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10 Games To Improve Your Data Science Skills in 2024

Welcome to 2024, where playing games is not just limited to having fun.

Games nowadays, both online and offline, are played to earn and learn.

They have emerged as powerful tools that can help you accomplish multiple things and also keep you entertained.

Earlier, we covered the list of the top 10 mobile games you can play to earn cryptocurrency. And today, we are covering the top 10 games to improve your data science skills in 2024. 

10 Games to Improve Data Science Skills

CodeCombat

CodeCombat is one of the best games to learn data science. It is a multiplayer game, and it helps you understand how to program. In the game, you guide your characters by typing commands in coding languages such as JavaScript and Python.

This game allows you to progress at your own pace and make choices on how to learn through a curriculum that is structured like a game.

CodeCombat is suggested for students who are between 9 and 16 years old. It provides no-cost, upgraded, and learn-at-your-own-speed subscription options, along with a personal plan.

Empire of Code

Empire of Code is a game about exploring outer space. You can play it even without any prior coding knowledge. This strategy game helps people learn JavaScript or Python, which are important programming languages.

The game will allow you to build, expand, and code your empire to victory. You can also participate in real-time battles with players from all around the world.

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Pattern Matrix

Pattern Matrix is a game that helps with better recognition of patterns and analytical abilities. It aims to encourage the brain to employ these skills more.

In the game, you will be provided with four tiles, two of the same pattern each, and asked to identify the tiles with similar patterns. If you correctly identify more patterns, the difficulty level will increase. 

Kaggle Competitions

If you are skilled in data science and machine learning, then participate in Kaggle competitions. The competitions ask you to build solutions or analyze data through model creation.

The prize pool for the competitions ranges from $25,000 to $100,000. Typically, businesses or research organizations that need to find solutions for certain issues arrange these competitions. It is a great way to hone your data science skills and apply it to the real world. 

Ruby Warrior

Ruby Warrior is one of the easiest and most fun ways to learn the programming language Ruby. This game aims to make learning the Ruby language and artificial intelligence enjoyable through active participation.

In the game, you have to write code to guide a knight or a rogue adventurer, travel in a one-dimensional dungeon, and complete different levels.

CodinGame

CodinGame is an online platform that offers plenty of games that require you to code if you want to succeed at them. It is one of the best ways to enhance your knowledge and skills in languages like Java, C++, C, Ruby, and Python. 

There are three gameplay modes—simple, intermediate, and challenging—and you can also compete with others. CodinGame also has a leaderboard of the top coding and programming experts that is updated in real-time.

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Math Workout

Understanding mathematics is crucial if you are working in data science. If you want to learn about basic math, including areas like statistics, probability, calculus, and algebra, then Math WorkOut is the perfect game for you. 

The game has many different exercises and challenges that will help you improve your math skills. It provides an enjoyable and engaging method to practice using math ideas in situations you might find in real life.

ChekciO

ChekciO is a platform with games and contests for developers, where you can find programming puzzles and coding challenges. It aims to improve coding skills while having fun, making it suitable for youngsters starting in the field as well as experienced coders.

CheckiO is used by teachers and students worldwide. It also has a classroom feature, which is made to give extra help. 

CSS Diner

CSS Diner is a learning game where you can learn and practice CSS (Cascading Style Sheets). The game has 32 levels, and in each level, you will be asked to choose the correct selector if you want to level up fast. 

The game is great for helping you get better at CSS. It is an interactive game that provides a hands-on learning experience. 

Conquer and Command

Command & Conquer is a series of real-time strategy (RTS) games that came out in 1995. It is one of the earliest games that is thought to have popularized the RTS genre. 

In this real-time strategy game, you need to remove the other team from play to reach your objective. It is one of the most effective games to improve your critical and analytical thinking skills. 

The Bottom Line

The above-mentioned games on the list are perfect for you to improve your skills in data science. Not only are these fun to play, but they also enhance your knowledge. A win-win situation for you. 

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FAQs

Is data science a good career in 2024?

Yes, Data Science is one of the fields that will grow significantly in the coming years. With the AI revolution, the demand for experts in this field is also increasing rapidly. 

How can I improve my data science skills?

The first and foremost thing to do to improve your data science skills is to practice rigorously. Playing the aforementioned 10 games will also help you improve your coding, programming, and mathematical knowledge.

What is the best game to improve coding skills?

CodeCombat is one of the best games available that can help you improve your coding skills substantially. It is a multiplayer game where you control your character by writing codes. The game is perfect because you will be playing against expert coders who will challenge you and push you to improve.

Raya

Raya is a tech enthusiast diving deep into New-Age technology, especially Artificial Intelligence (AI) and Machine Learning (ML). She is passionate about decoding the complexities and uses of new-age tech. Raya is on a mission to write articles that bridge the gap between technical jargon and everyday understanding, making AI and ML accessible to a wider audience.

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