10 Best Codecademy Courses and Certifications For Beginners
Codecademy is a popular online platform that provides online courses and coding tutorials to build the best learning experience inside and out. Hence, our team at Coursesity has researched this powerful platform. The Codecademy course library includes some of the most influential programming languages, such as Python, Java, Go, JavaScript, Ruby, SQL, C++, Swift, and Sass, as well as markup languages HTML and CSS.
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Top Codeacademy Courses and Tutorials List
1. Learn Web Development - Kick-Start Your Career
Start with the front-end by learning HTML, CSS, and JavaScript. Then, master the back-end and APIs to round out your full-stack skills.
In this course, you will learn how to:
- get started as a web developer by learning the basics of HTML, the essential language of the web.
- practice the fundamentals of CSS to add beautiful styling to your web pages.
- understand the fundamentals of JavaScript: syntax, variables, conditionals, and functions.
- CSS techniques for more interesting sites: display & positioning, colors, typography, responsive design, and flexbox.
- JavaScript: Arrays, Loops, and Objects: Discover more JavaScript techniques and features including arrays, looping, and objects.
- Document Object Model, the interface between JavaScript and HTML elements, and combine HTML, CSS, and JavaScript into exciting interactive sites!
- techniques to extend your JavaScript knowledge including reusable classes, splitting code into modules, and making HTTP requests.
- discover the power of this simple yet essential text-based tool and increase your productivity as a developer.
- save and manage different versions of your code projects with this essential tool.
- build dynamic and powerful web apps using React.js, a component-based front-end framework.
- create back-end servers and APIs in JavaScript using the popular Express.js framework.
- understand the SQL fundamentals needed to be a successful full-stack web developer.
- Building a Persistent API: Learn the Node-SQLite to connect JS and SQL in web apps, and build your first fully-integrated back-end application.
- master the fundamentals of Test-Driven Development to create reliable full-stack JavaScript web applications.
You will learn to master the tools that front-end developers use every day, from HTML to React, plus server-side back-end JavaScript libraries with Express.js.
You will build the back end of a web application and even create your API. Build portfolio-worthy projects while you learn, so you can show recruiters your skills and kick-start your career as a web developer.
2. Java Tutorial: Learn Java Basics For Free
Learn the basics of the popular language, including Java objects, in this introductory course.
In this course, you will learn:
- about Java programming.
- about data types in Java and how we use them. Then, practice your skills with two projects where you create and manipulate variables.
- about object-oriented programming in Java. Explore syntax for defining classes and creating instances.
- conditionals and control flow in Java programs.
- build lists of data with Java arrays and ArrayLists.
- use loops to iterate through lists and repeat code.
- a lot of useful methods for performing operations on strings and data manipulation.
- dive deeper into object-oriented Java with inheritance and polymorphism.
- about different types of errors in Java and practice finding them.
In this course, you will be exposed to fundamental programming concepts, including object-oriented programming (OOP) using Java. You will build 7 Java projects—like a basic calculator—to help you practice along the way.
3. Learn Data Science - Kick-Start Your Career
Become a Data Scientist. Data Science is one of the fastest-growing fields in tech. Get this dream job by mastering the skills you need to analyze data with SQL and Python. Then, go even further by building Machine Learning algorithms.
In this course, you will learn about:
- importance of Data and SQL Basics: Learn about the tools Data Analysts use to find insights in datasets and the basic syntax of the SQL language.
- SQL: Basics: Learn the basics of SQL databases and write your first queries.
- SQL: Intermediate: Increase the number of tools in your SQL toolset by learning about aggregates and multiple tables.
- Go Off-Platform with SQL: Set up a SQL database on your own computer and practice the commands you've learned.
- Analyze Real Data with SQL: Combine everything that you learned to solve real business problems.
- Python Functions and Logic: Learn the basics of abstraction, as you create repeatable blocks of code and tell your program how to navigate through the instructions you provide for it.
- Python Lists and Loops: Learn about Python lists for organizing your data and loops for repeating blocks of code.
- Advanced Python: Learn how to write more efficient Python code with list comprehensions and lambda functions.
