White-Black-Blue-Green-Red-White-Black-Blue, and so on. Then ask them to explain why they choose to put all the clothes in a different pile and the key features they used to sort them out.ĭata Patterns: Start stacking the items on the basis of a color code-E.g. Ask your child to observe why certain solid print t-shirts fit in one collection while jeans go in another group, notice the characteristics features of these clothes that set them apart. Then segregate the cloth chosen items into the different piles yourself. E.g., one can select to topwears, while others will work on bottomwears. Also keep clothes like onesies, sock-boots, stocking, jumpsuits separately hidden.ĭata Segregation and Analysis: Ask your kids to take out any particular type of cloth item as per their choice. Make sure it is a collected heap of different types and colors of clothes. Let us consider a pile of clothes in the house. Here is a fun activity to teach kids some of the critical concepts of data science or processes involved in Big Data.ĭata Collection: First, ask your kids to collect any commonly used object or thing is your house (legos, leaves, clothes, utensils, etc.). But have you ever wonder how you would explain the job roles and responsibilities to your children? Or what would you say if a school goer kid (or any data science ignorant) asks you questions about data science? Well, maybe we at Analytics Insight can help you here! The role of a data scientist revolves around includes data mining by using APIs or building ETL pipelines, data cleaning using programming languages like R or Python, examining data from multiple disconnected sources, and many more. This branch includes several scientific methods, math, statistics, and other tools to analyze and manipulate data on a variety of models and raw data to get information. These are some of the real-life applications of data science.ĭata Science is basically a common term. Recall the time your keyboard gave you auto-suggested words while typing, or you saw an ad of antique clock pieces on Facebook, which you were actually searching on Amazon a few days back. Data is omnipresent and is also a key that fuels the digital transformation of the world by relying on modern technologies like Artificial Intelligence, Machine Learning, IoT, and Big Data, and so on. All these happen since we are living in the age of data explosions. As of 2020, the average data scientist in the US makes over US$113,000 a year. Also, the demand for data scientist job roles is increasing every day. We are aware that Data science, no doubt, is considered as the sexist job of the 21st century. A Fun Activity to Teach the Next Generation Data Scientists about Data Science
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