10 Best Python Courses To Learn In 2022

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10 Best Python Courses To Learn In 2022

Introduction

Python is used in a variety of fields, including websites, apps, games, databases, research, and AI projects. The conciseness, clean code, and clear structure of this language make it a favorite among programmers.

Why then is Python so popular? I don’t think it’s necessary to remind you? Is it even worth it? It enables you to create online apps, games, data analysis, process automation, and much more. You may select from a variety of Python courses and certifications to get the one that best suits your needs.

Python is well-known as a popular programming language. Python is an extraordinarily strong language that forms the backbone of AI, machine learning, and a huge percentage of data science projects, with the capacity to automate repetitive operations, extract information from files, and even construct websites. Python’s syntax is one of the easiest object-oriented programming languages to learn among computer languages.

In this article, you will find the Top 10 Best Python Courses To Learn In 2022. Beginners who wish to learn the basics, as well as intermediate programmers looking for more advanced information, may benefit from this article.

1. 100 Days of Code: The Complete Python Pro Bootcamp for 2022 by Udemy

This course by Udemy will help you Master Python Programming Language by building 100 projects in 100 days. Learn data science, and automation, and build websites, games, and apps! This course has 500,000 5 STAR reviews and it is one of the Highest Rated courses in the history of Udemy!  

With 60+ hours of training, this course is indeed the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional.

Key Topics

  • Python 3
  • PyCharm, Jupyter Notebook, Google Colab
  • Python Scripting and Automation
  • Python Scripting and Automation
  • Python Game Development
  • Web Scraping
  • Beautiful Soup
  • Selenium Web Driver
  • Request
  • WTForms
  • Data Science
  • Pandas
  • NumPy
  • Matplotlib
  • Plotly
  • Scikit learn
  • Seaborn
  • Turtle
  • Python GUI Desktop App Development
  • Tkinter
  • Front-End Web Development
  • HTML 5
  • CSS 3
  • Bootstrap 4
  • Bash Command Line
  • Git, GitHub, and Version Control
  • Backend Web Development
  • Flask
  • REST
  • APIs
  • Databases
  • SQL
  • SQLite
  • PostgreSQL
  • Authentication
  • Web Design
  • Deployment with GitHub Pages, Heroku, and GUnicorn
  • and much much more!

Requirements:  Internet connection.

Duration: 60 hours of on-demand video

Rating: 4.7

Certificate: Yes

Entry Level: Beginner/Intermediate 

2. Python Quick Start by LinkedIn learning

In a popular course by LinkedIn learning, you can learn what Python is and why it’s become such a powerful and in-demand programming language. This course has 186,326 learners and is one of the Highest Rated Courses on LinkedIn learning.

With this course, you can learn the basics you need to become proficient in Python and decide if it’s the right language for your projects.

Key Topics

  • Python
  • Data types
  • Variables
  • Functions
  • Sequences
  • Conditional statements
  • Iteration
  • Recursion 

Requirements:  None.

Duration: 1h 36m

Rating: 4.7

Certificate: Yes

Entry Level: Beginner/Intermediate 

3. AI Programming with Python by Udacity

In a popular course by Udacity, gaining experience in programming with Python, one of the most widely used languages in Artificial Intelligence. You’ll also study neural networks, which are the foundation of artificial intelligence. You establish the foundations for developing your career by acquiring core AI and math abilities, whether you’re just getting started or preparing for a full-time position.

With this course, you will learn to use all the key tools for working with data in Python: Jupyter Notebooks, NumPy, Anaconda, pandas, and Matplotlib.

Key Topics

  • Introduction to Python
  • Jupyter Notebooks, NumPy, Anaconda, pandas, and Matplotlib
  • Linear Algebra Essentials
  • Calculus Essentials
  • Sequences
  • Neural Networks

Requirements: Basic Algebra and Programming Knowledge

Duration: 3 Months

Rating: 4.6

Certificate: Yes

Entry Level: Beginner/Intermediate 

4. Python for Data Science and Machine Learning Bootcamp by Udemy

This thorough course will teach you how to leverage Python’s capabilities to analyze data, create stunning visualizations, and implement sophisticated machine learning algorithms!

With this course, you can learn the basics you need to become proficient in Python and learn to create amazing visualizations, and how to use machine learning algorithms!

Key Topics

  • Programming with Python
  • NumPy with Python
  • Using pandas Data Frames to solve complex tasks
  • Use pandas to handle Excel Files
  • Web scraping with python
  • Connect Python to SQL
  • Use matplotlib and seaborn for data visualizations
  • Use plotly for interactive visualizations
  • Machine Learning with SciKit Learn, including:
  • Linear Regression
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Natural Language Processing
  • Neural Nets and Deep Learning
  • Support Vector Machines
  • and much, much more!

Requirements:  None.

