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Data Science Certifications and Skills

Published on 15 September 18

Termed as the ‘sexiest job of the 21st century’, data scientists have become the vanguards of a new generation of thinkers and researchers who solve problems by tracking and keeping their eyes on data. Everywhere one looks around and he would see the importance machines play in our lives along with the gadgets and gizmos that make the most complex of procedures a button click away.

Therefore as the world turns in a melting pot of various data types circling from interactions- both online and offline, someone has to take up the task of studying this data and finding a relation or perhaps a model to predict what comes next. This is a job for the data scientists and the data analysts of the generation. And what better way to equip oneself with a certification to solve the data maze as it gets more and more convoluted each day.

Certifications and Skills

A data science certification in this modern world doesn’t just involve learning statistical techniques but also the importance of looking between the data to create algorithmic models that predict the next step with greater precision and accuracy. A data science certification can be obtained by taking up courses from accepted and accredited organizations or by taking up coaching classes where the major focus should be on teaching why algorithmic techniques are used and what crucial role they can play in the workplace.

Students first begin by learning about the most commonly used platforms and software for data science and thus embark on a journey to learn ways to process supervised and unsupervised data. The importance of classification, correlation, regression and vector machines is heavily discussed along with ways to work on cleaning, preprocessing and documenting the results in a coherent and interpretable way.

Students will likely begin with simple statistical measures in software such as Excel and begin coding exercises on platforms such as Ruby, Python, R, Panda and work on running scripts using online platforms and extensions.

The Power Of Certifications

Data is a hard mule to tame if the processing team doesn’t have the right skills to understand what is to be done with the data. It’s one of the most obvious pitfalls in any company that understands the importance of data but either doesn’t have enough of it, has irrelevant data, has incomprehensible results or simply misleading data. A data certification allows a person to avoid these pitfalls and makes way for any company, startup or research team to utilize data to produce reliable and trustworthy results.

The story of how Google predicts disease spreads each year or the story of how stock managers know which city or state will have a greater demand for goods in the coming month, or the story of how Netflix and Youtube recommend content to viewers based on their previous views is all possible thanks to data.

With the onset of businesses now involving data scientists in the workplace along with managers and other stakeholders, one can easily understand the importance that data science has in any industry. A data science certification also helps teams with meeting end goals while reducing time and resources as all data is collected and shared with every stakeholder, eliminating the need for milestone meetings, presentations and trainings.

Where Data Science Is Headed

It’s not a bubble like the internet but rather a large vacuous space that is in dire need of more data scientists. While a formal graduate education is preferred by the acumen in the industry, something as simple as a certification from a reputed institution can garner much attention to a candidate during an interview.

It’s no secret that data science is considered to be a highly sought after field commanding a rising percentage of job opportunities-both business and research oriented, all over the globe. It’s never been a better time thus to get a data science certification.

This blog is listed under Data & Information Management Community

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