5 Games That Can Help You Improve Your Skills As a Data Scientist

Improve your skills and have fun at the same time.

Often, when we try to learn a new skill or get into a new field, we invest a lot of time, effort, and sometimes money into learning and mastering this skill or field. We read books, tutorials, blogs, watch videos, take courses, attend a class, and build projects just to get ourselves ready to apply for new jobs using these skills or in this field.

While that is a perfect way to learn something new or improve upon an existing skill, sometimes we wonder if there’s a way to work on our skills while doing something fun. We wonder if we can build new skills without actually reading a book or a technical post or watching a video. The truth is, there are many activities in life that we can do both to have fun and improve some skills without even realizing it.

One of these ways is gaming. We all like to sometimes game, just to relax, destress and get our heads off the work mood. Gaming is also a great way to escape reality and immerse ourselves in an imaginary world with more magic and action than real life. Games can also help us develop essential skills for many fields, including data science, without actually realizing we are working on these skills.

These games are fun to play and will help you work on these skills without the stress of building a project or following a deadline.

№1: Command and Conquer (C&C)

We will start out the games list with a real-time strategy or RTS game, Command & Conquer. This game is one of the earliest RTS games that include a complete ensemble cast to help you progress the story. This game introduces the player to different scenarios and different tasks that need to be completed. The player will need to develop a plan of action in order to finish these tasks and strategies efficiently. Playing such games can help you work on your critical and structured thinking skills, both very important for any data scientist to have a successful career

№2: Data Games

Perhaps the most directly related to data science on this list is this collection of games, Data games. These games help the player have a better understanding of the mechanics of any video game. For example, when you play a game, often the game collects a lot of data about your pattern of playing, but no one actually gets to see this data. This collection of games allows you to see this data, perform some interactive analysis, and make some predictions to get a sense of what real-life data analysis may involve.

№3: Empire of Code

Next up, we have Empire of code. Empire of code is a space game that combines strategy, tactics, and coding. Although you can play this game without needing any coding skills, if you do, it will give you a great advantage. This game will help you improve your machine learning and artificial intelligence skills because it will ask you to build bots and interactive content. You can use algorithms to develop these bots and use them against your opponents. You can also use this game to learn both building bots and coding in a fun, interactive way.

№4: Pattern Matrix

One of the most essential skills for any data scientist to evolve is pattern findings. In the early stages of any data science project, we will need to look at data, analyze it, and find some patterns and trends within it because these patterns could lead us to significant findings. One game that can help you improve your pattern-finding and analytical skills is Pattern Matrix.

№5: Lumosity Games

Last but not least is a collection of games that will help you work on improving your problem-solving skills through a series of fun interactive games developed by Lumosity Games. This game collection is designed to expand on your planning, spatial reasoning, and logical reasoning skills.

Final Thoughts

As data scientists, we are always learning, and our learning journey is never truly done. The more we get into the field, the more we will need to know. This is due to different things, like the fact that data science is a vast field, and you can’t really master all its branches, and also that data science, just like any other tech field, is still progressing and developing every day.

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