Duration: 25 hours of on-demand video

Rating: 4.6

Certificate: Yes

Entry Level: Beginner/Intermediate 

5. Learn Python 3 by Codecademy

This course is a good introduction to the basics of python programming concepts and the Python programming language. This course has 45,000,000+ learners and is one of the Highest Rated Courses on Codecademy.

With this course, you can learn the basics you need to become proficient in Python and decide if it’s the right language for your projects.

Key Topics

  • Control Flow
  • Lists
  • Loops
  • String
  • Modules
  • Conditional statements
  • Iteration
  • Recursion 

Requirements:  None.

Duration: 25 Hours

Rating: 4.7

Certificate: Yes

Entry Level: Beginner/Intermediate 

6. Data Science with Python Certification Course by Edureka

The Data Science with Python course will help you grasp crucial Python programming concepts such as data operations, file operations, object-oriented programming, and different Python libraries such as Pandas, Numpy, and Matplotlib that are required for Data Science.

This training is appropriate for both professionals and novices. This Python for Data Science certification program will also teach you about Machine Learning, Recommendation Systems, and other Data Science ideas to help you get started in your Data Science career.

Key Topics

  • Learn data visualization
  • Programmatically download and analyze data
  • Work with real-time data
  • Learn tools and techniques for predictive modeling
  • Discuss Machine Learning algorithms and their implementation
  • Validate Machine Learning algorithms
  • Perform Text Mining and Sentimental analysis
  • Explain Time Series and its related concepts
  • Gain expertise to handle business in the future, living the present

Requirements:  Internet Connection.

Duration: 10 weeks

Rating: 4.7

Certificate: Yes

Entry Level: Intermediate 

7. Python 3: A Beginners Guide to Python Programming by Skillshare

This course has over 130 lectures and over 7 hours of video, each of which covers a different topic of the Python programming language. This course walks you through the Python 3 programming language step by step. You’ll go from being a complete Python newbie to installing Python and writing your own apps in no time.

Take a deep breath if you’ve just decided to learn to program. You’ve made the proper decision. Python is a fairly simple language to learn, so you’ll be through the fundamentals and on to developing programs in no time.

Key Topics

  • Variables
  • Strings
  • Numbers
  • Comments
  • Lists
  • User input
  • Conditional tests
  • Dictionaries
  • While loops
  • Functions
  • Classes
  • Files
  • Error handling

Requirements:  Internet Connection.

Duration: 8 Hours

Rating: 4.5

Certificate: No

Entry Level: Beginner level

8. Data Science with Python by Simplilearn

This Python certification course in Data Science provides you with a comprehensive understanding of Python’s data analytics tools and approaches. Many data science professions require python knowledge, which you can gain with our Python data science course.

You may study Python for data science while also learning concepts like data wrangling, mathematical computing, and more using a blended learning approach. With Simplilearn’s Data Science with Python course, you may start your career as a data scientist.

Key Topics

  • Data wrangling
  • Data exploration
  • Data visualization
  • Mathematical computing
  • Web scraping
  • Hypothesis building
  • Python programming concepts
  • NumPy and SciPy package
  • ScikitLearn package for Natural Language Processing

Requirements:  Internet Connection.

Duration: 68 Hours

Rating: 4.5

Certificate: Yes

Entry Level: Intermediate 

9. Python for Non-Programmers by LinkedIn learning

Did you know that one of the simplest methods to learn to code is to learn Python? That is correct. And with this course, you’ll be able to bypass the jargon and have a lot more fun learning how to code. You also don’t need to be an expert technician. Join teacher Nick Walter to learn all you need to know to get started right away.

Nick teaches you the essentials of Python as a non-programmer with little to no coding experience in this course. Find out more about Python, including what it is and isn’t used for. Investigate how Python handles numbers and how you may interact with simple applications like a number-guessing game.

Key Topics

  • Python Basics
  • Lists
  • Loops
  • Dictionaries
  • Functions

Requirements:  Internet Connection.

Duration: 1h 55m

Rating: 4.8

Certificate: Yes

Entry Level: Beginner

10. Learn Intermediate Python by Udacity

Python is a general-purpose programming language with uses in web development, data science, machine learning, finance, and other fields. The Intermediate Python Nanodegree program will teach you how to use Python’s features to optimize the functionality of programs that do difficult tasks like categorizing files, data mining a webpage, and so on.

You’ll have a portfolio by the end of the program that demonstrates your ability to use practitioner-level Python abilities on the job.

Key Topics

  • Advanced Python Topics
  • Large Codebases with Libraries

Requirements:  Basic Python

Duration: 2 months

Certificate: Yes

Entry Level: Intermediate

With online courses, you can study anywhere, at the time suitable for you, get full lifetime access and a Certificate of Completion. It is a wonderful experience that enables you to be taught by internationally skillful instructors whom you might not get the chance to meet otherwise. Nowadays, e-learning is a great advantage of technology that enables you to easily improve your skills and enjoy the learning experience.

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