In 2012, Harvard Business Review published an article in which they called Data Scientist “Sexiest job of 21st century”, this statement stands undebatable to this date. Since the embellishment of Data Science, this field has developed exponentially and has changed the industry for the better. Data Scientist is one of the hottest career choices and provides numerous chances of growth. Learning Data Science with Python is one of the smartest ways of diving into this career. In this article, we will cover the procedure of becoming a Data Scientist.
Who is a Data Scientist?
Data Scientist is a specialist who collects data that might be beneficial for the organization, draws valuable information and insights from it, and then plots those insights visually in front of the organization. They look for the hidden patterns and structures in data to yield important information. They structurize and analyze large masses of data to provide it with some meaning.
Who is a good candidate for being a Data Scientist?
Anyone who wishes to pursue his or her career as a Data Scientist must be curious by nature. Someone who is driven by a powerful zeal to learn and know diverse datasets. A determined and organized person is a perfect fit for being a Data Scientist.
How to Become a Data Scientist?
Following are the three broad steps for becoming a Data Scientist:
- Get a bachelor’s degree in the field of Information Technology, computer science, math, physics, or any other similar domain.
- Get a master’s degree in data or a similar domain.
- Gain expertise in the area you plan to work in (healthcare, science, or business organizations).
Academic Requirements
You will, at least, require a four-year bachelor’s degree. If your aim is a superior administrative status, you will have to get either a master’s degree or a doctorate’s degree in this field.
Some institutions provide data science degrees. This degree will provide you with the fundamental skills to process and analyze a complex set of data. It will include lots of technical information linked to statistics, computers, analysis techniques, and much more. Learning Data Science with Python is a better approach for understanding this concept.
Following is a list of some general degrees that help you learn data science:
- Computer science
- Statistics
- Physics
- Social science
- Mathematics
- Applied math
- Economics
By the end of one or more of these degrees, you will possess a broad spectrum of abilities that apply to data science. After gaining these degrees, you can go for a specialization program for a particular industry since all organizations nowadays require the help of data science.
Data Scientist Jobs
Data scientists work in many diverse environments, but most of them will work in office-like environments that permit people to work together in teams, collaborate on projects, and communicate effectively. The speed and environment will mainly depend on the company and the industry you work in (i.e. healthcare, business, or science).
Conclusion
Data Science is one of the trendiest career domains nowadays. It forms the base for a profession that gives immense growth. There are a certain set of skills required to become a Data Scientist. Learning Data Science with Python is one of the smartest ways of diving into this career. This industry has a bright future.