- Python Cumulative Project: Learn about how to fit a line to some points while combining all of your knowledge of Python so far.
- Learn Data Analysis with Pandas: Learn the basics of Pandas, an industry-standard Python library that provides tools for data manipulation and analysis.
- Data Visualization: Insights mean nothing if you can't present them and convince others that the findings are important. But how do we present data in Python?
- Visualization Cumulative Projects: Practice your data visualization skills on these real-world datasets.
- Data Visualization Capstone Projects: Complete one of our two capstone projects that will test all of your data visualization skills.
- Learn Statistics with Python: Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
- Learn Statistics with NumPy: Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.
- Hypothesis Testing with SciPy: Learn SciPy, a Python module for comparative statistics, in order to perform many different statistical tests in code.
- How to Clean Data with Python: Pull and clean data from the web with this Python-based course.
- Data Analysis Capstone Projects: Complete two capstone projects that will test all of your data analysis skills.
- Learn Web Scraping with Beautiful Soup: Learn Beautiful Soup, a popular Python library for web scraping.
- Machine Learning: Supervised Learning: Discover how to use supervised learning techniques, in which algorithms learn from many examples of past outcomes.
- Supervised Machine Learning Cumulative Project: In this cumulative project, use your understanding of a variety of supervised machine learning models to analyze social media data.
- Machine Learning: Unsupervised Learning: Learn about how to perform learning on a dataset when we do not have any of the answers, to begin with.
- Unsupervised Machine Learning Cumulative Project: Create a project on your own computer that demonstrates your understanding of unsupervised machine learning!
- Perceptrons and Neural Nets: Learn the concepts behind neural nets and begin to create your own by implementing a perceptron — the building blocks of neural nets.
- Machine Learning Capstone Project: Use a dataset from OkCupid and the machine learning skills you have learned for this project.
- Natural Language Processing: Build code that powers tools from virtual assistants to autocorrect.
You will learn to use SQL to talk to databases and manipulate tables like a real data scientist. Use Python for statistical analysis and create data visualizations to see the big picture. Additionally, you will learn to create models that can automate data processes, recognize patterns, and make recommendations.
4. Learn Go
Learn how to use Go (Golang), an open-source programming language supported by Google.
In this course, you will learn:
- how to use Google’s new programming language, GO.
- about creating and storing values in Go by using variables. Using different types to indicate what values those variables store.
- about implementing conditionals in Go.
- how to write Go functions.
The course includes:
- The setup of a Go environment and how to create a Go file.
- Go’s data types and variables.
- Go’s conditional statements.
- Using functions in Go.
- Building Gopher It: Print out ASCII art using Go.
- Building Comic Mischief: Use variables to store data about a comic shop.
- Building Bank Heist: Simulate a bank heist using conditionals.
- Building Interstellar Travel: Call the functions of a space-traveling agency.
5. SQL Tutorial: Learn SQL For Free
Learn SQL - a language used to communicate with databases using SQL and learn how to write SQL queries.
In this course, you will learn:
- how to use SQL to access, create, and update data stored in a database.
- how to perform more complex queries by learning essential query keywords and functionality.
- powerful functions for performing complex database operations with ease.
- how to expand your SQL skills by creating and manipulating databases with multiple related tables.
In this course, you will learn how to communicate with relational databases through SQL. You will learn and practice with 4 projects on how to manipulate data and build queries that communicate with more than one table.
6. Learn Kotlin
Learn Kotlin, the expressive, open-source programming language developed by JetBrains.
In this course, you will learn:
- get started with Kotlin by learning everything you need to know to create your first basic program.
- about variables and the various data types that are supported in Kotlin.
- how to control the flow of code execution with conditional expressions.
- about the various types of collections that exist in Kotlin including lists, sets, and maps.
In this course, you will be introduced to fundamental programming topics, from writing your first print statement to creating your own objects and classes using the Kotlin programming language.
Along the way, you will hone your knowledge and programming skillset with quizzes and real-world projects.
7. Master a Skill - Get Started with Machine Learning
Did you know more data has been created in the past two years than in the rest of human history? That’s why machine learning models that find patterns in data and make decisions are so important. Learn how to build them with Python.
