What Can Computer Games Teach Us About Data Science?
The number of online gamers globally has expanded dramatically, with figures indicating that more than 2 billion gamers generate more than 50 GB of data daily. While AI and data science methods are frequently used to improve games and create a better game interface, this gaming can also teach players about data science.
According to studies, video games and the gaming business are among the most engaging ways for an individual to build perceptual, cognitive, behavioral, affective, and motivational impacts and outcomes. Yet, this should not become an addiction. I’ve compiled a list of 6 skills in video games that can educate gamers about data science.
Before that, have a look at an online data science course in Mumbai, and learn these in-demand skills to get started.
- Programming Languages
Several video games instill the concept of increasing coding skills and assist users with computing techniques like Python, R, Perl, JavaScript, etc. Video games like Code Conflict and Empire of Code allow data science enthusiasts to improve existing coding skills if they aren’t already familiar with them. Some games, such as Codinggame, can introduce players to programming languages, including Scala and Python, in order for them to win the games. These games assist players in improving their skill set while enhancing their chances of advancing in the profession. These games are available to both novice and advanced coders.
- AI & ML Concepts
Some games even assist players in honing their AI and machine learning skills by exposing them to bot creation. In games like Dynasty of Code, members can employ algorithms to create a bot that they may employ to influence other players. It is also one of the greatest methods for acquiring how to build and run working bots, a skill that may subsequently be applied in a career. Coding abilities are helpful here, which can be learned while playing video games, as previously noted.
- Data Analysis
Enhancing programming languages may help players improve in data analysis, one of the most important prerequisites for working in the data science business. Data Games, for example, is a collection of mini-games that assist players in comprehending the data behind each game. It allows the user to forecast matches with respect to the sample, which is helpful in honing data analysis skills. Anyone interested in entering the data science business can benefit from playing this exciting game to learn a bit or two concerning data analysis.
- Analytical Thinking
Analytical thinking ranks as one of the most important talents that data science practitioners must have. Games like Brainzilla provide a variety of mathematical tasks, aptitude tests, parables, brainstorming questions, and other activities that might assist the player in developing analytical thinking skills. It also includes answering math in a set amount of time, similar to a rapid-fire round. The puzzles span from easy to challenging levels and can be used by people of all ages to help them develop logical thinking.
- Math skills
Games can be a pleasant and exciting technique to instill mathematical abilities and concepts in children and adults. Games like Monkey Labs require solving math puzzles, where tough puzzles are presented to the players and must be answered in a time-constrained manner. It not only introduces you to new math skills, but it also enhances your speed and agility when solving problems.
- Statistical and probability
Games like Rabbits and Wolves provide an attractive environment for developing statistics and probability skills. It exposes your players to circumstances, including assigning the correct values and evaluating the probability of a certain situation, assisting in developing these skills.
So these were the top skills to know as a data scientist working in gaming and other other fields. If you are planning to start from the ground up, refer to the data science course in Pune right away!
