100 Days of Code: The Complete Python Pro Bootcamp
Do you want to learn how to code with Python, one of the most popular and in-demand programming languages in the world? Do you want to build 100 projects in 100 days, ranging from games, apps, websites, data science, machine learning, automation, and more? Do you want to join a fun and supportive community of learners who are on the same journey as you? If you answered yes to any of these questions, then this article is for you.
In this article, I will introduce you to 100 Days of Code: The Complete Python Pro Bootcamp, a Udemy course that will teach you everything you need to know about Python programming. You will learn from Dr. Angela Yu, a leading instructor at the App Brewery, London’s best in-person programming bootcamp. You will also benefit from over 500,000 5-star reviews and a 4.8 average rating from students who have taken this course. By the end of this article, you will have a clear idea of what this course offers, what you will learn, and how you can enroll today.
Course Content
The course content is divided into five main sections: Programming 101, Python Projects, Data Science and Machine Learning, Web Development, and Game Development. Each section covers a different aspect of Python programming, with plenty of examples, exercises, quizzes, challenges, and projects. Let’s take a closer look at each section.
Programming 101
In this section, you will learn the basics of Python programming. You will learn how to use PyCharm, Jupyter Notebooks, and Google Colab as your coding environments. You will also learn how to write and run Python code, using variables, data types, operators, conditional statements, loops, functions, and more. You will also learn some of the best practices and tips for writing clean and efficient code. By the end of this section, you will have a solid foundation of Python programming that will prepare you for the next sections.
Python Projects
In this section, you will apply what you learned in the previous section to build 12 amazing Python projects. You will learn how to use libraries and modules in Python, such as turtle, random, datetime, pandas, numpy, matplotlib, and more. You will also learn how to debug and test your code, using tools like PyLint, PyTest, and Repl.it. Some of the projects you will build in this section are:
- A band name generator
- A tip calculator
- A treasure island game
- A rock paper scissors game
- A password generator
- A Caesar cipher
- A secret auction program
- A hangman game
- A blind auction program
- A blackjack game
- A higher lower game
- A coffee machine simulator
By the end of this section, you will have a portfolio of 12 Python projects that you can showcase to potential employers or clients.
Data Science and Machine Learning
In this section, you will learn how to use Python for data science and machine learning. You will learn what data science and machine learning are, and why they are so important in today’s world. You will learn how to use Python for data analysis and visualization, using libraries like pandas, numpy, matplotlib, seaborn, plotly, and more. You will also learn how to use Python for machine learning and artificial intelligence, using libraries like scikit-learn, TensorFlow, Keras, and more. Some of the projects you will build in this section are:
- A data analysis of the US presidential election results
- A data visualization of the Netflix stock price
- A data analysis of the COVID-19 pandemic
- A machine learning model that predicts the price of a house
- A machine learning model that classifies images of handwritten digits
- A machine learning model that generates text based on a given input
- An artificial intelligence model that plays tic-tac-toe against a human player
By the end of this section, you will have a portfolio of 7 data science and machine learning projects that demonstrate your skills and knowledge in this field.