Data Scientist is one of the new hottest and upcoming careers today. A Data Scientist is someone who gathers and analyzes with the goal of reaching a conclusion.
How to Become a Data Scientist
There are three general steps to become a Data Scientist:
1) Earn a bachelor's degree in IT, computer science, math, physics, or another related field
2) Earn a master's degree in data or related field
3) Gain experience in the field you intend to work in (ex: healthcare, physics, business)
There are many paths to landing a career in data science, it is completely impossible to launch a career in the field without a college education. You will, at the very least, need a four-year bachelor's degree. Keep in mind, however, that 73% of the professionals working in the industry have a graduate degree and 38% have a PhD. If your goal is an advanced leadership position, you will have to earn either a master’s degree or doctorate.
Types of Degrees
Common degrees that help you learn data science include:
- Computer Science
- Social Science
- Applied Math
Glassdoor reports a salary average of $113,436 while PayScale has their earnings at $93,146. A data
scientist with 9 or more years of experience can expect a salary around $150,000 and those managing teams of ten or more can expect to earn close to $232,000.
The world of data science is always changing so you'll need to always update your skills. Here's a very good article to read on "how to become a data scientist". - - https://www.geteducated.com/careers/how-to-become-a-data-scientist
There are tons of big data in the world that could be analyzed by a data scientist. This career appears to be very lucrative and interesting. I wish you much success on your journey.
Sheila recommends the following next steps:
Tina recommends the following next steps:
TOP TIP: In an open-source world, don't wait on credentials or college course completions to get started. Download a package and a tutorial, find a data set that you are passionate about, explore. For me, I love sports, so pulling down NBA data excites me to spend hours digging in. Find a data set that you love. You can begin to build a resume as you learn.
TOOLS: Everyone uses different tools, so focus on the underlying impact and the sustainability of a language or tool if you are going to invest your time there. If I had to choose, I'd start here:
FREE: Find online courses and dig in. Build models. When employers hire in this space, having a tangible portfolio in this space that you can speak to in-depth is every bit as powerful as an expensive degree from a major university.
As you know, "Data Scientist" is a broad bucket, and can mean one skill or a combination of several skills. I'm a fan of first making sure you know WHY you want to be a data scientist, and letting that guide your path. Be clear about the types of problems that you are passionate about solving. If that requires data acquisition skills, start there. If it requires intense statistical analysis, focus your research there. Other work may be more frontend or data visualization, and that would help inform you about where to start too.
Vance recommends the following next steps:
Data Science courses are offered by many universities & colleges like IIITs, IIMs, Manipal institutes. Many engineering college have this subject as one of the optional in final year.
Data Scientist is the hottest job roles which is being seeked in the market today. All the domains like Banking, Insurance, Telecom, Aerospace, Retail, Utilities are using past & present data for analysis. These days every software company is spending resources & time for developing skills associated with Data Science. Every domain in IT industry wants Data Scientists & in fact they want business growth by investing heavily here. Specially if the question is regarding skills to be acquired for becoming Data Scientist then:
- Companies are using open standard scripting languages. Python application development skills are hot in market.
- Managing database especially big data like Hadoop
- Machine Learning & Artificial Intelligence