Making a transition into data science is difficult just like in any other profession. Data Science is a comparatively difficult field. This is the case for everyone, no matter whether you are from a data science background or not. But even if you will make the transition to a field that is
not so difficult, you are going to find that hard as well.
You see, as human beings, it is our tendency to find those tasks hard that we do for the very first time and when we continue to do the same tasks again and again constantly at repeated intervals then we do not even feel as if we are working, it just automatically happens subconsciously.
Well, putting that aside, through this blog post, we are going to inform you about the challenges you are going to face while making a transition into data science and also the ways to overcome those challenges even if you are not from a data science background.
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Would it be easy to transition to data science if you are not from a technical or data science background?
If you are seeking a one-word answer about whether it would be easy for you to transition to the data science field if you are not from a technical or data science background then the answer would be a clear NO.
It will be difficult. In fact, it is going to be too difficult. So difficult that somewhere in the beginning period you will even think of quitting your goal of transitioning into data science and picking something else or say, going back to the field where you were working earlier. But what we want you to know is that that initial distraction is temporary. Taking the first step is usually the most difficult step.
In the current times, there is no one in the world who could proclaim that he wanted to become a data scientist or make a career in the data science field since his childhood because there are 99% chance that when he was a child he wouldn’t even know what data science is in the first
place.
The reason we are telling you this is to let you know that no one in this world currently has the aim of becoming a data scientist.
Everyone has first attempted their initial career choices and then made a transition into data science which means that they also have gone through the hard process of making the transition into data science and got successful.
And there are many people in the world like that. So if they can make a transition to data science and become successful in it then you can do it too.
How to overcome challenges when you transition to data science even if you are not from a data science background?
Lack of communication skills | Transition to data science challenge No. 1 There is a solid reason why we have put lack of communication skills in the number one position. Data Scientist Background requires you to possess some level of coding skills and it is evident that several amounts of coders in this world are introverts.
And even if they are not by birth, they become introverts gradually by spending too much time in front of the screen, writing lines of code, and not interacting with the world.
If you lack communication skills and want to write the lines of code doing web development or software development then surely you are going to thrive because doing such work does not require you to possess some exceptional communication skills but when it comes to data science background then the scenario is a little bit different.
Data Science Background requires you to have strong communication skills because as a data scientist, you will need to analyze the data and inform the results to the decision-makers and stakeholders in such a way that they understand and come to terms with everything that you
have to say.
As you have studied data science that is why it is uncomplicated for you to understand complex data science background terms but your clients won’t be knowing anything about that.
So, you need to make them understand the basis of your analysis in an easy-to-understand language. Just to let you know, it is not easy as it sounds. The solution to this challenge is quite obvious. Practice.
You see, only a handful of people in this world are born with natural communication skills, and the remaining all develop them. As you probably know, hard work always beats talent.
You can put your practice of speaking effectively to your team members on a regular basis by making them understand complex terms in easy-to-understand language or you can just join a data science course where the instructors will teach you about speaking effectively as well.
Programming and Mathematics | Transition to data science challenge No. 2
There are also people who would love to transition into data science but due to their lack of
interest in programming and mathematics find them unable to do so. You see, in a data scientist background, you are working in the Artificial Intelligence field.
And for you to understand artificial intelligence algorithms you need to understand the related mathematics to it as AI is typically based on mathematics only.
You take out the concepts with the help of your mathematics, statistics, and analytical skills, and then to make those concepts tangible you use your programming skills. The main programming languages that get used worldwide are R and Python.
The problem is that not everyone has a strong hold on both mathematics and programming skills. Some people are good at mathematics while others have a hold on programming.
Mastering both of them is something that not everyone could do.
Although the mathematics that gets implemented in data science background is not above the average level, still the concepts sometimes get difficult. Also, you need to unlearn and learn new things in a data scientist background role.
For example – Earlier, the most commonly used language in data science background was Python but it is R. We are not saying that python does not get used anymore, it is just that R is more widely used nowadays.
The solution to this is again obvious, to join a data science program that teaches you the fundamentals as well as the details of all the necessary languages that you need to learn to be an efficient data scientist who is from a data science background and whenever a new update
emerges, they must be willing to teach you that as well without you paying them any extra fee for it.
Conclusion
Making a transition into data science is not as easy as it seems to be. But as we have said earlier, nearly all the people who are currently working in the data science background have done it, and if they can do it then you can too.
The simplest and the most effective way to make a transition into data science is by remaining in your daily job and opting for an online data science course in your free time. The reason why you should prefer online is that by being in a regular job, you would probably
find it difficult to go to a physical data science institute.
And if you will choose an online data science course to work in a data science background that will teach you effective communication plus will give you lifetime support free of cost then it would be a cherry on top for you. If you will choose to enroll in Skill Shiksha’s data science course, you will get both things plus added bonuses. Dial +91 8750505131 to enroll in Skill Shiksha’s data science course.