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Where to chose, if I wanna be a Data Scientist?


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Molly’s Answer

I would encourage you to look into the accounting industry! Firms are hiring more and more data scientists as we begin to use new ways to harness and bring big data to life for our clients.

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Sheila’s Answer

Hi Akira:

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
  • Statistics
  • Physics
  • Social Science
  • Mathematics
  • Applied Math
  • Economics

Salary

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

Sheila recommends the following next steps:

Read the article on "how to become a data scientist" - - https://www.geteducated.com/careers/how-to-become-a-data-scientist

Shelia's response was fantastic. North Carolina State University offers a Masters in Data Science. Below is the link for additional details. https://www.csc.ncsu.edu/academics/graduate/degrees/ds.php Carmita Bass

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Tina’s Answer

Hi Akira! There are some great answers already; here are some of my thoughts. Data science in business is all about making decisions - whether it's making better decisions, or making good decisions faster. To get practice in this, you could identify a field that you are very interested in -- that you know a lot about -- and where there is plenty of data. Depending on your interests, there are many publicly available datasets to find. Start thinking about the kinds of decisions that people in this field need to make. What outcomes do these decisions affect (winning games, increase in sales, decrease in illness, etc.)? What data could support those decisions? Can you use the data you have to predict the decisions that people are actually making? Can you use the data to predict the outcomes of those decisions? As you start to delve into this, you may realize you are missing a skill that you need in order to move forward. That's great - you can set out to learn this skill, now with a purpose in mind. Share your findings (and the thinking that brought you there) with others, find out what they can contribute. What questions do they ask? Does that make you realize there is something else you need to learn?

Tina recommends the following next steps:

Explore the decisions people are making in a field that you are passionate about.
Start trying to support or automate these decisions (you can do this on your own, as a simulation).

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Vance’s Answer

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:

  1. SQL
  2. Python
  3. R
  4. Tableau

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:

Learn to build models, document your work, and prove to yourself that you can solve complex problems.

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Abhinay’s Answer

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:

  1. Companies are using open standard scripting languages. Python application development skills are hot in market.
  2. Managing database especially big data like Hadoop
  3. Machine Learning & Artificial Intelligence

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