The popularity of big data across industries has been increasing incessantly over the last few years. Organizations have been leveraging a myriad of amazing benefits in terms of increased efficiency and minimized cost with the help of big data analytics, and they opine that big data analytics has in fact enabled them to become more futuristic in their approach. Now even those businesses that have earlier distanced themselves with big data have started showing deep interest in the subject considering its value and significance in the modern era. This unquestionably gives all aspirants a golden opportunity that can be efficiently turned into favor by preparing well for the industry. That’s why we there is a huge demand of industry oriented big data analytics courses. Industry oriented big data and business analytics courses can help aspirants become industry ready quite efficiently.
However, it is so unfortunate that in the name of industry oriented big data courses, most institutions are basically luring the candidates to for the sake of monetary benefits. Aspirants or candidates get enticed by the amazing promises that these institutions make, and they start enrolling up with random courses. Hence, it becomes absolute necessity to know what actually an industry oriented course is!
This article lists four pivotal aspects of industry oriented big data and business analytics courses.
Cloud-based big data analytics: As most of the businesses have already moved to cloud, their data base and crucial applications are residing on the cloud itself. In this scenario, analysts need to learn how to perform data analyses on cloud-based big data. Therefore, all the industry oriented course should pay attention to cloud-based big data analytics programs and modules.
Predictive analytics: One thing that aspirants and institutes should know by now is that businesses lean towards analytics primarily to eliminate guess work and estimate form their decision making processes. Hereon, predictive analytics has emerged as an idyllic solutions to eliminate every type of nuances and irregularities from strategies. Therefore, predictive analytics should always be covered in all the industry oriented big data analytics courses and trainings.
Large scale data analyses: Needless to mention, organizations rely on a wide range of data sources, and these data are often in the forms of Excel sheet, graphs, pictorial representation, and even on the cloud. In order to perform efficient analytics on such a wide range of data, big data analytics institutes must educate their students on how to perform large scale data analyses by eliminating all the irregularities and uncertainties meticulously.
Exposure to real-world analytical problems: This should ideally be included on all courses that are focused on preparing students for the professional journey. Data analytics institutes must ask students to work on real-time case studies as this can help them apply their analytical skills in various circumstances so as to harvest right insight from different types of data sets efficiently.
In a few words: All the industry oriented big data analytics courses should pay exclusive attention to all these facets discussed above.