Why You Need to Learn Data Science Now

Data Science Recruitment Image 1

Data Science is one of the hottest topics in tech this year - with all the buzzwords it's easy to forget what Data Science actually means! This article covers the question, how Data Science will affect your life, what the main skills are needed to get into this hot career.

What does it take to be a Data Scientist?

A data scientist is someone who has strong experience in math, statistics, and programming. They are also experts in domain-specific science fields. Data scientists are analytical problem solvers who are passionate about delivering the right insights to the people who need them.

At certain organisations, data science team members are also expected to work alongside domain experts, help build new relationships internally and with external customers both commercial and government. They also often lead small teams of other data scientists, take ownership over projects and complete projects on schedule. It often requires creativity, analytical thinking, managerial skills, and coding skills. The best candidates are those who can code along with subject matter experts in their fields to derive conclusions through automation.

Data scientists come from many different fields of study, but they all need to know at least one programming language like R or Python. They also need to be able to use statistical software packages like MATLAB or SPSS.

Why should you learn data science today?

Data Scientists are crucial for the following reasons: Data Scientists are hot today.

Data Scientists, Big Data Scientists, Python Engineers, Machine Learning Engineers, Hadoop Engineers, Spark Data Scientists will have a plethora of job opportunities in the coming years due to the increasing need for systems that can analyse data very quickly.

If you have a strong understanding of algorithms and math, this is the right time to learn any programming language. In this meteoric rise of interest, you should start learning data science today if you haven’t yet because the job market is changing rapidly because data scientists are in demand.

Even if you're not trying to get a job as a data scientist, you could be using Python or R programming languages to do statistical analysis for your research, getting started on your own business plan, or building an algorithm for your side project.

What skills are necessary for a career in data science?

There are not a lot of data scientists in the United States, but there is a shortage of statisticians and data analysts too. Statistics and computer science degrees seem to be the two degrees that give graduates the most significant advantage. A degree or certification in machine learning, predictive analytics or statistical programming will also increase your chance of landing a job as a data scientist.

So how do I get started if I want to become a Data Scientist?

There are a number of easy ways to get started. If you have a background in programming take a course in machine learning, if your background is in mathematics, augmented analytics or data analysis start with a course in programming or quantitative mathematics. This should give you a good grounding for going on to complete a degree in both subjects.

How can you apply data science in your organisation?

Data science is moving and transforming all aspects and segments of our society and world, and as time passes, its scope expands. Data science finds itself materializing solutions for healthcare issues; making cities more energy efficient; affecting how we interact with one another daily; and influencing the way we combat climate change.


This blog post has offered up information to help you better understand how important data science is, and what it can do to help increase your success in any business. I hope that this text has helped to answer any questions anyone might have about the subject and has provided them with a good idea of what practical applications data science has.

Data science is on the cutting edge of innovation. Whether it's the use vast amounts of data to predict consumer trends for marketing purposes, or using machine learning to analyse customer sentiment, companies are increasingly turning to specialists to help them navigate the ever-changing world of business. Learning Data Science will be a major factor in upskilling, diversifying, and securing long term employment.

If you would like to find out more about the career opportunities we have available for Data Scientists, please contact me today on Roshi Asghar rasghar@leap29.com

Related Posts: