1 / 8

Top Resources To Learn Python For Data Science and Machine Learning

<br>We'll look at the definition of Python and several resources for learning it well. Python certification is also popular among programmers.<br>

gtechcouncil
Download Presentation

Top Resources To Learn Python For Data Science and Machine Learning

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Top Resources To Learn Python For Data Science and Machine Learning

  2. If you want to become a professional in the data science and machine learning sectors, you need to choose a programming language first. This is important because having expertise in the language you would implement the codes is essential. Though you can learn any language like c, c++, and so on, Python is one of the best options. However, it depends on your preference. Here we will look into the definition of Python and the resources where you can learn it efficiently.ThePython certification is popular among techies as well. Understanding Python Undoubtedly, Python is the most in-use language by various businesses for formulating applications. Here are some of the reasons why choosing Python would be beneficial for your career:

  3. Python has the most effortless syntax and readability that is perfect for beginners and highly usable for experienced ones. Moreover, it is intuitive and straightforward to understand; in fact, it is almost similar to regular English. • Python is compatible with various paradigms. However, most users describe it as a highly object-oriented programming language. • It is an open-source and free-of-cost programming language. • It offers hundreds of different systems and libraries. The frameworks of Python add to your developmental process. • With it, you can eliminate waste of time as it allows you to easily replace the entire solution. Let us look into different resources to learn Python programming language: • Udemy

  4. On this platform, you will take a Python crash course as the very first coursework content. This will cover syntax and data structures. Once you are done with the chapters, you will move ahead to learn about libraries popular in data science and machine learning. Some of the examples are Matplotlib, NumPy, and Pandas, etc. Furthermore, Josh Portilla will be your tutor. Also, he is head of data science at the company named Pierian data Inc. Aside from online classes, you can also get in touch with the tutor and take in-person data science and Python programming training. Many employees of big companies like Cigna, electric, Suisse, New York Times, McKinsey, electric, and many more attend his training programs. With the course, you will learn critical concepts like: • Bias-variance tradeoff and cross-validation. • Processes of natural languages. • Recommended systems. • Multiple machine learning algorithms.

  5. 2.TalkPython Training This particular course uses project building to teach Python to its students. Here you will explore how to perform projects in Python alongside the Python syntax. Furthermore, once you complete the course, you can independently work on your Python projects. In the initial coursework, you will learn how to build ten applications. The course is affordable and charges only $69 for permanent access. However, we recommend you check out the content material and outline of the course before paying for it. Also, check whether they offer Pythonprogramming certification after course completion. 3. Coursera It has been in existence since April 2012, and a well-known machine learning teacher Andrew NG runs the course program. Coursera has collaborations with many top universities across the world. Further, these universities provide online certifications, degrees as per, and courses.

  6. 4. IBM: Python for Data Science, AI, and Development At IBM, Joseph Santarcangelo is your trainer who has a Ph.D. and is a Data Scientist at IBM. This platform brings together different organizations that provide their knowledge on the subject. Further, this course is more like an introduction to Python, and it is suitable for novices. Moreover, students with no knowledge can start with this course and learn practical programming in Python. The course work includes Python basics, data structures, data assessment, and so forth. In addition to this, you'll also get familiar with collections and APIs. You will also be exploring ML algorithms such as Regression, Classification, Dimensional Reduction, Clustering. Aside from this, the course will introduce you to popular models like Root Mean Squared Error, Train/Test Split, and Random Forests. IBM focuses on real-world applications of Python. Hence, encouraging you to understand how ML technologies are shifting our present reality every day. 5. Python programming tutorials by Socratica Socratica is a channel on YouTube known to be one of the best resources to learn Python programminglanguage. The way they present their programming tutorials is as engaging and effective as watching a good series on Netflix. We already know that Python is majorly applicable for data science and machine learning projects. Additionally, the libraries of Python are highly usable for both front-end and back-end programming. Some of the best libraries are scikit-learn, and Tensorflow which help you write an AI system quickly.

  7. 6. Codecademy Among numerous great courses for learning data science, Python, and machine learning altogether, Codecademy comes in the top names. With this platform, you will get to know multiple skill path courses. Though most of their specializations match with another learning platform named Coursera, its coursework is comparatively shorter. Its course material ranges from being suitable for individuals with zero knowledge and novice-friendly to an advanced level. In addition to this, users also get access to useful learning materials like Codecademy blogs, etc. Available courses on the platform are as follows: • Learning in-depth Python 3. • Data visualization with Python. • Technique to Clean Data With Python. • Building a ML Model with Python.

  8. Conclusion The above-mentioned resources provide some of the best courses that beginners, as well as experienced individuals, can take. But, still, we advise you to learn about the courses thoroughly before investing your money and time in them. Also, be careful not to fall for the habit of taking various courses simultaneously. But whichever python course you take, stick with it till completion. A good platform will let you perform the practical implementation of the knowledge you gain through their course. Further, don't indulge yourself in the debate of Python versus R language as it will only distract your mind and waste your time. If you like learning about new things in the technical space, the Global Tech Council is the platform for you.

More Related