Data science is currently the most talked about field, and data scientists are in dire need of it. Looking at all the interesting applications, it makes sense that data science is a very important career. Becoming a data scientist is a fascinating new career that combines knowledge of information’s, business wisdom and curriculum development.
Given the vast amount of data available on our Smartphone’s, desktops and Internet of Things devices around the world. Governments and private businesses are interested in gaining insight into the process of collecting their vast data. In this article, I will share some steps that will help you in your mission to become a data scientist.
- 1 What is a Data Scientist?
- 2 Five simple procedures to become a data scientist
- 3 Qualification of data scientist
What is a Data Scientist?
A data scientist is someone who develops and makes intelligible data to enhance or adjust overall business intentions. Data scientists present data from its raw state in a regularly “rotating” way to present it in a clean, explainable way.
Data scientists work in great deal of information, computer technology, or artificial intelligence companies. However, this type of organization does not require experience as long as you need to become a data scientist. Data experts, business process analysis and creators are different professions that data scientists will work with to meet their organization’s goals.
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Five simple procedures to become a data scientist
- Data science needs to be a modern sense of mathematical procedures and a general awareness of popular programming languages.
- Structured Query Language is a domain-specific language used to extract data from a database. SQL is not as complex as most programming languages but is a must learn for anyone working hard with large datasets and analytics.
- Data science is fundamental to machine learning, and for that reason, data scientists need to demonstrate and strengthen their knowledge of machine learning algorithms, AI architecture, as well as statistics.
- Knowing the basics of identifying trends within data is essential to becoming a successful data scientist.
- Although many statistical scientists feel confident in their abilities, some need guidance and training with the latest algorithms and tools. Taking online data science boot campuses is a common practice among today’s data scientists in their quest to strengthen the foundations of math and programming.
Qualification of data scientist
Choose the educational path
Without an advanced degree, it is almost impossible to acquire the skills required for employment in this field. Although more and more data scientists are choosing a master’s degree, one in four professionals in this field has less than three years of experience.
Select a concentration zone
There are many different paths that can lead you to a lucrative and rewarding career as a data scientist. Most start at the undergraduate level, with a bachelor’s degree in data science that can lead to employment as a statistician, management analyst and market research analyst.
Data science candidates typically require a combination of Python and R programming, as well as MySQL, and machine learning / AI algorithms.
Communication, presentation ability, and multi-purpose collaboration are all soft skills that recruiters look for candidates for data scientists. Data scientists are a resource between business goals and product strategies. Recruiters are always on the lookout for data science candidates who can translate big data into a story used in the rest of the organization.
Data scientists interpret data. Demonstrating a deep understanding of a company’s business goals, and how it can be articulated through big data – is a plus for recruiters to hire data scientists.
Is Data Science a Good choice of a profession?
The demand for data scientists is high, and the world is producing massive (and growing) data every day.
What is the Professional growth of a data scientist?
Many data scientists actually start their data careers as data analysts, and then enter the role of data science through internal promotion and job changes. Experienced data scientists with managerial skills can go into director data science as well as director and executive level roles.
What is the salary of a data scientist?
Salary is based on different place and level of experience of the applicant. On average, however, In the United States by 2020, the average salary of data scientists is more than$130,000 per year.