Professional development training can be a bit of a catch-22: you want to pursue training to further your career, but taking the time and resources to do so can make it difficult to devote your full attention to your work. However, with careful planning and the right resources, striking the perfect balance between your career and your data science training is absolutely possible.
Online professional development courses can offer all the benefits of a classroom-based course There is no doubt that online education is becoming increasingly popular. However, for the ambitious professional, the question remains: Is an online course right for me? When it comes to professional development training in data science, odds are, the answer is “Yes!” While it may seem that the more traditional classroom environment would present benefits that cannot be replicated in a digital format, online courses actually can offer all the key features of a classroom programme, plus additional important perks. We’ve put together three important reasons why you should experience the benefits of studying data science online rather than in a classroom.
Data science helps financial services professionals make better decisions The financial services industry is becoming increasingly data-driven. Data is generated with every financial purchase, sale, transfer, and exchange—organisations that are able to most effectively harness the power of this information will be the ones that maintain an edge over their competitors.
Uncover the benefits of Data Science for your organisation No matter what kind of organisation you run—whether a corporation, a non-profit, a healthcare provider or otherwise—it is an organisation that produces and consumes data. Data science, best defined as a methodological field aimed at extracting knowledge and insights from large sets of data, is therefore an endeavour that holds great potential for the realisation of your organisation’s goals.
Learn how online training can provide vital data science skills As our society continues to be rapidly transformed by technological innovations, disruptive changes to established business models across global industries are causing significant shifts to employment patterns. Some of the occupations and specialties that are in highest demand today didn't even exist five years ago. The World Economic Forum recently highlighted one job type that stands out for the frequency and consistency it has been mentioned across practically all industries and geographies as being critically important: data analyst.