SSENSE (pronounced [es-uhns]) is a global technology platform operating at the intersection of culture, community, and commerce. Headquartered in Montreal, it features a mix of established and emerging luxury brands across womenswear, menswear, kidswear, and Everything Else. SSENSE has garnered critical acclaim as both an e-commerce engine and a producer of cultural content, generating an average of 100 million monthly page views. Approximately 80% of its audience is between the ages of 18 to 40. It is privately held and has achieved high double digit annual growth and profitability since its inception.

"A data scientist is someone who can obtain, scrub, explore, model, and interpret data, blending hacking, statistics, and machine learning. Data scientists not only are adept at working with data, but appreciate data itself as a first-class product." Data science has been the buzzword for the past few years. Data professionals form a distinct niche in the developer population. But how different are they from the rest of the developers?

Python Vs R key differences in commands and syntaxes 5.0 (1 rating) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. You will learn and reconcile the key differences in commands of R programming and Python. We have realized that professionals and students have to learn multiple languages to keep up to the needs of clients and organizations. R and Python are most common languages for a Data scientist/ Business Intelligence and big data developers and it often causes confusion between 2 languages. Steven is a IT/ETL data developer and data scientist and has extensive industry experience into large variety of technologies.

Job growth in the healthcare sector outpaced all other industries for freelancers in the new LinkedIn 2017 U.S. Emerging Jobs Report, and technology chops are increasingly critical to many careers in the future. The social network's research, in fact, found that the 5-year growth for healthcare jobs is at 47 percent among freelancers and 20 percent for non-freelance employees. Second to healthcare, LinkedIn put retail and consumer products at 42 and 5 percent, respectively. The staffing industry is an interesting comparison because freelance growth was lower than healthcare at 41 percent but higher, at 30 percent, for those non-freelance employees. How AI is driving forward-looking healthcare orgs.