How a Data Science course can help youEducational BooksUpdated on Dec 21, 2018 View more like this | Visit India, UN | Contact digitaltucr |
A data science course can help you become a data scientist. In this article, we will get some insights into how to become a Data Scientist.
Why become a Data Scientist?
It is understood that a whole lot of you want to become data scientists. The question to ponder is why? Now is probably a good time. As per Glassdoor, Data Scientist is the number one job for the last couple of years. Trends for Data Scientist jobs are on the upswing. So the demand is there and it has a good work life balance, has good compensation and it gives you the opportunity to work in a very large variety of industries.
The confusion in Data Science circles
Now in terms of training to be a data scientist, data science is a lot of different things to a lot of people. And that makes it very difficult to understand normally from the side of the person doing the job, but also from the side of the companies that are hiring such kind of people. Also, there is a lot of information out there on how to train to be a Data Scientist. Because there has been a lack of a cohesive definition regarding what the job entails and there has been a lot of confusion out there. We will try to bring some clarity. One question that is often asked is whether you need a PhD. IF you ask one who doesn’t have a PhD says no and the ones who have a PhD say yes. The answer is that having a Graduate degree is pretty important, a PhD is cherry on the top.
Popular Data Science Backgrounds
Some popular Data Science Backgrounds include Mathematics/Statistics (R more common), Engineering (Python more common), Computer Science(Python more common), Natural Science(Python more common), Social Science(R more common), Economics(R more common), Business, Operations Research, Medical Science. R and Python are the most popular languages in the domain of Data Sciences. People coming from different backgrounds have an affinity to one of them based on their past experiences.
Key Topics to Learn
If we were to give you the very basics of what you should learn to become a data scientist, we would recommend that you look for an open source language that is designed for data science. Right now you basically have just two options, Python and R. Python is the recommended one if you are not familiar with any of these languages. R can also work if you know it well. Python does win out over R a little bit if the job markets are to be considered. SAS and Matlab are in use now, but it is not recommended to use these languages and hence should not form part of your coursework. The reason for this is that they are not open source and they cost a lot of money. Getting on the Python bandwagon will ensure that you are following the industry trend which will ensure that you are making yourself futureproof.
Resources
So, go ahead and pick a Data science course that will teach you what you need to get into the job market and put you on the road to a brighter future.
Why become a Data Scientist?
It is understood that a whole lot of you want to become data scientists. The question to ponder is why? Now is probably a good time. As per Glassdoor, Data Scientist is the number one job for the last couple of years. Trends for Data Scientist jobs are on the upswing. So the demand is there and it has a good work life balance, has good compensation and it gives you the opportunity to work in a very large variety of industries.
The confusion in Data Science circles
Now in terms of training to be a data scientist, data science is a lot of different things to a lot of people. And that makes it very difficult to understand normally from the side of the person doing the job, but also from the side of the companies that are hiring such kind of people. Also, there is a lot of information out there on how to train to be a Data Scientist. Because there has been a lack of a cohesive definition regarding what the job entails and there has been a lot of confusion out there. We will try to bring some clarity. One question that is often asked is whether you need a PhD. IF you ask one who doesn’t have a PhD says no and the ones who have a PhD say yes. The answer is that having a Graduate degree is pretty important, a PhD is cherry on the top.
Popular Data Science Backgrounds
Some popular Data Science Backgrounds include Mathematics/Statistics (R more common), Engineering (Python more common), Computer Science(Python more common), Natural Science(Python more common), Social Science(R more common), Economics(R more common), Business, Operations Research, Medical Science. R and Python are the most popular languages in the domain of Data Sciences. People coming from different backgrounds have an affinity to one of them based on their past experiences.
Key Topics to Learn
If we were to give you the very basics of what you should learn to become a data scientist, we would recommend that you look for an open source language that is designed for data science. Right now you basically have just two options, Python and R. Python is the recommended one if you are not familiar with any of these languages. R can also work if you know it well. Python does win out over R a little bit if the job markets are to be considered. SAS and Matlab are in use now, but it is not recommended to use these languages and hence should not form part of your coursework. The reason for this is that they are not open source and they cost a lot of money. Getting on the Python bandwagon will ensure that you are following the industry trend which will ensure that you are making yourself futureproof.
Resources
So, go ahead and pick a Data science course that will teach you what you need to get into the job market and put you on the road to a brighter future.
