With organisations doubling down on data science for driving growth and profitability, here are 7 skills that can get definitely get you ahead in your career. Our annual survey on Data Science recruitment in 2019 showed that the most important skill for a data scientist is machine learning where 75% of the respondents have claimed the importance of Python programming language in data science. These are some top freelance skills you can develop that can help you earn more, even outside your day job.
A freelancer empowers an individual with a lot of freedom as well as flexibility in his/her work. India can be said as the second highest of freelance professionals in the world, following the USA. A freelancer gains the opportunity to earn more by accessing to clients with limited geographical barriers. Besides this, there are many other opportunities that freelancer gains.
According to a recent report, these highly data-centric freelance skills can help today’s millennial shape the future of work. Given that the hiring challenges are steep and it is difficult to fill specific data-centric roles, freelancers can fill the void in teams and help get the project off the ground. 53 percent of the younger generation hiring managers said that talent scarcity and access to skills are their biggest hiring challenges. And this void space can be fulfilled by the freelancers in an organisation. The study also predicts that, by 2028, non-traditional, flexible talent (ie. freelancers, temporary and agency workers) will comprise 24 percent more of departmental headcount as compared to today.
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Here are the fastest growing freelance skills in Big Data, Automation, CAM, programming and advanced analytics that can help you get ahead in your career.
1| Hadoop
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Hadoop is an open-source programming software and its ecosystem consists of hardware, software as well as services which are used for mining both structured and unstructured data to extract patterns from it. It is a framework which allows the distributed processing of large data sets across clusters of computers using simple programming models.
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2| Robotic Process Automation
Robotic process automation (RPA) is applied to a variety of business processes by automating rule-based monotonous tasks and bridging temporary gaps. Basically, the RPA engines are loaded with highly-specific process knowledge which enables rules-based automation.
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3| Computer Aided Manufacturing
CAM is an application technology which makes use of computer software to develop as well as automate the manufacturing process. It can be referred to the use of a computer to assist in all operations of a manufacturing plant, including planning, management, transportation, and storage
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4| Salesforce Commerce Cloud
Salesforce Commerce Cloud, formerly called Demandware, is a cloud-based service for unifying the way businesses engage with customers over any channel or device. It is a platform where a large E-Commerce business can be handled very easily.
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5| Julia development
According to Julia Computing, Julia offers best-in-class support for modern machine learning frameworks such as TensorFlow and MXNet, making it easy to adapt to existing workflows. Julia can run effectively and also faster than other languages like Python and R.
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6| Kubernetes
Kubernetes is an open source system for managing containerized applications across multiple hosts; providing basic mechanisms for deployment, maintenance, and scaling of applications. This system is built upon a decade and a half of experience at Google running production workloads at scale using a system called Borg.
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7| Vue.js Framework
Vue is a progressive framework for building user interfaces. It is perfectly capable of powering sophisticated Single-Page Applications when used in combination with modern tooling and supporting libraries.
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