Career Opportunities for Data Science

Today’s economy is more relying on analytics — for many years, businesses have collected data. According to LinkedIn, people who can collect and analyze data or are interested in data science have a huge demand. These are the data scientists. A data scientist is a computer scientist with the ability to capture, analyze, process and process a large number of structured and unstructured data. In this time of machines, most companies generate enormous amounts of data every day. Data are interchanged in nearly every contact with technology.

Let us analyze the career prospects for Data Science.

Who is a data Scientist?

A blend of mathematicians, trend spotters and computer scientists is a data scientist mix. The job of the scientist is for vast quantities of data to be deciphered and further analyzed to identify patterns in the data and to gain a deeper understanding of everything. In order to teach businesses insight into behavior, data scientists interact between the worlds of industry and IT and lead industries through the analysis of complex datasets.

Why choose a career in data science?

Some of the reasons to chose working in data sciences are –

• Data Scientist, by its demand around the world, is the work that creates a hype. McKinsey & Company estimates that the United States will have about 140,000 to 180,000 fewer data scientists than it needs by 2018. There is rising demand for data science, while the supply is too poor.
• They bloom from IT to healthcare, from e-commerce to marketing and retail, in every area of industry. Data scientists play an extremely important role as a trustworthy advisor and strategic management partner for an enterprise. Data scientists are the best asset.
• Because of rising data demand across the world, data science evolves rapidly. Data scientists possess a wide range of skills and can use knowledge and data to help businesses decide better. They receive fascinating possibilities to work with and play with data to find the right solutions for companies.
• The data sciences are prosperous, and the task of 2018 is the most challenging. Companies search for data scientists urgently. As there is high demand for data scientists and low availability. E-commerce firms are not just the companies that recruit them; the companies from almost all areas already employ data scientists, and even start-ups actually depend on data science to carry out this work.

Career opportunities

Some of the job roles you can expect after getting into this field are –

Business Intelligence Analyst – Through analyzing data, ABI analysis uses data to identify industry patterns and business trends and have a better view of where the firm stands.

Data Mining Engineer – Not only data for the business, but also for third parties are examined by the data mining engineer. A data mining engineer can develop sophisticated algorithms to help the data further analyze in addition to the analysis of data.

Data Architect – Data architects work together with users, system designer and developer to build plans for centralizing, integrating, maintaining and protecting data sources through the use of data management systems.

Data Scientist – Data scientists first translate a business case into an analysis agenda, create assumptions and understand data, and explore trends to quantify their effect on companies. You can also find and select algorithms to explore data further. They use company analytics not only to understand the impact of the data on a company in the future, but also to help develop strategies that can help the company progress.

Senior Data Scientist – A senior data scientist can predict the future needs of a company. Apart from collecting data, they also analyze it systematically to address extremely complicated business issues efficiently. They can not only design but also promote the development of new standards and build ways to use statistical data as well as to improve methods for further analysis of the data.

How Can you start your career in Data Science?

It is important to have a good start with sufficient assets and learning material in order to be acceptable at anything. As a result, in order to be a pro in this area, your first steps toward learning must be sufficient. Let’s take a look at some of the things you should do to get started learning –

Step 1 – Learn about the basics and Develop Conceptual understanding

Before being an expert in any area, it is important to have a strong base. You must have sufficient applied knowledge even before you get your hands on the practical labs. It is necessary for everyone to begin somewhere. You must begin small if you want to have a good career in this area. You can get full information and a complete conceptual understanding by using the tools mentioned below –

• Firstly, Online Tutorials for Data Science
• Also, Certification Courses from verified sources such as Vskills, Coursera, Udemy and so on.
• In addition, Online communities
• Moreover, Blogs and study material from experts in this field and many more.

Vskills also provide Online tutorials, certification courses and free practice tests for the same. You can check them out on our official site.

Step 2 – Practice different Projects

You must practice if you want to be good. It’s also the most effective way to access one’s understanding and know where you’re headed in terms of putting what you’ve learned into practice. Getting some experience in practical aspects such as applying Data Science knowledge in projects will help you stand out from the crowd.

You can supplement your learning with the help of reading the blogs and tutorials by various sites which will help you to grasp a better understanding of the practical aspects.

Step 3 – Build Your Portfolio

Building your portfolio will help you gain trust in your abilities while also providing a forum for learning. Your portfolio reflects your ability to execute and schedule various logics, as well as how well you do in the areas of Data Science. These responsibilities should include a variety of projects and encourage readers to learn a lot.

Step 4 – Implement your skills in Real world

Execution of the ability you’ve mastered is vital because that’s why you learned in the first place – to perfect the skill! You must also remain up to date with latest technical developments and continue to work and improve your own skills. Any of the technical courses can also be used to show that you have a comprehensive understanding of advanced skills. You can put your talents to use in a variety of ways, including:

• Freelancing
• Internships
• Apprenticeship programs

Above mentioned steps will help you to get started in this domain. However, there is a long way to go. You can take up an advanced course to take your skills to a new level.

Market Demand

There are 57,064 career opportunities worldwide, according to LinkedIn. Data Scientist became one of America’s top 50 workers and was considered to be the most promising profession in 2019.

The position of a data scientist has become the warmest work in the decade with millions of openings in Big Data worldwide. In today’s data world, businesses use the insights provided by data scientists to remain ahead of competition while maintaining low overhead costs. Big names such as Oracle, Apple, Microsoft, Booz Allen Hamilton and Walmart have jobs for data scientists on a regular basis.

Average Salary

Data Science is high in demand and, therefore, pays enough. 

The average base wage for an Indian data analyst is approximately 4,96 lakhs per year, which includes about 50K of incentives and 4K of profits. Depending on your background, extra skills, place and employer this figure can range up to 9.98 lakhs per year.

You can expect to earn anywhere near 3,50 lakhs per year when you start out as a data analyst or have less than a year of field experience. You can expect 4.83 lakhs per year if you have about 1-4 years of experience. The salary is approximately 7,20 lakhs per year for analysts with 5-9 years of experience. Experienced nominees with an experience of 10-19 years pay around 12,75 lakhs per year.

Entry level	Early-career	Mid-career	Experienced
3.50 lakhs per year	4.83 lakhs per year	7.20 lakhs per year	12.75 lakhs per year

Any new skills or skills you are not taught when you are certified will help to increase your wage. You will earn around 4.32 lakhs a year if you are skilled in data processing. You will get a salary of around 4,92 lakhs annually if you can work with SQL.

Conclusion

Data Science is one of the most common occupations in the United States. According to the US Bureau of Labor Statistics, demand for professional data scientists will grow at a pace of 27.9% by 2026. An advanced degree in data science is a great target for your career if you have analytical skills and a passion for computers.

Get started and discover the career opportunities in the field of Data Science. Hurry up and try free practice tests now offered by Vskills.in!