Published March 5, 2023

As a teacher, you deal with numbers almost every day. For instance, the number of students in the classroom or the total number of students who scored 85% in an assessment, etc.

You’re always making sense out of numbers. Do you know that data analytics is one of the skills you can quickly learn, master, and monetize? Many people, including teachers, don’t know the essence of learning Data Analytics, and how they can tap into the goldmine.

In this article, you’ll learn about the 5 reasons why you should learn data analytics this month.

Let’s get started.

 

What is Data Analytics?

Data analytics can be defined as the process of analyzing raw data to find trends and give appropriate answers to certain questions. 

Data analytics processes and techniques have been automated into mechanical forms and algorithms which work over raw data for the depletion of human beings.

There are different types of Data Analytics. 

Here are the four types; 

 

  • Descriptive data

This is used to describe what has happened over a given period of time. It provides us with information about past events/occurrences, how they happened, and their effect. 

For instance, data could tell you about how the performance, size, interest, or intellect of a set of students has increased or decreased.

 

  • Diagnostic analytics

This gives answers to why something happened. It involves more divergent data input and hypotheses. 

For example, if students suddenly start to reduce in the classroom or their grades begin to drop, you can employ diagnostic analytics to find reasons why it is happening.

 

  • Predictive analytics

This provides insight into what is likely to happen in the future. Even when the future is not exactly predictable, predictive analytics gives you an idea of what is to be expected in the future in order to be informed and prepared. 

This analytics can be referred to as strategic forecasting of the future using past and present events or occurrences.

 

  • Prescriptive analytics

This provides a course of action. After having an idea of what will happen in the future, prescriptive analytics will suggest what to do or which action to take in order to adjust any defect detected in the future and to make future events more improved than the previous event.

 

5 Characteristics of a Data Analyst?

Being a data analyst, you can make informed and strategic decisions using facts and data. Below are some characteristics that make a data analyst stand out.

 

  • Creativity

As a data analyst, you need to be creative. You should be able to solve problems by creating solutions from a new and fresh perspective. Not only that, you should be able to collaborate with your team members and share ideas or knowledge to promote teamwork.

 

  • Curiosity

A data analyst is eager to know everything. This will mean that you’re constantly looking for meaning and finding answers to questions. And willing to unravel mysteries, from one adventure to another. For data analysts, curiosity doesn’t kill the cat, it fuels creativity. It encourages you to find and know more, and provide solutions to problems.

 

  • Strategic perspective

A data analyst digs deep and looks for a strategic perspective. They make sure their ways and ideas are in perfect use and shape.  To be a data analyst, you must be able to think outside the box. Your thinking must be beyond tactical, but strategic, and should favor your goals and objectives.

 

  • Effective communication skills

As a data analyst, you should understand how to transfigure meaningful data into absorbable insights and how to communicate those insights to a wide range of audiences. A data analyst should be able to communicate his findings, ideas, or knowledge effectively and efficiently with his team members, audiences, or clients for better understanding and trust.

 

  • Continues learning

There is no end to knowledge. No matter how high your level of knowledge is, you keep learning.  New things keep surging up, so for you to know, learn and acquire more value, you have to keep learning. A data analyst conducts research to discover new technology, new theories, or ideas. Hence, you should read widely and make connections to stay current in your industry.

 

5 Reasons Why You Should Learn Data Analytics 

A teacher should be constantly learning as this helps you maintain standards, command more respect, and create richer instructional materials. Learning data analytics adds to these gains, here are the 5 reasons why you should learn data analytics this month.

 

1. Makes your teachings more effective

Data analytics makes teaching easier and more effective, it allows you to better understand the learning levels and abilities of each of your students. 

It also helps you to identify the particular needs of each student and make quick decisions on how to advance students’ learning in the most productive and efficient ways. By using descriptive analytics, predictive analytics, and prescriptive analytics, you can make tons of valuable decisions about your students. This aids your teachings, engaging students and improving their understanding. 

 

2. Helps you acquire problem-solving skills

Data analytics allows you to know how to persevere with your students, it provides you with more information about them. When you know more about your student, you have an idea of their academic and behavioral strength, and what they’re capable of doing. This lets you find possible solutions to avert or tackle problems that may occur in the classroom due to students’ behavior or characters. 

 

3. Allows you to gain a high demand skill 

Data analytics is in demand everywhere, companies and educational institutions are in need of Data Analytics professionals. Data analytics can easily provide you with job opportunities without stress.

A survey conducted by Nimbus Ninety also shows that data is taking over, more than anticipated. It shows that data analytics tops the list of technologies to look out for in the near future. Teachers with this opportunity will find it easier to switch to a better working condition and environment if their current one is not satisfying.

 

4. Provides you with varieties of skills

Data analytics comes with other useful skills to adopt. As a data analytics professional, you will understand research, communication, problem-solving, teamwork, and pay attention to details.

Data Analytics provides you with the ability to analyze and put data information to good use which makes you discover ways to generate more earnings. A teacher with data analytics skills will find it useful in school and in their daily life. 

 

5. Opens freelancing opportunities

As a teacher, you can diversify your work. And work as a teacher as well as take on other jobs to increase your income even if you still teach full time

Data analytics gives you the opportunity to become a well-paid freelancer or consultant for big firms, you won’t be tied down to being a teacher only. Now that you know the reason why you should learn data analytics let’s see how you can learn it.

 

Conclusion

Data analytics makes teachings more easier and effective for teachers, it also provides you with other benefits and opportunities. Aside from these, it helps you to build creativity, effective communication, and strategic perspective. It’s surely a valuable skill for everyone.

You can get started by teaching yourself data analytics in 30 days using this Crash Course.