If you’ve considered data science as a career, you’ve probably already heard these jokes.   “A data scientist is a statistician who lives in San Fransisco” #monkigras pic.twitter.com/HypLL3Cnye — Jeremy Jarvis (@jeremyjarvis) January 30, 2014     Data Science is statistics on a Mac. — Big Data Borat (@BigDataBorat) August 27, 2013 There is […]

Ho King Siang, Maxolvin Sintore (Max), and Balqis Nasiruddin are data analysts for Shell Sarawak. Being trained in the field of geology, all three analysts could see the large role data science would play in the future and sought out our Python for Data Science course. We caught up with them during the course to […]

IoT seems to be the go-to buzzword in conversations about the future and Industry 4.0. Any business that expects longevity, is also considering investing in IoT. According to Statista, in 2018 alone, there were 23.14 billion active IoT devices. But what exactly is IoT? How does it work? If you find yourself stumbling into conversations […]

Data scientists are the oil refineries of the 21st century. They take raw materials with no obvious value and process it into precious fuel. According to Indeed.com, between December 2017 to December 2018 there was a 29% increase in job postings for data scientists. According to LinkedIn, being a data scientist is the most promising […]

When choosing the best data science or data analysis tools, many of our students at iTrain tend to ask whether they should use R or Python.  Sometimes, the most cliched answer is the closest to the truth; “It depends.” In this post, we highlight several questions that will help guide you to select the right language […]

R for Data Science: Statistics You Need to Know By 2020, annual demand for fast-growing new roles including data scientists, data developers, and data engineers is projected to reach 700,000 openings. Additionally, 59% of the job demand in Data Science and Analytics is in Finance and Insurance, Professional Services, and IT. – Source: Forbes About […]