Career in Big Data and Analytics
Big data can sound like just another buzzword that’s here today and will be gone tomorrow, but it’s actually at the core of a revolution in how information is gathered and used. It refers to amounts of information much greater than we had the ability to gather and make use of in the past because we didn’t have artificial intelligence to help us. Now, AI can sift through vast reams of data and make something coherent out of it. This in turn can be used to market to customers or in many other ways. Big data in healthcare can help identify patterns among patients that might not have been visible before or that may improve delivery of care. This is a fast-growing field with a lot of potential, and it’s a great career path for anyone who likes math and computers.
Your Bachelor’s Degree
Your first step should be to get your bachelor’s degree. A few institutions may offer a degree in data analysis, but many will not. A degree in a related area, such as statistics, math or computer science can all help prepare you. You may be concerned about paying for your degree, but if you don’t have the savings to cover the costs, and most people don’t, there are also grants, scholarships and loans. You may also be concerned about paying back student loans, but jobs in this field tend to be in demand and well-paid. You can find out about your options to refinance student loans after you graduate or even later, which can change your payments, your interest rate or both. This may reduce how much you are paying overall.
Know Your Options
There are different jobs within this area, and you should start learning about what they are to help you decide what direction to take with your classes and internship opportunities. As an analyst, you would gather, organize, and analyze information, but the skills you need to work as a data scientist differ, here you would create the methods for doing that organization and analysis. The latter is a position that you would probably work your way up to instead of going into as an entry-level position. You might also focus your analysis in certain areas.
A logistics analyst would specifically look at issues around supply chains. In business systems, you would examine IT processes and other processes within a company and see whether they could be improved. Working in marketing would mean looking at customer data and making predictions about how to better understanding customer behavior and market to them. A more complex specialization would be business intelligence analysis, which might even require an MBA at some organizations. This would involve looking at industry trends and patterns and coming up with strategies based on that. As a machine learning engineer, you’d work on the programming side of things, creating the systems that allow the data to be gathered and the analysis to take place.
Get Internships
Getting internships is a great way to get your foot in the door and start learning more about the different jobs available and skills sets that you’ll need for them. Internships can be competitive. Keep in mind that if some reason you can’t get one, a part-time job can often serve the same purpose. Sometimes, the jobs you’ll be asked to do in internships are not particularly exciting or challenging, but you can show your willingness to work hard, which could lead to consideration later for a full-time position or to strong references.
The Power of Networking
Part-time jobs and internships can also be networking opportunities, and this can be one of the most valuable skills of all. Jobs are often filled via networking, and you can start networking while you’re still in school. Online, look for leaders in your area and in the broader fields of artificial intelligence, big data and analytics. Offline talk to your fellow students and professors. Find out if you are eligible to join any professional organizations or if there are alumni mentoring programs.
Soft Skills
These positions require a lot of technical skills, but soft skills are also needed for success. You’ll need to be good at communication and problem solving. Sometimes, this can mean conveying very technical findings to people who do not have much of a technical background at all. Curiosity will keep you digging to find answers, and adaptability will help you think on your feet and pivot when things change. You’ll probably work as part of a team, so good teamwork skills are also important.
The post Career in Big Data and Analytics appeared first on Analytics Insight.
Big data can sound like just another buzzword that’s here today and will be gone tomorrow, but it’s actually at the core of a revolution in how information is gathered and used. It refers to amounts of information much greater than we had the ability to gather and make use of in the past because we didn’t have artificial intelligence to help us. Now, AI can sift through vast reams of data and make something coherent out of it. This in turn can be used to market to customers or in many other ways. Big data in healthcare can help identify patterns among patients that might not have been visible before or that may improve delivery of care. This is a fast-growing field with a lot of potential, and it’s a great career path for anyone who likes math and computers.
Your Bachelor’s Degree
Your first step should be to get your bachelor’s degree. A few institutions may offer a degree in data analysis, but many will not. A degree in a related area, such as statistics, math or computer science can all help prepare you. You may be concerned about paying for your degree, but if you don’t have the savings to cover the costs, and most people don’t, there are also grants, scholarships and loans. You may also be concerned about paying back student loans, but jobs in this field tend to be in demand and well-paid. You can find out about your options to refinance student loans after you graduate or even later, which can change your payments, your interest rate or both. This may reduce how much you are paying overall.
Know Your Options
There are different jobs within this area, and you should start learning about what they are to help you decide what direction to take with your classes and internship opportunities. As an analyst, you would gather, organize, and analyze information, but the skills you need to work as a data scientist differ, here you would create the methods for doing that organization and analysis. The latter is a position that you would probably work your way up to instead of going into as an entry-level position. You might also focus your analysis in certain areas.
A logistics analyst would specifically look at issues around supply chains. In business systems, you would examine IT processes and other processes within a company and see whether they could be improved. Working in marketing would mean looking at customer data and making predictions about how to better understanding customer behavior and market to them. A more complex specialization would be business intelligence analysis, which might even require an MBA at some organizations. This would involve looking at industry trends and patterns and coming up with strategies based on that. As a machine learning engineer, you’d work on the programming side of things, creating the systems that allow the data to be gathered and the analysis to take place.
Get Internships
Getting internships is a great way to get your foot in the door and start learning more about the different jobs available and skills sets that you’ll need for them. Internships can be competitive. Keep in mind that if some reason you can’t get one, a part-time job can often serve the same purpose. Sometimes, the jobs you’ll be asked to do in internships are not particularly exciting or challenging, but you can show your willingness to work hard, which could lead to consideration later for a full-time position or to strong references.
The Power of Networking
Part-time jobs and internships can also be networking opportunities, and this can be one of the most valuable skills of all. Jobs are often filled via networking, and you can start networking while you’re still in school. Online, look for leaders in your area and in the broader fields of artificial intelligence, big data and analytics. Offline talk to your fellow students and professors. Find out if you are eligible to join any professional organizations or if there are alumni mentoring programs.
Soft Skills
These positions require a lot of technical skills, but soft skills are also needed for success. You’ll need to be good at communication and problem solving. Sometimes, this can mean conveying very technical findings to people who do not have much of a technical background at all. Curiosity will keep you digging to find answers, and adaptability will help you think on your feet and pivot when things change. You’ll probably work as part of a team, so good teamwork skills are also important.
The post Career in Big Data and Analytics appeared first on Analytics Insight.
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