Techinical skills
  • Introduction
  • What new skills and tools will data scientists require in the coming years? 
  • There is more to Data Science.
  • Technical Skills
  • Non-technical Skills
  • Takeaway



The Big Picture is constantly evolving and transforming with time. So it’s necessary to keep up with the changes to know what technology or skill will prove more beneficial career-wise in the coming years.

Years ago, data scientists were popularly known as statisticians, and they had a thing or two about the way to collect information from raw data. They knew how to interpret these statistics and how to present them in a language that was easy for laymen to understand.

Scientists of today are required to wear diverse hats. They are expected to be statistically sound and very knowledgeable about a range of tools and technologies that can automate the data collection process, thus removing human error from the equation.

Most big-time companies prefer hiring people with varied skills because they allow companies to get more done in less time. Being able to gather knowledge faster means a company can outpace its competitors.


What new skills and tools will data scientists require in the coming years? 

The answer is simple- machine learning, artificial intelligence, and automation of processes are some of the emerging trends.

When you think about data science, do you envision a combination of statistics, coding, and domain knowledge?


There is more to Data Science.

In this blog post, we will discuss some of the essential skills necessary for taking a data science course. 

There are some prerequisites that you need to consider before leaping into the data science domain. There are both technical and non-technical skills that can help you succeed in this field. Let us dive into the topmost essential Technical and Non-technical skills for Data Scientists in 2021.

It is essential for you to be aware of the non-technical and technical skills that are important in data science. It is not enough to simply have coding, math, and statistical knowledge. You must also have excellent communication skills and some business know-how.


Technical Skills

Capacity to comprehend and interpret business insights

Data science incorporates looking into distinctive information about business issues, for example, client sentiment on Twitter. It is the responsibility of a data scientist to interpret such information and to make actionable insights that will have a significant impact on the business.

It is also important for data scientists to provide advice regarding analytics and model design, which means being able to employ technical expertise depending on the problem at hand. As a data scientist, you must be able to deal with data modelling in an agile way.

Data preparation is a crucial step in data analysis. Data scientists are expected to prepare the data for easy interpretation rather than just discovering and transforming it. Tableau Prep is a handy tool that eases such preparation.

Making use of Google search for data analysis is a no-no. You must be able to crawl the dataset and have advanced queries to get what you need. You can also make use of Google BigQuery, which provides flexible and scalable querying across enormous amounts of data.


As a Data Scientist, you will-

  • Source, accumulate data, analyse, and interpret the information. 
  • Investigate huge volumes of organised or unorganised data.
  • Look at solutions from different perspectives. 
  • Be, at all times, ready and present information in the best structures for dynamic and critical thinking. 


Compose practical and workable code

Programming languages and coding are an inseparable part of organisations. Data scientists need to analyse and process data. Data scientists are expected to be able to work with a large variety of programming languages. If coding is at your fingertips, then Data Science Course will bring endless job opportunities on a platter for you.

If you aspire to work in the booming field of data science, then a Data Science Course will help give you the expertise and skills necessary to succeed.

With this expertise, you will-

  • Manage projects with ease
  • Process and visualise data. 
  • Develop and test new projects with confidence. 
  • Gather and plan information through APIs.


In-depth knowledge of Math & Statistics

The understanding of stats and math is critical in data science. Critical thinking is an invaluable skill. Whether it be solving a difficult problem or finding solutions to benefit businesses, knowledge of data science will help you through every challenge in your life.

These skills will help you- 

  • Interpret important patterns and their relationships with each other.
  • Apply numerical and statistical thinking to real-world problems.
  • Understand the weaknesses and strengths of test models.


Knowledge of programming languages

The rise in AI has been closely tied to the increase in processing power. Programming is a way to communicate with machines. Do you need to be the best in programming? Not at all. But it will help if you are familiar with the latest programming languages.

Most importantly, pick the programming language of your choice. Python, R, or Julia, to mention a few, and know their Pros and Cons. 

  • Python is a general-purpose programming language that has numerous data science libraries and can be used to prototype quickly.
  • R is best for quantitative analysis.
  • Julia offers an innovative solution and is faster than expected. 


Non-technical Skills

Effective communication 

Communicating effectively is important to becoming a successful data scientist. Improving your communication skills will allow you to ensure that decisions are handled appropriately and without any hiccups and issues. A data science course is the perfect promotional opportunity for you.


A strong ability for business judgment 

To be productive in business. It is essential to have flawless judgment power. Without this power, aspiring data scientists won’t be able to see what needs to be accomplished and how prospective moves will affect an organisation. This is important for helping the company you work with in exploring new business opportunities that can help them succeed.


An inquisitive mind

Data science nudges curiosity. You need to be prepared to embrace new ideas and critical thinking in this field. The data science course will alter the trajectory of your life for the better if you have what it takes. 

Curiosity is the fuel for success, be it to explore your career options or any other creative endeavour. All you have to do is ask.



By 2030 artificial intelligence and machine learning will take over every industry, due to which there is an upcoming requirement of Data Science Specialists. Hop on to this rewarding career. Understand and learn how data can be used effectively to transform a business. There is no better time than now to start a career in Data Science. 

Which skills do you think are essential for an aspiring Data Scientist? Comment and let us know!