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NEW: 6 Hot Career Prospects in Data Science Industry Today

@machinelearnbot

Data Science is gaining unprecedented traction in the job market, as Big Data, data analytics, data mining and machine learning become more relevant to the mainstream IT industry. Around the world, organizations are fiercely fighting with each other for skilled data professionals available in the market. As a result, the financial packages for different data science roles are consistently going into overdrive. It won't be an exaggeration to say that data science is an exciting career choice for someone interested in crunching numbers on a huge scale. But what are the probable job roles that data science professionals are expected to play in the real world?


Data Science Masters Program iCert Global

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Data Scientist is the most promising job in the U.S according to LinkedIn. Also, the demand for Data Scientists is growing exponentially in all the industries. Out of all the openings, 19% of data science professionals jobs are secured by the Finance Industry. Python statistics is one of the most important python built-in libraries developed for descriptive statistics. Python statistics is all about the ability to describe, summarize, and represent data visually through comprehensive python statistics libraries.


What is a data engineer? An analytics role in high demand

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Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. This IT role requires a significant set of technical skills, including a deep knowledge of SQL database design and multiple programming languages. But data engineers also need communication skills to work across departments to understand what business leaders want to gain from the company's large datasets. Data engineers are often responsible for building algorithms to help give easier access to raw data, but to do this, they need to understand company's or client's objectives. It's important to have business goals in line when working with data, especially for companies that handle large and complex datasets and databases.


Automation and Artificial Intelligence Careers

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The artificial intelligence and automation fields are growing at remarkable rates. According to a report from Grand View Research, the global AI industry is currently valued at almost $25 billion, and stands to grow by 46% between 2019 and 2025. Grand View Research also predicts that industrial automation will grow by 8.6% during the same period. As these fields expand, job opportunities are becoming more and more abundant, offering plenty of entry points for those who are not only technically inclined but also inventive and creative. Indeed, experts predict that AI and automation will impact nearly every major industry, which means career prospects are innumerable.


The six best-paid IoT programming languages

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One of the top factors slowing down IoT implementations is the talent gap: Existing market supply just cannot keep up with the demand for engineers with IoT skills. Some 68% of companies are struggling to hire developers for their IoT projects, according to research from Canonical. But the flipside to the skills shortage is that career prospects are bright for professionals with in-demand skills. Here, we focus on the programming languages that are most often used in IoT, namely, Java, C, C, Python, JavaScript and Go, and then analyze how much professionals specializing in these languages can expect to earn. We also take elements such as seniority and location into account.