The world of technology has gone from days of dial-up and AOL to smart homes, cloud storage, and the Internet of Things in an incredibly expedited amount of time. As we continue to progress in the world of big data, companies are becoming ever more reliant on continually expanding amounts of data sets. With just the information collected by the smart lightbulbs, thermostats, and connected cars, it’s easy to see how much data is collected on a daily basis. But, what do we do with it?
This is where data science comes into play. Based on the overwhelming amount of data one company could be dealing with on a regular basis, data analysts and data scientists have become two of the most in-demand jobs of the times – and the need for them will only grow as time goes on.
What exactly does a data analyst do? To put it simply, he or she is responsible for drawing useful insights from huge data sets and “translating” it to meaningful plain speak for those at their company. This can include everything from creating visual representations and reports of these data sets, identifying correlations and trends, and assisting in ensuring that others understand what this data actually means. Data science is primarily used for predictive analytics, prescriptive analytics, and machine learning. Although artificial intelligence and machine learning have changed the way that data is collected and used in many industries, data analysts and scientists are still required to provide advanced analysis to truly harness the power of data. Generally, the line between a data scientist and a data analyst is a bit blurred in terms of responsibilities and duties, but scientists are known to work more in the machine learning, coding, and modelling side of things.
According to the United States Bureau of Labor and Statistics, approximately 11.5 million new jobs in the field of data science will be available by the year 2026. Data science algorithms are only going to continue to get more complex as machine learning, the Internet of Things, and artificial intelligence help us gather more information at a faster rate. Companies will continue to implement these systems, but will still require a “translator” to relay information to others throughout a business.
The Logical Operations team has seen the power of data science and just how in-demand data analysts/scientists will be in the future, which is why we have created our new Data Science Certification Path. This new training will help prepare students to take on these roles with the skills necessary to excel in the world of data science. Each of our courses and certifications builds upon the previous and offers the student the chance to move from analyst to scientist.
To learn more about our exciting new training offering and to receive a free evaluation copy of any of our courses in the Data Science Certification Path, click here today!