Data Scientist vs Data Analyst: What’s the difference?
By 2020, there will be over 2.7 million jobs requiring data skills. Not 2700. Not 27,000. 2.7 million jobs in the next year.
To put that in perspective, there’s only going to be 300k jobs in mechanical engineering.
LinkedIn and Dice.com reported that jobs in data are increasing by about 30% each and every year.
To add to that, the Bureau of Labor Statistics reported that the average job growth is 1% while the average job growth for data skills is 30%.
That means that jobs in data are growing 30x faster than the average!
In this article, we’re going to use all of the information shown above to determine the differences between a Data Scientist versus a Data Analyst.
Let’s go over the numbers!
On average, a Data Scientist will make about $120k/year while a Data Analyst will about $70k/year.
“Why wouldn’t you just become a Data Scientist then?”
Well, most Data Science positions require a graduates degree in either
- Data Science.
- Or something related to the practice.
Keep in mind that most college students will go into some sort of debt after they obtain their degree, so Data Scientists don’t really make $120k/year.
There are other methods of learning Data Science such as taking online courses, however, the subject itself is abstract and difficult to teach yourself.
On the flip side, many Data Analyst positions don’t require a specific degree. In fact, some employers won’t even care if you have a degree as long as you have the skillset!
Though, there is a preference for those with either math or engineering backgrounds since the position is number based.
If you’re someone who has studied a degree that hasn’t been helpful in a profitable job search, don’t go back to school for another degree! Instead, just learn the skills of a Data Analyst.
You could be making as much money as a mechanical engineer or a nurse without having to go through difficult classes.
“Where should I learn the skills of a Data Analyst?” Let me answer that for you.
Where To Learn These Skills
In order to become a Data Analyst, it’s best to study it on your own for a few months to learn the skillset.
To do this, I’d recommend Data Camp!
DataCamp is practically a steal! All of the products they have are practical ways to learn
- Data Science
On top of all of the content DataCamp provides, they also offer recommended courses (especially for those just starting out).
If you’re interested in becoming a Data Analyst, check out DataCamp by clicking here!
Can A Data Analyst Become A Data Scientist?
Simple answer, no.
From a practical standpoint, Data Analysts in a large company will be working in the business department making reports. Those reports are used to help make better company decisions.
In this same company, the Data Scientist will be working in the engineering department. Their job is to create algorithms that automate certain functions of the business, often using machine learning.
The best way to get into Data Science is to start off as a Junior Software Developer. This way, you’ll be working in the engineering department surrounded by Data Science.
Data Scientist VS Data Analyst: Which Should You Pick?
With Data Science, you’ll create using machine learning. The most familiar machine learning that the majority of us know is Amazon.
If you’ve ever shopped on Amazon and got recommended products that you need, that’s machine learning.
Another example of machine learning would be Netflix. If you get recommended shows that you’ll more than likely like, that’s machine learning.
With Data Analytics, you take bulks of data and turn them into beautiful spreadsheets, graphs, and charts. If this is something you find enjoyable, you’d make the perfect Data Analyst!
For example, if you track how much money you spend through a spreadsheet, or how many calories you’re taking when on a diet through a spreadsheet, you’re the perfect fit!
If you’re looking to start your career in either Data Science or Data Analytics, I’d recommend DataCamp.
It’s super affordable and what you get out of it is unmatched anywhere as far as I’ve seen. It has everything you’d need to know about Data Science and Data Analytics!