Top 10 tech Skills in demand 2020
We are in 2020 most demand tech jobs.
Internet of Things (IoT) real-time analytics, machine learning, commodity sensors, and embedded systems. IoT technology is most synonymous with products pertaining to the concept of the “smart home”, covering devices and appliances that support one or more common ecosystems, and can be controlled via devices associated with that ecosystem, such as smartphones and smart speakers.
Blockchain was invented by a person (or group of people) using the name Satoshi Nakamoto in 2008 to serve as the public transaction ledger of the cryptocurrency bitcoin.The block chain,is a growing list of records, called blocks, that are linked using cryptography.The record keeping technology behind bitcoin is block chain.
8. Cloud Computing/AWS
AWS( Amazon Web Services ) this is an Amazon service started in 2006.Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet.
Cyber security is the practice of protecting systems, networks, and programs from digital attacks. The cyber attacks are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users; or interrupting normal business processes.Implementing effective cyber security measures is particularly challenging today because there are more devices than people, and attackers are becoming more innovative.
6. UI/UX Design
The “UI” in UI design stands for “user interface.” The user interface is the graphical layout of an application. It consists of the buttons users click on, the text they read, the images, sliders, text entry fields, and all the rest of the items the user interacts with.“UX” stands for “user experience.” A user’s experience of the app is determined by how they interact with it.
Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information.nce that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information.
4. Data Visualization
Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images. This communication is achieved through the use of a systematic mapping between graphic marks and data values in the creation of the visualization.
Search engine optimization (SEO) is the process of increasing the quality and quantity of website traffic by increasing the visibility of a website or a web page to users of a web search engine. SEO refers to the improvement of unpaid results and excludes direct traffic/visitors and the purchase of paid placement.Search engine marketing, (SEM), is one of the most effective ways to grow your business in an increasingly competitive marketplace. With millions of businesses out there all vying for the same eyeballs, it’s never been more important to advertise online, and search engine marketing is the most effective way to promote your products and grow your business.
2.Mobile App Development
Mobile app development is the act or process by which a mobile app is developed for mobile devices, such as personal digital assistants, enterprise digital assistants or mobile phones.
Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence