the realms of data analysis, visualization, and statistical techniques through a curriculum designed to prioritize.

Deep Learning For Visual Computing

Deep learning revolutionizes how machines understand data by leveraging non-linear transformation architectures to solve hierarchical recognition tasks. Imagine a machine recognizing Mr. X in a photo standing before Mt. E; features evolve from identifying shapes, colors, and edges to comprehending complex scenes and objects. This course will.

Learn Home Automation Using J.A.R.V.I.S AI With Arduino

Title: Learn Home Automation Using J.A.R.V.I.S AI With Arduino Description: Master the art of home automation with the J.A.R.V.I.S AI Assistant and Arduino UNO Board in this comprehensive course offered by Udemy. Perfect for enthusiasts in Artificial Intelligence, Python programming, and Arduino hardware. University: Provider: Udemy Categories: Art.
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provider Udemy
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!