Top Skills to Make it to the Top as a Data Scientist

Data, as a term, has come to be used by a lot of people these days. However, what truly gives a definition and use to data is data science, who is practiced by a professional called Data Scientist. Each of these terns, data, data science and Data Scientist have a very important role to play in every organization, irrespective of its size and nature.

A Data Scientist makes the optimum utilization of data for understanding and explaining the phenomena that an organization is surrounded by, leading them to take better decisions for more productivity. When you set out to work as a Data Scientist, you will find yourself being analytically satisfied, intellectually challenged and in the forefront to uncover new advances in technology.

Data Scientists are more in demand today than ever and the rate is getting higher with time. Since these professionals are extremely important to organizations, no doubts are left as to why you should become one. Thus, the only questions that remains is regarding the top skills to make it to the top as a Data Scientist.

But first, what does a Data Scientist do?

 

What does a Data Scientist do?

The job description of a Data Scientist is easy because they are supposed to determine the questions which an organization should be asking and help them find an answer to those questions with the help of data. Their job, however, is not as easy as the description. The main reason is that a Data Scientist has to do a lot of things and develop a lot of models to get ahead towards their goal fulfilment.

Here are some of the tasks that a Data Scientist might do in an organization –

• A Data Scientist might create data models and algorithms to forecast outcomes
• They communicate recommendations to other departments and senior members
• Finding trends and patterns in a given dataset to uncover insights is a major part of their job
• Staying on top of innovations in the field of data science
• A Data Scientist employs machine learning techniques for improvement in the quality of the product offerings or the data
• A Data Scientist plays a huge role in deploying data tools including SQL, Python, SAS or R in data analysis

 

In order to get started as a Data Scientist, you need to polish your skills and work on your knowledge. Hence, one of the first decisions to make is which institute to get enrolled with for your Data Science training and certification. While the answer to this question is not an easy, the answer is here itself. Grras Solutions is amongst the best institutes in the country for all top IT course trainings and certifications and thus, is also the best fit for your Data Science certification training.

If you wish to know more reasons as to why enrolling with Grras Solutions is the best decision for you today, then you can visit our Data Science page on our website. It is there that you will get more information about the course and how we help our students become the best in the field and stand out from the crowd.

Let us continue this blog with the top skills to make it to the top as a Data Scientist in India!

 

Top Skills needed to become a Data Scientist

Here is a list of the top skills that will help you become a top Data Scientist in India. Let’s begin getting to know the skills one by one –

 

• The Right Qualification

If you are someone who is looking to become a Data Scientist, then we must warn you that Data Scientists are mostly highly educated. And when we say that, we mean that most of them have a master’s degree and a lot of them also have PhDs. In addition, a strong education background is one of the must haves to ensure that the Data Scientist is capable enough.

However, you need to have a bachelor’s degree in either social sciences, statistics, physical sciences or computer science. These courses in themselves give you a brief set of skills and knowledge that you need to begin your journey.

But this qualification is not enough. Enrolling with the right training program from Grras Solutions will set you apart. You need guidance when it comes to such grand fields and thus, it is here that you will find all the details and the path structure to follow for success.

 

• Python Coding

One of the most common coding languages you will see being required for the role of a Data Scientist is Python. However, you will also notice the presence of other notable languages such as C, C++, Java or Perl.

Python has such a widespread usage because of the wonderful features it has to offer and is mostly loved by all the Data Scientists out there.

Python is a highly versatile language and thus, can be used for most of the steps involved in the process of Data Science. Python also allows importing of SQL tables into any code as well as take multiple formats of data. Data Scientist can create datasets with the aid of Python and allows the user to find any type of dataset on Google.

 

• R Programming

When it comes to beginning your career as a Data Scientist, it becomes essential to start your journey by gaining in- depth knowledge and expertise in at least on analytical tools, most often chosen of which is R. The main reason for this is that R has been specifically designed to fit the needs of Data Science. In fact, R can be used to solve most of the problems you encounter in Data Science.

But the thing is that R has a pretty steep learning curve. R is specifically difficult to learn if you have already mastered another programming language because of the contrast in their fundamentals.

 

• SQL Database/ Coding

Yes, Hadoop and NoSQL have become integral components of the world of Data Science, but a Data Scientist is still expected to know how to write and execute complex queries in structured query language or SQL. This programming language can help you out in a lot of things including adding, extracting and deleting data, along with carrying our analytical functions and transforming database structures.

Since SQL is specifically designed to help Data Scientists in communicating, working and accessing data, thus you need to be proficient in it. SQL offers concise commands which helps the Data Scientist in saving time as well as lessening the amount of programming that need to be done to perform difficult queries.

With knowledge on SQL, you will be able to get a better understanding of relational databases as well as boost your profile as a Data Scientist.

 

• Machine Learning & Artificial Intelligence

Today, most of the Data Scientists are not highly proficient in machine learning. Thus, this is your chance to stand out because with machine learning knowledge comes the knowledge about logistic regression, decisions trees, and supervised machine learning, amongst others. All these skills will give you better problem- solving skills related to Data Science that are based on predictions made by organizations outcomes.

Being competent in machine learning skills such as unsupervised machine learning, supervised machine learning, computer vision, survival analysis, adversarial learning, natural language processing, reinforcement learning, recommendation engines, and outlier detection will give more a way broader road of benefit when compared to your competition.

Since Data Science is all about working with large amount of data sets, having machine learning and artificial intelligence knowledge will prove useful.

 

• Apache Spark

One of the most rapidly becoming popular big data technology throughout the globe is Apache Spark. Just like Hadoop, Apache Spark is also a big data computation framework, with the only difference being that Spark is definitely faster than Hadoop.

Apache Spark has been designed keeping Data Science in mind as it runs its complicated algorithm at a must faster pace. It saves time by disseminating data processing when it comes to dealing with a humongous pit of data. Also, it aids in handling complex unstructured datasets.

The prevention of loss of data can also be made possible via Apache Spark.

 

• Soft Skills

Whatever field you choose to step into, be it technical, medical, business related or anything else in the world, soft skills have become a key to rise to the very top. Or rather, it has always been a key but today, people realise its value and thus, work on them.

Intellectual curiosity, business acumen, good communication skills, impeccable listening skills, and teamwork are only some of the key soft skills that you need to start working on at the earliest. Each of these skills and more will help you getting further ahead in your goal to become a competent Data Scientist, just as much any technical skill will.

At Grras Solutions, you will also get the opportunity to work on various soft skills that are much needed when it comes to getting to the top as a Data Scientist.

 

Conclusion

You need to begin your journey with the best today and thus, Grras Solutions is here to keep you out of the dilemma. Enrol now with our Data Scientist training and certification program because this is the beginning to a great journey ahead