In this course, you will learn:
- some of the fundamental concepts behind machine learning.
- use linear regression or multiple linear regression to fit a line to data. Using this line, you can make predictions about future data.
- practice your regression skills on a real-world dataset provided by Yelp.
- to classify data using some of the most famous supervised machine-learning models.
- some of the more complicated supervised machine learning models.
- use your understanding of a variety of supervised machine-learning models to analyze social media data.
- how unsupervised machine learning models work by implementing the K-Means clustering algorithm.
- create a project on your own computer that demonstrates your understanding of unsupervised machine learning!
- concepts behind neural nets and begin to create your own by implementing a perceptron — the building blocks of neural nets.
- use a dataset from OkCupid and the machine learning skills you have learned to perform this project.
Use Python to scrub for inaccurate data points and then reformat the data to make it more useful to you. Understand when to use exploratory techniques like clustering, or predictive techniques like regressions or classifications.
Netflix and Amazon, use predictive modeling to suggest other things people might like based on past data.
8. Learn Swift
A powerful programming language developed by Apple for iOS, macOS, and more.
In this course, you will learn how to:
- write and run your very first Swift program.
- understand variables and basic data types.
- develop complex programs in Swift with conditionals and logical operators.
- make the most repetitive tasks easier by learning Swift loops
- use Swift arrays and sets to keep your data organized.
- store pairs of data using the dictionary collection type.
- write and interact with functions in Swift.
- model everyday objects using structures.
This course will start with the fundamental programming concepts before digging deeper into the more advanced Swift topics. You will build everything from a Magic 8-Ball to a Caesar Cipher.
9. Learn Computer Science - Kick-Start Your Career
Master Python and learn the fundamentals of Computer Science, like data structures and algorithms. These skills are the key to writing more efficient code and acing technical interviews.
In this course, you will learn:
- all about the programming language Python and the techniques used when writing it.
- about the tools for software development. Learn to navigate the terminal and keep snapshots of your work using git!
- about control flow, storage of data in Python, and how to loop over things!
- develop your own application using the Python programming language, the terminal, and git.
- use your coding skills to make a tourism recommendation service.
- about creating and using objects in Python with these courses on some of the most commonly used data types. Then unlock your full potential by learning how to create your own with classes!
- about building and creating data types and objects in this course that focuses on creating a specialized marketplace for art traders.
- about virtualization of computer memory by building the fundamental data structures of computer science: lists, stacks, and queues.
- discover and design new data structures that follow abstract rule-based systems by building out graphs, hash-maps, and heaps.
- about data structures and after that take some time to review and compare them.
- how to analyze the performance of algorithms in a general way using asymptotic notation.
- Recursion gives you a new perspective on problem-solving by defining a problem in terms of itself.
- about the usefulness and efficiency of computational sorting by implementing different sorting algorithms yourself.
- finding the data you are looking for in a data set is an important skill: get started with two common approaches.
- explore and graph the information you are looking for.
Grasp the ins and outs of Python one of the fastest-growing programming languages. There is code, and then there is a better code. With a strong conceptual foundation, you will be able to write clean, efficient code. Learn to think like a real programmer and gain confidence in your technical screens.
10. Learn C++
Learn one of the most powerful programming languages in the world and become a rockstar developer.
In this course, you will learn about:
- writing, compiling, and executing your first C++ program.
- variables and basic data types.
- how to use conditionals and logic to build programs that generate different outcomes.
- Loops.
- how to use C++ vectors, a great way to keep your data organized.
- Use C++ functions to write more flexible, modular, reusable code.
- use C++ classes and objects to build more scalable, modular programs.
- References and pointers are some of the most powerful features in C++; they allow programmers to directly manipulate memory.
This course will start with the fundamental programming concepts before digging deeper into the more advanced C++ topics. You will build everything from a Harry Potter Sorting Hat to a program that can censor text!
Hey! If you have made it this far then certainly you are willing to learn more and here at Coursesity, it is our duty to enlighten people with knowledge on topics they are willing to learn. Here are some more topics that we think will be interesting for you!