Tag Archive : Data

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With evolving smart technologies, the entire process of rendering data entry services has become way easier. Smart technologies are now helping businesses strategically and economically by generating data from every possible source including mobile phones, industrial equipment, smart accessories and personal computers.

Data entry services are considered to be “smart” on their responsiveness with respect to the incoming data. Businesses are looking for effective ways to manage data for obtaining better value and supporting their ultimate objectives.

Smart technologies tend to engage people and various smart devices with the related business, for better processing and collection of data from designated sources. For supporting and coping with the current evolution of such technologies, processes are being constantly renewed.

There are various smart applications that enhance data analytics processes and make them even better. These include Cloud Computing, Internet of Things, Smart Data and Machine Learning.

Need of Smart Technology

Data entry … Read More

R is an open source programming language which has quickly gained huge popularity in the statistical software industry. With millions of statisticians and data scientists using this language all over the world, its popularity is expected to grow rapidly in the coming years. R can be considered as a statistical analytical package which includes all types of models, tests and analyses for manipulation and management of data. Those who wish to grow their career in the world of data science should definitely opt for R Programming Training.

Why R Programming Language is Hugely Popular among Data Scientists

R offers businesses with the most sophisticated and advanced business analysis tools that help them to utilize data in the most efficient manner. Discussed below are some of the reasons as to why it is preferred by data scientists:

Open Source

The best part about R is that, it is open source. This … Read More

What’s the difference between data recovery, computer forensics and e-discovery?

All three fields deal with data, and specifically digital data. It’s all about electrons in the form of zeroes and ones. And it’s all about taking information that may be hard to find and presenting it in a readable fashion. But even though there is overlap, the skill sets require different tools, different specializations, different work environments, and different ways of looking at things.

Data recovery generally involves things that are broken – whether hardware or software. When a computer crashes and won’t start back up, when an external hard disk, thumb drive, or memory card becomes unreadable, then data recovery may be required. Frequently, a digital device that needs its data recovered will have electronic damage, physical damage, or a combination of the two. If such is the case, hardware repair will be a big part of the data … Read More

Computers can be just as painful devices as they are useful. Despite great technological advancements there are some problems that remain common with computers. Power failures, power fluctuations, spills, jerks etc. can make your computer become useless. Your hard drives might start acting up after such events and the next thing you know your precious data disappears somewhere. Even if you go for a hard drive repair you will mostly end up losing the data if there is something wrong with the media. Of course, putting your sensitive data in the hands of a stranger is also not something you would want to do.

That’s when the data recovery software come in the picture. These are the software that help you recover your data when you have lost it for some reason. It keeps you from letting strangers go into your personal data. The best part about these software is … Read More

Data Science is a study of analyzing data in different aspects. In several cases of consideration of data analysis, there is a general abstract framework that describes a basic structure on how data has to be designed. For example, in the generation of music notes, there’s a certain criterion like using only particular music notes for the respective tunes. Describing data analysis is a difficult conundrum. Developing a framework involves considering the elements of the data and implementing it using programming language.

Why should we use programming languages for data analysis?

As we know, data is used in many streams such as banks-to store customer details, hospitals-to store patient records and so on. For this, we require a place to store all the data. To make it function according to the requirements, we make use of programming language.

Let’s take a look at the different programming languages that we use … Read More

The speed of light is approximately 300,000 kilometers per second, Did you know electrons that give use electricity also travel very close to this speed. The information travelling on the internet also travels close to this speed. The information or modulated electrons, travel somewhere around 60% of the speed of light in most conductors.

WiFi signals, which travel mostly through the air, travel much closer to the speed of light than electrons moving through copper wire. These signals can travel at the maximum recorded speed of light in a vacuum, which is approximately 185,000 miles per second.

Certain calculations show that electrons can travel through a conductor at 90 % of the speed of light. Imagine how fast these particles could travel in a vacuum. To get them to travel faster you need to apply a lot more energy. This is because the electron gets a lot more heavier, as … Read More

R Programming: Data Science

May 1, 2020 | programming | No Comments

Data science requires mastering in various fields like machine learning, R programming, Python, deep learning and many more. Among all these, one of the basic key programming languages required for every data scientist is R programming. These programming languages helps a data scientist to collect data, create visualization, perform predictive and statistical analysis and to communicate the course of results with stakeholders.

Basics of R programming language:

It is a programming language developed by Robert Gentleman and Ross Ihaka. It deals with various concepts of graphical and statistical methods. It includes statistical interference, linear regression, and machine learning algorithm, time series and much more. Detailed analysis like data reduction, correlation and clustering of data are easily done with R programming. The data handling process of R is very effective as compared to the rest. Critical programming language concepts are easily analyzed by R. It also provides large, integrated, coherent collection … Read More