Programming
The tech sector is rapidly evolving, and there is a massive market for IT skills in the workforce since the disruptive transformation in businesses. A career in information technology can be lucrative and long-lasting. However, to flourish in a digital profession, it is necessary to keep up with the ever-changing world of technology by acquiring […]
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 […]
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 […]
“Python programming is the most-searched programming language in 2018.” – PYPL PopularitY of Programming Language Index Why Python? Python is a free and an open-source programming language developed by Guido van Rossum. The reason why Python dethrones other programming language is because of its simplicity and availability to be used in many areas of expertise […]
Let’s talk about iOS – one of the most popular mobile operating systems developed and created by Apple Inc. Join us as we dive into the sharing and discussion on iOS mobile app development, what’s new in iOS, opportunities and the future of iOS app development! During each talk we will introduce and perform a live demo […]
“R is becoming the lingua franca of data science“- Revolution Analytics. Data has become more complex as technology improves. Companies now have millions of gigabytes of data on everything from user preferences to energy consumption and they more than ever need skilled people who can analyze and extract valuable patterns from the data. With R, analyzing complex data […]
