What is Data Science?

Data science technology is used by “IT professionals who have the skills to collect, shape, store, manage and analyze data [as] an important resource for businesses. Organizations enable data­driven decisions. Almost every interaction with technology contains data: your Amazon purchases, your Facebook feed, Netflix recommendations, and even the facial recognition required to sign in to your phone.

Amazon is a great example of how useful data collection is to the average consumer. Amazon records remember what you bought, what you paid for, and what you were looking for. Amazon can adapt your subsequent landing page calls to your needs.

Data science benefits businesses and consumers. services powered by personal location data enable consumers to generate an economic surplus, which means they can get a good or service for less.

Data Science Helps the Future

Data science allows retailers to influence the way we buy, but the importance of data collection goes far beyond. Public health through wearable trackers, encourage people to adopt healthier habits and alerts people to potentially critical health issues that can improve by Data science s. The data can also improve diagnostic accuracy, speed up the search for cures for certain diseases, or even prevent the spread of a virus.

Data science has critical applications in most industries. For example, the data is used by farmers to efficiently grow and distribute food, by food suppliers to reduce food waste, and by nonprofits to lead fundraising efforts and forecast food needs, funding.

If looking to Pursuing a career in data science it is a smart move, not only because it’s a trend and it’s well paid, but because data could very well be the foundation of any economy.

In­demand Careers in Data Science

Data science specialists are needed in virtually every professional sector, not just technology. In fact, the top five tech companies ­ Google, Amazon, Apple, Microsoft, and Facebook ­ only employ half a percent of the US workforce. However, entering these high­paying and demanding roles often requires further training.

The person holding the Data scientists position is highly qualified and has at least a master’s degree and have a doctorate. While there are notable exceptions, it usually takes a very good education to acquire the in­depth knowledge a data scientist needs. »As reported by KDnuggets, a leading big data site.

Here are some of the top data science careers for college graduates, Freshers

Data Scientist

Average salary: $ 139,840

Position Requirements: the position holder must have excellent skills so that they’ll be able to analyze large amounts of complex raw and processed information to find patterns that benefit a business and guide strategic business decisions. Data scientists are much more technical as compared to data analysts.

Read more on Data Science Training in Pune

Machine Learning Engineer

Average salary: $ 114,826

Typical Requirements of Business: the Machine learning engineers who create data funnels and deliver software solutions. Generally, they need a solid knowledge of statistics and programming as well as software engineering. In addition to building and designing of machine learning systems, they are also responsible for running tests and in experiments to monitor the performance and functionality of these systems.

Scientists in Machine Learning

Average salary: $ 114,121

Typical Job Requirements: Explore new approaches to data and algorithms for use in adaptive systems, including supervised, unsupervised and deep learning techniques. Scientists in machine learning often use titles such as research scientist or research engineer.

Application Architect

Average salary: $ 113,757

Typical Business Requirements: Track the behavior of applications used in an organization and how they interact with others and with users. Application architects also focus on the design of application architecture, including the construction of components such as user interface and infrastructure.

Business Architect

Average salary: $ 110,663

Typical Job Requirements: An enterprise architect is responsible for aligning an organization’s strategy with the technology required to achieve its goals. To do this, they must have a thorough understanding of the business and its technology in order to develop the necessary system architecture to meet these requirements.

Data Architect

Average salary: $ 108,278

Job Requirements: before working on this position confirm that data solutions are designed for performance analysis and develop applications for multiple platforms. In addition to creating new database systems, data architects often look for ways to improve the performance and functionality of existing systems while providing access to database administrators and analysts.

Infrastructure architect

Average salary: $ 107,309

Typical Job Requirements: Ensure that all business systems are functioning optimally and can support the development of new technologies and system requirements. The Cloud Infrastructure Architect, who oversees a company’s cloud computing strategy, plays a similar role.

Data Engineer

Average salary: $ 102,864

Typical Job Requirements: Perform batch or real­time processing of the collected and stored data. Data engineers are also responsible for creating and maintaining data pipelines that create a robust and networked data ecosystem within an organization and make data accessible to data scientists.

Business Intelligence (BI) Developers

Average salary: $ 81,514

Typical Job Requirements: BI developers design and develop strategies that help business users quickly find the information they need to make better business decisions. They are extremely data-savvy and use BI tools or develop custom BI analytics applications to make their systems more understandable for end-users.

Statistics

Average salary: $ 76,884

Typical Job Requirements: Statisticians collect, analyze and interpret data to identify trends and correlations that can be used in organizational decision making. In addition, the day­to­day tasks of statisticians often include designing data collection processes, communicating results to stakeholders, and advising on business strategy.

Data Analyst

Average salary: $ 62,453

Typical Work Requirements: Transform and manipulate large data sets to meet the analyzes you want for your business. For many businesses, this feature may also include web analytics tracking and A / B test analysis. Data analysts also aid decision­making by creating reports for business executives who communicate. effectively trends and insights from their analyzes.