Digital Marketing Certfication Course

Hello guys, we are already in the second week of 2020, and I am sure all of you have already made your goals about what to learn in 2020 and how to achieve them. I have been writing a series of articles to give you some ideas about the things you can learn and improve to become a better, all-round developer in 2020, like learning new programming languages, frameworks, and libraries. These three things are extremely important and help you to become a better Java developer but as some wise person said, "you are only as good as your tools", you should also look to upgrade your tools, learn new tools and improve your understanding of old tolls which are still going well. To help you with what tools you can learn in 2020, I have come up with a list of 10 essential tools for Java developers, which I am going to share with you guys in this article. In the past, I did share some useful testing tools for Java programmers, and this article is an extension of that as it covers mu

If we talk about the hottest jobs in tech right now, then only two names will pop up in your mind those are a data analyst or data scientist.  And, that’s not only we are saying even the Harvard Business Review declared “data scientist” as the“sexiest job of the 21st century .” But there is a lot of confusion between both the names even people who have some basic knowledge of data science consider both the job profiles as one.  Well, the reason behind this confusion is both of the professions deal with big data, rather defined vaguely and sometimes used interchangeably with one another. So, here we are to explain the differences between the two of them and that too in the easiest way. Let’s begin the brief introduction of both the terms, followed by skillsets each require to understand well.   Definition a. Data Analysts Data Analysts play a vital role in the Data Science domain. As a role, they play a variety of tasks associated with collecting, organizing