The weekend is here and we are back with another interesting roundup session on data science. At DexLab Analytics, we try to keep our readers updated about the latest digital trends dominating the technology world. This is why, each week on Fridays, we come up with our quick recap session. This week was all about 5 full-stack data science projects you need to add to your resume, how to start a career in data science and what are the good resources to learn R.
Data scientists are in high demand. Big or small, all kinds of organizations seek skilled data experts who can help them stay ahead of the curve employing industry-relevant insights. However, if you are experienced or have been involved in a few data science projects, you enjoy a winning edge. To know more about full-stack data science projects, click here.
Thinking of stepping into the fascinating world of analytics? This is the best place to be. Grabbing the sexiest job of the 21st century is not as easy as pie. You have to learn the basics of data science, improve your in-demand skills, and create an attractive portfolio. Read more.
Roass Ihaka and Robert Gentleman developed R programming language in 1995. It is open-source and user-friendly. No wonder, it is one of the most popular languages in the data science community. Here we have some great resources to learn R. Check out.
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