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Top 5 reasons to become a Data Science Professional

Data is the new gold and it is changing the way we live. It’s not just about how many data points there are, but how they are being used.
The evolution of data has been going on for a long time, but now it has reached a critical point where the data is being used to make decisions that affect our lives in ways we never could have imagined.
One of the most important trends in data evolution is that more and more people are gathering their own personal data and using it to make decisions about their lives.
It's not uncommon to see people change careers in today's world. In fact, the average person will change careers at least four times throughout their lifetime.
The skillset required to be a successful data science professionals involves a lot of hard work and dedication to learning new skills - so if you're considering a career change, it may be worth looking into this option!
Here below are the reasons I would include in my context:

•Help Your Company and Planet with better decisions and plan
•Growing demand in the global market
•Skills that are trained and utilized at the workplace
•High pay
•Diverse Career Growth Options

Help Your Company and Planet with better decisions and plan
The job of a data scientist is to help companies make better decisions with the correct information. Data science professionals use a variety of techniques such as predictive analytics, machine learning, and artificial intelligence. They help companies make better decisions by analyzing the data they have and providing insights into what the future may hold.
A data scientist’s work has a huge impact not only on their company but also on our planet.

Growing demand in the global market
The demand for data science professionals is on the rise. They have a huge impact on the success of various businesses and their operations.
There are many reasons why data science professionals are in such high demand. Some of them include:

- The need to collect, process, and analyze increasing amounts of data
- The need for more sophisticated predictive modeling that can help companies make better decisions
- The need for people who can combine technical expertise with the ability to communicate effectively with
business stakeholders and non-technical audiences
- The need for people who can work well on teams, balancing analytical skills with interpersonal skills.

Skills that are trained and utilized at the workplace
Although online data science courses could train the skillsets below needed to be worked up to an advanced role in data science:

• Analytical skills

• Technical skills:
o Data mining and analysis
o Statistical analysis
o Machine learning
o Data visualization
o Database management

• Soft skills
• Domains/Business knowledge
• Management skills

As the data science field constantly changes, the problems still waited to be solved are more complex in various. Investing more time to strengthen skillsets to decide the direction or the industry you will take in the next.

High pay
Data science professionals help organizations identify the problem and provide solutions on a daily basis. Job prospects are good, but there are limited opportunities in some areas. The variation in salaries greatly depends on your own experiences and the type of industry you work in.

Various Career Growth Options
There are many different types of data science professionals - a few examples include machine learning engineers, data analysts, quantitative analysts, and statisticians. Data science professionals are typically analytical thinkers who have experience with statistics, coding, mathematics, and computer programming. However, data science’s role is not limited to just one job or industry. They can work as a data scientist for a technology company, a data scientist for an advertising company, and even a data scientist for an insurance company.

Written by: Xiao Tong Loh

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