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We are all aware that data science is, without a doubt, the sexist job of the twenty-first century. Furthermore, the need for data scientist jobs is growing by the day. By 2020, the average data scientist in the United States will earn more than US$113,000 per year. All of this occurs because we live in the age of data bursts. Data is everywhere, and it's also a critical component of the world's digital revolution, which relies on current technologies like IoT, artificial intelligence, machine learning, and big data, etc. Let's look at some ideas for getting your kid interested in data science.
Conduct a brief survey to get a feel for the data gathering process. After the survey information has been analyzed, have your kid go over the pattern detection, visualization, and forecasting sections with you.
Begin teaching your kid how to code using games. There are courses or packages that offer fantastic, entertaining, game-based coding apps that are non-threatening methods to get started coding.
Start talking about how to use databases in actual situations, the large-scale nature of data collecting, and the magnitude of big data. Start thinking about how you can get the data you need from databases.
There are patterns all throughout the place! Inquire about any patterns they notice in their daily lives.
When your kid has discovered a pattern, ask them to make a visual representation of it. Make an effort to get your youngster to explain why finding a pattern is beneficial.
Begin promoting your youngster and asking what may happen next once they've identified a trend. What role does the pattern we observe play in predicting the future?
Youngsters should start with simple SQL queries to grasp extraction.
When you construct a nice graph from the program's data, database extraction is really gratifying. On the internet, you may find a variety of data visualization applications.
Data science may be a difficult task to take on. Every small step forward should be celebrated to highlight your child's growth and perseverance!
If you are prepared to take chances with your child, he or she will be far more likely to learn. If you're willing to put in the time, coding, visualizations, and forecasting will be a lot more enjoyable!
Data Collection
To begin, have your children gather any regularly used object or thing in your home (legos, clothes, leaves, utensils, etc.). Let's take a look at a stack of clothing in the house. Make sure it's a jumble of various sorts and colors of clothing. Separately store items such as onesies, sock-boots, stockings, and jumpsuits.
Data Segregation and Analysis
Request that your children select any sort of textile item of their choosing. For example, one can choose to focus on top wears while others concentrate on bottom wears. Then sort the clothed objects into the various piles on your own. Instruct your youngster to examine why some solid print t-shirts belong in one collection while jeans belong in another, and to take note of the distinguishing aspects of these garments. Then ask them to describe why they chose to arrange all of the garments into separate piles and what criteria they used to do so.
Data Patterns
Begin stacking the objects according to their color codes, such as Green-Red-White-Black-Blue-White-Black-Blue, and so on. After they've completed a pile of 4-5 things each piece, ask them to predict what pattern the following five items will be in. Encourage children to sort clothing by themselves once they've guessed the correct answer. If they don't get it correct the first time, keep guessing until they do, or indicate that they may have already seen the things.
After that, you may add garments with different colors or print patterns and have the kids identify them using the same method as before.
Random Data Elements
Add the previously concealed fabric objects to the pile. After the children have discovered the hidden clothing at random, inquire about the sort of pile they can be joined to. For example, if you have a pair of jumpsuits, can you ask if they will fit in the t-shirt heap, the pants heap, both, or a whole other heap? Let them know that, while a jumpsuit may appear to be distinctive in appearance, it is still a piece of clothing with its own set of functions. Though this process may appear difficult and perplexing to children at first, the more time they are given to practice arranging clothes into distinct heaps, the more they will comprehend it.
Data Forecasting
Ask your children to envision themselves in a circumstance where they will need to wear seasonal clothing such as sweaters, raincoats, woolen hats, and so on. Then, if feasible, add them to the unsorted collection that already exists. Explain to the children why they believe individuals need to wear seasonal clothing and how jumpers and sweatshirts may be added to the t-shirt pile or placed in a new pile. Encourage them to arrange their own clothes until they have everything neatly put into different heaps.
Data Visualization
After the preceding stages have been completed, ask the children to identify the patterns they took while sorting the clothing and how closely they followed them. Draw a graph to show how they completed the activation process, highlighting where they made errors and suggesting ways for them to improve. Keep note of the outcomes in order to promote additional practice trials. They'll almost certainly grasp the entire procedure and get superior outcomes virtually every time.
Data science for kids can be fascinating, game-based, and entertaining! Data science is everywhere in our ever-changing environment. We can use models to estimate fashion, eating, and weather patterns.
Because data is all about patterns, it's critical that we start teaching young people how to interpret data. We'll talk about how to get your kids interested in data science in a non-threatening approach because it's so important in today's economy.
