Data science is turning out to be one of the promising careers of the present generation. Regardless of whatever skills you have garnered over the years here in this article, we will discuss the skills that you need to develop to pursue your career as a data scientist. Big data are in huge demand and this has driven the demand for data scientists as well.
Be it in the field of product development or enhancing customer retention to find business opportunities, organizations are deeply relying on a data scientist to provide fierce competition in the market. So if you are a beginner and do not know what to do to become a data scientist then we ensure you read the article. We have mentioned the top skills here. This will help you to follow this path and make a promising career in the future.
Also Read: How to Become a Good Data Scientist?
Skills That Will Get You Hired in Data Science
If you are eagerly looking to master some of the skills to crack your data scientist interview then read it below. Below are seven such skills that will help you to get a job in the data science industry.
Here are 7 Skills That Will Get You Hired in Data Science:
1. Programming Skills
As you all know that data science is a subject that is IT based, so you cannot ignore learning programming. Regardless of the subjects that you have learned in your engineering, you must ensure that you have good coding skills.
For example, when you will be interviewed on the data scientist role you will be asked about the programming languages you know. Some of the statistical programming languages like python, SQL are very important to crack the interview.
So this is one of the most important skills that you must grasp if you want to back a job as a data scientist. For example, there are many online courses that provide free coaching on python, you can take the help of search online tutorial videos to have a brief knowledge about the programming language. So start your journey with programming language so that you can master the art of programming.
Also Read: 8 Best Online Courses for Data Science
Data scientist means you have to deal with heaps of data and the statistics here come into play. In other words, you must ensure that you have basic knowledge about statistics.
Knowledge about statistical test, distribution, and all must be in your concept. The same situation is applied to machine learning. However, your statistical knowledge will come into play when you will face different techniques. That might have or might not have a valid approach.
There is no denying the fact that every organization whether it is IT or not IT-based, Statistics plays a predominant role in making decisions. However, statistics are much important, especially to the data-driven companies. It helps in evaluating experience and designing them with the help of the statistics.
Also Read: Top 5 Handy SQL Features for Data Scientists
3. Machine Learning is Important
If you are fortunate to bag a job in a large company, for example, Netflix, Google maps, they draw a large amount of data and you are required to be familiar with machine learning here. Some of the important concepts of machine learning that you need to grab are k-nearest neighbor, random forest, etc.
You might argue that these techniques can be deployed using python and R programming language. But the thing here is that it is necessary to figure out when it is the best time to implement the different techniques. This is where machine learning comes into play rather than the programming languages.
4. Concept Surrounding Multivariable Calculus and Linear Algebra
Multivariable calculus and linear algebra are the concepts that are necessary to by heart when you are in a data-driven company. This is because any small improvement in the field of predictive performance can be a big deal for your company.
Make sure you have good knowledge about multivariable calculus and linear algebra and during the interview, you might be asked about machine learning and statistics results as well.
5. Data Wrangling
If you are wondering why data wrangling is important here then read the section carefully. As you will analyze a lot of data, sometimes you will find that it is going to be difficult to deal with those data.
For example, you might have to deal with missing values, inconsistent formatting, and all which is the part of data imperfection. These are subjected to small companies where you are given the position of an early data hire. You will find that the product has no relation with data but it is important for you to know the skill.
6. Data Visualization and Communication
Data visualization and communication are some of the important skills required to become a data scientist. Especially when you are placing your feet with young companies. This is because these small companies make data-driven decisions for the very first time.
The data scientist has a prominent role to make provide appropriate decisions to boost the value of the company. That is all about data visualization, however, communication is also important to factor here.
Communication is important here because with the help of communication you need to describe things like what you found and the techniques. You have to state to your audiences that may be technical or nontechnical. One of the most popular data visualization tool that is getting immense appreciation from the professional is the Tableau.
7. Software Engineering
If you are not experienced and wondering for your first job at a small company then the software engineering field is one of the fields that you need to stress upon. It is one of the most important concepts that you will be asked in small companies.
So from the very beginning, you must ensure you have a strong software engineering background. If you have a good base in software engineering you can deal with data logging and the development of data-driven products as well.
These are the skills that you need to have when you are looking for a job as a data scientist. Pursuing a job as a data scientist is not a cup of tea. You need to have a good concept and skills that are mentioned above. So utilize your time to learn as many skills. You can master it from online or offline to have a successful data science career.
We have researched a lot to come up with the specific skills required to get you hired in Data Science. Likewise, we have presented the article. In case if you face any problem then you can revert back to us. Hope this article will help you to pursue your data science career. If you want us to discuss any other topic then let it snow in the comment section.