How to learn big data is the question many professionals in the field of big data are asking themselves. With terabytes and petabytes of information flooding their computers, they are looking for ways to leverage all that data to gain an edge over their competitors. From four-year degree programs and two-year Master s-level degrees to free online classes and tutorials, the journey to becoming an expert in big data analytics can be either formal or self-directed. With big data analytics quickly becoming a sought-after expertise in almost every industry, both professionals and students are looking for ways to improve their knowledge and build on their existing skills to give them more value in what they do. To get the most out of this rapidly changing field, it’s important to understand how to learn big data as both a student and a professional.
As a student, there are many different options available to you. If you’re interested in applying for a graduate program in the area of big data analysis at a prestigious university, you will first need to decide on your major. If computer science is not your major, you will still have plenty of options available to you as a student of information science. Among the best big data courses you can take as a graduate student are those offered at both the bachelor’s and master’s level. These advanced degrees to teach you the skills and methods that you’ll need as a professional in the field of big data analysis.
Once you’ve determined your major, it’s time to decide how you will earn your graduate degree. Many graduate students opt to pursue a traditional online education route, enrolling in an online master’s program or attending a traditional campus-based school. While an online education is highly recommended for a number of reasons, including the sheer convenience of studying from home, some online programs actually cost less than a traditional on-campus program. A great online program for a data scientist is the master’s program offered by Stanford University. This program provides full-time graduate-level training in the most comprehensive and engaging online curriculum ever devised.
Once you have decided on a graduate program, you can then begin to think about which coursework you will pursue. Most graduate schools expect students to complete one of two major classes: either data processing or mathematics and machine learning. Most schools have their own choice of resources for the programming course, so you may wish to review these prerequisites. Typically, all but one resource type will require programming as part of its prerequisites.
Once you have decided on a course of study that includes big data analytics, you will have two options for pursuing your degree. You may want to take an Introduction to Data Science or Courses in Data Processing. Both of these programs require programming and the completion of a programming sample. Courses in Data Processing require that you have taken at least one semester of a core Data Science course, although there are some options that do not require this prerequisite. There are many different online universities, colleges and courses available today that offer Courses in Data Processing.
If you prefer to learn big data through an online course, you will be pleased to know that several choices are available. You may even choose how you will study. Many schools now offer a “learn on” option for their programs. You will still be able to communicate with your instructors via email, chat rooms or phone. The main difference is that you won’t have to physically go to class, although some schools do provide virtual classrooms.
One great thing about the big data courses offered today is that the programs do not require you to have any specific programming knowledge. You don’t need to know Java or SQL. In fact, there are many web-based courses available that don’t require any experience in either of those programming languages. Most of them are very affordable, too. So if you have some experience in programming, you can likely find a school that offers a course to help you learn how to master big data.
If you would rather attend a school that requires some experience in programming and data science, some schools will help you get that experience through an internship. With the help of an internship, you gain valuable knowledge not only about the concepts covered in big data courses, but also gain valuable field experience. Most of the online big data courses and online courses available today will provide you with all of the necessary instructions and resources to complete your course successfully.