Data Analytics Sciences

Being a Data Scientist / Data Analytics has become one of the most popular career choices of late. Data scientists have an attractive job profile, are highly sought-after and well rewarded. And what’s more, you can be one.

Data Analytics Sciences

About Data Science

All of us, as consumers, generate a vast amount of data through the services we use in our everyday life. And all of that data is in turn used to understand our needs better and serve us better in future. But how is all that data processed? Welcome to Data Science.

Data Science can be described a field of science that is primarily concerned with the extraction of information or insights from raw data, and management and interpretation the given data with a wide array of applications.

Understanding the Hype

Data Science has become a new buzzword across all industries in recent times, and for a good reason. As services, especially digital services, begin to dominate the marketplace, more and more data is being generated. And corporations are beginning to realize the intrinsic value of consumer data and looking for ways to process it and use it to improve their products and services. Companies are using consumer data to develop a better understanding of their customers and develop their business strategies around them.

And for this reason, data scientists are among the most sought-after professionals in the modern times. Multinational corporations and small startups alike are rewarding data scientists and analysts with impressive roles and salary packages. And the high demand for data scientists isn’t likely to slow down as Harvard Business Review has predicted data science to reach momentous status by 2019, as a result of increase and rapid adaption of mobile advertising, cloud computing and data awareness.

The Job Market

While initially limited to the IT industry, the applications of data science have extended to other industries such as finance, energy, travel and tourism, services and government. This means an increased demand for data scientists across all fronts and a plethora of opportunities for them.

And if job trends are to be followed, indicates an unprecedented increase in data science jobs by 2019 and more than 5 million data sciences related jobs in The States by 2019.

But unfortunately, a recent study from Wanted Analytics show that less than 5% of computer professionals in the United States have the required skillset to take up positions relating to big data and data science.This is primarily because the discipline is fairly new. But things are rapidly changing, with some institutions starting to offer different types of masters and diploma courses relating to data sciences.

Management Courses Related to Data Analytics

NISM has come up with specialized courses related to securities market.

NoCourse NameDownload Prospectus
1Post Graduate Diploma in Management (Securities Markets)[ PGDM (SM) ]Download
2 Post Graduate Programme in Securities Markets (PGPSM)Download
3 Post Graduate Diploma in Quantitative Finance (PGDQF)Download
4Post Graduate Diploma in Data Science (PGDDS)Download

Data Science and Analytics Career Opportunities and Rols
Roles in Data Science

There are a lot of roles in the data science field. And despite being one of the most talked about careers out there, descriptions and designations are often mixed up. And as a result, there is not enough clarity on who does what in the data science world. Below are some of the common roles and job titles you’ll come across in this field.

  • Data Architect

Data Architects work with system designers, developers and operators to develop and maintain blueprints that data management engines use to centralize, decipher and protect data sources.

  • Data Mining Engineer

The job of the data mining engineer primarily revolves around developing algorithms for efficient understanding and analysis of consumer data. The data mining engineer achieves this by examining data of the business and also third-party data.

  • Data Scientist 

Here’s the big one, and among the hottest job titles, one can have these days. A normal workday of a data scientist involves using the latest technologies and algorithms to manage and handle crude data and explore patterns in the data that might have an impact on the business. They not only work for the detection of opportunities and problems but also work with other data scientist staff to develop solutions to these problems.

  • Business Intelligence Analyst

Among the less technical data science jobs, a business intelligence analyst understands market trends and serves as the middlemen between the board of directors and the technical personnel. This helps them to draw a better picture of where the company stands.

Is It for You?

As interesting and financially rewarding the prospect of being a data scientist sounds, it is important to understand if a career in data science is the right one for you. There are several pointers that can help you with that decision.

The first one is a no-brainer: A love for numbers and statistics is a must in this career. This coupled with a sound knowledge of computer programming and understanding of various computer languages is a must. If that sounds like you, welcome aboard!

Path to Success

It is no secret that the education requirements for jobs in this industry arepretty steep. Apart from a technical degree, a career-focused course will equip you with the skillset required.

A short-term postgraduate diploma of a high calibreshould integrate your prior training and knowledge in statistics and coding with substantive expertise, while providing you with in-depth knowledge about the skills and software data scientists rely on, such as Hadoop, Tableau, Python, SAS, etc.

With the right qualifications, you can enjoy a bright and rewarding career as a data scientist. And as the demand for professionals with the right qualifications increase, so will your value in the job marketplace, along with your salary package.

About NISM

National Institutes of Securities Markets is at the forefront of providing industry-leading training in Data Sciences and Finance. The Post-Graduate Diploma in Data Science is NISM’s flagship course that provides its students with an extensive understanding of all concepts and skills relating to data science and big data.

Management Courses Related to Securities Market

NISM has come up with specialized courses related to securities market.

NoCourse NameDownload Prospectus
1Post Graduate Diploma in Management (Securities Markets)[ PGDM (SM) ]Download
2 Post Graduate Programme in Securities Markets (PGPSM)Download
3 Post Graduate Diploma in Quantitative Finance (PGDQF)Download
4Post Graduate Diploma in Data Science (PGDDS)Download