Children should learn about data analysis and probability as soon as possible. Why? This is because data itself is becoming increasingly important towards improving everyday life and the future, making skills in data analysis highly sought-after in most, if not all, industries. Jeff Weiner, famous businessman and former CEO of LinkedIn (now Executive Chairman), believes in the importance of t data analysis and probability , as he himself stated:

“Data really powers everything that we do.”

90% of enterprise analytics and business professionals can vouch for the importance of data, as they believe that data and statistics are essential in improving their businesses. In addition, LinkedIn named the data science career as one of the top 15 in-demand job paths of 2021, as hiring for these roles grew nearly 46% since 2019.

MathProject has designed a book that enables children to cover 3 years of Data Analysis and Probability in just 30 days, which is now available on Amazon. The book includes:

- 30 days of practice worksheets, a review exercise and answer keys
- Easy-to-follow explanation with examples for parents, teachers and students
- Fun word problems to motivate students to work on their own

Click here to buy MathProject’s Data Analysis and Probability for Grade 3 to 5.

Because of how inherent data analysis is in everyday life, it’s important for children to learn data analysis and probability as soon as they can. Not only will children understand more about the world around us, but learning about measurement and data will also strengthen important life skills like critical thinking and problem solving, helping them achieve a brighter future later on. Below are the top 3 reasons why children should start learning about data and statistics right away:

**1. Children analyze measurement and data all the time**

From the start of their infancy, children use data analysis and probability in order to learn and grow as a human being. Although this development stage is solely for enjoyment or stimulation, they’re able to decipher certain categories of information and organize such data. Just think about a child with a wooden shape puzzle – judging by what they see in front of them, they’re able to use that data to put the pieces where they fit best. Such interaction with that toy is a prime example of children using their data analysis skills, no matter how simple the interaction is. That is why the National Association for the Education of Young Children (NAEYC) recommends the learning of data and statistics, as they believe children can be taught the basics of data analysis through ways that are considerate to their age and cognitive development.

This is seen in a study by The Open University, where they taught 9-10 year olds how to analyze data and statistics through having them obtain data on solar energy and home energy consumption with an aerial survey and smart meter data. As the activities were tailored to their age group, 58% of students thought that the sessions were ‘well thought-out and useful / well organized’, while the other 42% said the sessions were good but wished they had another session to learn more. The researchers concluded that the students were entirely capable of undertaking such tasks in data analysis, accurately interpreting the data and statistics they acquired with enthusiasm. Therefore, young children can certainly tackle data analysis, as long as they are able to recognize and interpret the material the data will be collected from data analysis and probability.

**2. Analyzing measurement and data builds stronger critical thinking and problem solving**

Data analysis and probability encourages a child’s eagerness for knowledge, motivating them to use their critical thinking and problem solving skills.

It starts off with a question; something that specifies the objective of the child’s data analysis like, “How many of my classmates have pets?”. Then comes the stage of identifying the variation in the information presented, classifying such information and sorting them based on shared traits, like finding out 5 classmates have dogs, 4 classmates have cats, and 3 have no pets. Afterwards, the child must represent the data they’ve collected in a way that answers their question. Throughout this process of math data analysis and probability, they’ve learned to be better at skills like organizing information and comparing concepts among groups, which all hone in on improved problem solving and critical thinking!

In this digital age, children are more able to represent their data and findings online. You can easily create data visualizations like pie charts and tally charts using Google Charts, which simplifies the process of collecting and representing data. Utilizing math data analysis and probability tools, along with an inquisitive mind, can efficiently and effectively boost a child’s critical thinking and problem-solving skills, helping them in the long term.

**3. Data Analysis and Probability will be in higher demand in the future**

Having a strong set of data analysis and probability skills is a definite advantage when it comes to landing a successful and high-paying tech job in the future, as there is a very high demand for data science jobs with a very low supply of qualified workers. Management consulting firm Korn Ferry predicts that, by 2030, there will be a global shortage of 85 million tech workers, and this trend is expected to continue. Due to this prediction, parents should start teaching their children valuable skills in data analysis and probability to not only open the doors to high-paying jobs (14% average salary increase), but to also help improve the future’s productivity and economy.

With that said, children can most definitely become proficient in analyzing data when taught at a young age. Kirk Borne, one of the most renowned pioneers of data science, advocates teaching data analysis and probability to children:

“Today, data literacy has become fundamental to every job and should be imparted at the earliest levels of learning, and it should continue through all years of education.”

His statement rings true compared to the high demand for skilled data analysts, as the U.S. Bureau of Labor Statistics reports that there will be a 27.9 percent demand and rise in employment for data science jobs through 2026. This is because data science and statistics are utilized in almost every industry to enhance systems, health, products, services, etc. In fact, there is an estimated astonishing 35% job growth (2019-2029) for careers in statistics, making it one of the fastest-growing professions compared to other occupations. Such rapid growth makes data analysis a much-coveted skill when it comes to the workplace.

### Conclusion

Data analysis and probability is an integral part of the workplace and, in essence, life itself. Since children are able to learn about the principles of data analysis and probability at a young age, the earlier they start, the more successful they can become in their academic journey and beyond.

We at MathProject cultivate a child’s interest in math through data analysis and probability, personalizing their sessions in order to foster their learning styles and strength in math skills. To learn more about our dynamic math programs in Katy, Richmond, Cypress, Sugar Land, Missouri City and/or Hillcroft, or to book a free assessment, contact us today at 1-844-628-4243.

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**Citations**:

5 Stats That Show How Data-Driven Organizations Outperform Their Competition – keboola.com

LinkedIn: Top 15 In-Demand Jobs in 2021 – searchenginejournal.com

Data Management Processes – ion.uwinnipeg.ca

Data in the Preschool Classroom – dreme.stanford.edu

What Children Know and Need to Know about Data – prek-math-te.stanford.edu

How Young Is Too Young to Start Learning Data Analysis? – study.com

Urban Data in the primary classroom – oro.open.ac.uk

Why It Is Important For Students To Get Into Data Literacy At An Early Stage – analyticsindiamag.com

The Secrets of Developing Graphing Skills – thekindergartenconnection.com

Careers in Statistics & Probability – study.com

11 DATA SCIENCE CAREERS SHAPING OUR FUTURE – northeastern.edu

The Data Scientist Shortage in 2020 – quanthub.com