Python is one of the top five most popular programming languages in the world. In 2022, learning Python will help you get work in industries that strongly rely on data science. The top 3 Python courses online from reputable providers are discussed in this post.
It can also boost productivity compared to other programming languages. Game development, AI, ML, financial analytics, and web development are just a few of the many applications for Python.
In which LMS platform should you invest your time and money? This review will tell you more about it
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Python Courses Online – Overview
Python is a robust programming language due to its vast library support. Python, despite its popularity among developers, is a general-purpose language.
Python’s popularity is attributable to the fact that it is the favored programming language among data scientists! Python has the most straightforward syntax and is the closest programming language to plain English.
Due to advancements in AI and data science, the demand for data scientists and Python developers has increased over the past few years and will continue to rise in the future. You can begin a career as a software engineer, data scientist, or data analyst.
In addition to being popular due to its capabilities, being a Pythonista can also be financially profitable. The minimum wage for Python developers is $70,000, while the maximum is $120,000.
Google and other major corporations use Python extensively; consequently, there are numerous fantastic employment prospects.
Top 3 Python Courses Online 2022
1. Complete Python Bootcamp From Zero to Hero – Udemy
The Complete Python Bootcamp course concludes with a project that allows you to use your programming skills. It includes both fundamental and advanced concepts. The price is cheap, and Udemy frequently offers discounts on its courses.
19 code exercises, 14 articles, and 22 hours of on-demand videos comprise the entirety of the course. After a quick introduction to Python, the setup, data types, object-oriented programming concepts, modules, functions, and Jupyter Notebook GUI development are addressed. In addition, you will create games such as blackjack and tic tac toe!
You may learn on the go by downloading course materials (including videos) from the Udemy mobile app. After completing a purchase, you receive a certificate of completion from Udemy and lifetime access to the course contents.
2. Learn Intermediate Python – Udacity
Learn Intermediate Python is more than just a course offered by the well-known and acclaimed online learning site Udacity.
Large codebases with libraries and advanced Python concepts are addressed. The first portion covers core Python concepts, while the second examines how to enhance your work with free and open-source modules.
You must be familiar with Python concepts and have prior Python experience to enroll in this nano degree program. Payment terms begin at $399 per month and $558 per two months. Additionally, there are additional methods for paying installments.
This online Python course may be completed in approximately two months with 10 hours per week of study. In addition, Udacity provides technical mentor support and a community for students to collaborate with others who share their interests.
With this nano degree, Udacity also provides career services such as resume aid, Github analysis, and LinkedIn profile improvement.
Given that Udacity is a well-recognized supplier in the sector, obtaining a certificate at the conclusion will significantly improve your employment prospects. This is one of the top online Python courses accessible for individuals interested in a career in data science.
3. Introduction to Python – Datacamp
Python’s popularity is increasing as data science develops. DataCamp’s Introduction to Python course will teach you the essentials of Python, including lists, functions, methods, packages, and Numpy. You may hone your coding skills by completing a range of challenges. There is a community Slack forum available.
Students initially study Python’s foundations (variables, data types, operations). The second chapter details how to save, retrieve, and modify data using Python lists. In the third module, functions and packages are discussed.
The concluding chapter discusses Numpy, a Python module for data research. Students continue to explore data while learning to create 1D and 2D arrays.
You do not need any prior coding experience to enroll in one of the best online Python courses. You can then enroll in a program for financial analytics or data analytics.
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