What kind of person is suitable for a data scientist? – Introducing aptitude tests

Many people want to become a data scientist, but are unsure if they are really suited for it.

So, in this article, I will explain in detail what kind of person is suitable for data scientists. We will also introduce aptitude tests, so please use the site to find out if you are suitable.

Suitable for data scientist

I will explain what kind of person is suitable for becoming a data scientist. The following are the main four.

1. Good at collecting and analyzing information
2. can think logically
3. good at working with numbers
4. have a patient skill

I will explain each.

Good at collecting and analyzing information

One is people who are good at collecting and analyzing information.

People who are good at collecting optimal information and analyzing things from various aspects based on the collected information are suitable for data scientists.

It is a perfect occupation for those who can steadily gather information and grasp and analyze things from multiple perspectives.

can think logically

The second is the ability to think logically.

A data scientist must be able to think about various things, such as what kind of data to collect, what part of the collected data is necessary, and how to use it, and to be able to explain everything logically.

It can be said that it is suitable for people who can think logically without relying on emotions and intuition.

good at working with numbers

The third is that I am good at handling numbers.

Data scientists, of course, work with data. Data is a field that understands complex information by converting it into numerical values. Therefore, it can be said that it is not suitable for people who dislike just looking at the numbers.

People who are good at working with numbers may be suitable for becoming a data scientist.

have a patient skill

Fourth, be patient.

Data analysis becomes more accurate as the amount and number of analyzes increases. Also, in order to solve a given problem, it may be repeated over and over again through trial and error.

Therefore, patience is required to repeat steady work many times. It can be said that people with patience are suitable for data scientists.

Data scientist aptitude test

I have explained what kind of person is suitable for becoming a data scientist, but there are still many people who are unsure if they are really suitable.

Therefore, we will also introduce a data scientist aptitude diagnosis here. Please, try it.

• People who are suitable for data scientist and people who are not suitable
• Data Scientist Skills Checklist
• Data Learning Guild “Data Scientist Aptitude Test”

I will explain each.

People who are suitable for data scientist and people who are not suitable

This is a site that answers 10 questions and diagnoses whether you are suitable for becoming a data scientist and whether you are suitable, normal, or unsuitable. It takes about 2 minutes.

Data Scientist Skills Checklist

This checklist was published by the Japan Data Science Association. The skill level of each item in the checklist is indicated by the number of ★, and is judged from apprentice level (Assistant Data Scientist) to master carpenter level (Full Data Scientist).

Data Learning Guild “Data Scientist Aptitude Test”

This means that you can receive a diagnosis by adding LINE.

It will diagnose which one is suitable for data scientist , AI / machine learning engineer, data engineer, pre-sales, business analyst, BI engineer.

Attractiveness of data scientists

I’m going to introduce you to the charm of the job as a data scientist.

A data scientist has a variety of appeals, and it can be said that it is a job that many people aspire to. I will introduce the appeal of data scientists from the following perspectives.

Future and demand

The first is that there is future potential and demand.

With the development of AI, there are more opportunities to handle data in various markets, and there is a demand for human resources who not only can handle data but also have business knowledge such as marketing.

It is expected that the market for data handled by data scientists will continue to expand in the future, and it can be said that it is a profession with a future.

In 2019, according to the Ministry of Economy, Trade and Industry’s “Survey on the Supply and Demand of IT Human Resources,” there is currently a shortage of 325,000 IT human resources, and the demand for data scientists is expected to increase. prize.

Job content/Average annual income

And the average annual income is also one of the attractions.

My job is mainly to collect and analyze data and make proposals for solving problems based on the results. It requires not only data knowledge, but also business acumen. Many people feel that the amount of work is heavy and difficult, but it is a perfect occupation for those who want a sense of accomplishment and a rewarding job.

The average annual income varies depending on the job change site, but it is said to be about 6 million to 9 million. This is higher than the average annual income in Japan .

How to become a data scientist

So how do you become a data scientist?

To become a data scientist, you need a variety of knowledge, such as data science and business. Therefore, it is imperative to study.

There are books and schools for those who want to become data scientists to study, so study in a way that suits you.

Skills required for a data scientist

Learn what knowledge and skills you need to become a data scientist. The following are the main three.

• Data science power
• Data engineering power
• business power

I will explain each.

Data science power

Data science skills are the knowledge necessary for data science. Specifically, it refers to basic mathematics, understanding and validating data, and machine learning techniques.

Data science skills can be acquired by learning knowledge about mathematics, data analysis, and AI.

Data engineering power

Data engineering ability is the ability to make data science meaningfully usable, implementable, and operational. It refers to environment construction, programming, IT security, data processing, etc.

business power

Business ability is the ability to organize business issues and lead them to solutions. Data scientists include not only data knowledge and skills, but also task definition and activity management.

It is also necessary to train such management, communication and presentation skills.

Qualifications that are useful to have

There are also qualifications that are useful to have on becoming a data scientist. You can also improve your skills as a data scientist by studying for qualifications.

The following qualifications will be helpful.

• G test
• E-qualification
• Python Engineer Certified Data Analysis Qualification
• Image processing engineer certification
• AI implementation test
• Data Specialist Exam
• AWS Expertise Certification
• GCP Orofessional Data Engineer

summary

In this article, I have introduced what kind of person is suitable for a data scientist and how to become a data scientist.