Education is one of the cornerstones of any civilized society and something that rightfully takes pride of place in any forward-thinking country. From starting at high school to progressing into college and maybe beyond, getting the right kind of education is crucial to living a happy, contented life. It arms you with the basic skills and knowledge to navigate daily life and sets you up for a successful career in your industry of choice.
Most careers now ask for some recognized qualifications, so education is vitally important. That is especially true when entering high-level sectors or moving to more senior levels in an organization. Next to education, technology also plays a crucial role in both our working and personal lives. From sending emails at work to using smartphones to control your home heating, tech is also something that most of us now have to get to grips with.
For those who want to use tech in their future job, completing a data science course is a good option. Many top-level institutions now offer this type of study, so a suitable organization is easy to find. The globally renowned Kettering University provides its own data science programs, which are ideal for anyone wishing to move into this career sector. Kettering even offers the online study of these programs, and this makes them more convenient, perfect for those who work, and ideal for study wherever you are in the world.
Of course, before you sign-up for a course in data science, you will want to know more about it. So, what exactly does it involve?
What is the study of data science?
There is no doubt that information is key to influencing and steering sectors in the global economy. Much of this data is now collected via tech platforms, software, and AI advances. As big data and technology play an ever more vital role in our world, data science is valuable in helping to drill down further into this subject.
In short, data science has you looking at information to decide why something is happening and how likely it is to impact the future. As you can imagine, this makes it an in-demand skill for global sectors looking to interpret current trends. It is vital to note that data science is much different from data analysis.
Data analysis only looks at what is happening currently – it does not attempt to work out why or how it may play out in the future. This course is usually offered at the master’s level and requires a relevant Undergraduate Degree qualification to study. As you would expect, the course itself has a heavy bias towards STEM-related skills such as math and computer science.
Why study data science?
Before we look at just what technologies you might need to know about for a data science program, it is worth looking at why you might choose to study one. For many, the prime reason is that they wish to forge a stable career working in data science. It goes without saying that a relevant, high-level qualification from a top institution can go a long way in progressing your future career.
Data science is a popular field, and so qualified data scientists are in great demand across a wide range of sectors. The modern business world causes organizations to generate large amounts of data, and the companies all need competent people to pick through and leverage it. This, in turn, can help a business with strategic decision-making and future tech development.
The median salary for data scientists is around $130,000 currently, and this, along with reported high job satisfaction, also makes it an appealing role. By studying a data science program, you will have all the education and skills needed to move into employment. As with the ins and outs of data governance, this really is a job that requires in-depth knowledge.
What technologies should you be familiar with to study data science?
As you would expect for such a STEM-orientated course, data science does involve being familiar with specific technologies. There is no doubt that this program is rigorous and requires a high-level skill set in creating/refining data to succeed. But what technologies might you need to get a firm handle on?
Most data science courses will include a fair amount of coding. That is because the course will typically need you to build new processes for data modeling and production. It may also call for you to create and code algorithms to help answer questions. If you do not have a good grasp of popular coding languages like HTML, it might be tough for you to study.
Cloud computing also plays a crucial role in most data science courses, so it is undoubtedly a technology you should know about first. Many data science programs will look at how big data relates to Cloud tech and will delve into how Cloud-based frameworks tie in with data storage.
Machine learning is also a critical element for studying data science. That is because data science looks at how machine learning can be used to predict future trends or answer key questions. Most courses will focus on how machine learning applies to big data and include sub-topics like VC theory and reinforcement learning. By getting to grips with it in advance, you will be better placed to understand data science.
Data science is great for tech lovers
As the above indicates, there is a lot of tech to work with when studying a program in data science. Working in this field will also involve using the latest technology to solve problems or to discover why something has happened.
If you are comfortable with the level of study required to gain a relevant qualification, choosing a career in this field will be very rewarding. However, having the right qualifications is a must, and you can’t get a much better start than studying for an MSc in Data Science.