From fraud detection to Netflix recommendations, machine learning is changing the way people interact with digital platforms. Among the most influential of data science methodologies, machine learning uses data algorithms to make predictive decisions. These data-driven platforms require the expertise of data scientists, who develop high-performing algorithms to trace patterns and predict future behaviours.
Marketing efforts are critical to most businesses' strategies for raising awareness of themselves and their products. Given this importance, there's a real need to be able to identify successful strategies, upward and downward sales trends, and other data indicative of the ongoing effectiveness of marketing. Consequently, professionals in the sector today are increasingly seeking out training in data science to help drive their efforts.
2018 will likely be an innovative year for data science professionals Data science is an incredibly innovative and fast-paced discipline. As such, it is important to maintain an understanding of new trends in the area, especially if you are pursuing training in the field. Being aware of not only how data science is currently used, but also how it is likely to progress in the future, will help you maintain your status as a forward-thinking leader in your sector.
A proactive approach to professional development training will help your organisation stay on course
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.
Professional development training is a great opportunity to take a step up in your career, fill any skill gaps, and potentially even gain the qualifications you need to change your career’s direction entirely. However, finding a course that will have such positive results can be challenging, with so many options available to choose from.
You’ve heard the buzz about data science – data is on the rise, skills are in high demand, and new positions are constantly being created. However, it may not be so clear how you can take advantage of these circumstances to further your career.