Prerequisites for master’s in data analyitics through online education
Prerequisites for pursuing Master’s in Data Analytics online
The process of examining data sets to draw specific conclusions about the information contained in them is called as data analytics or DA. Data analytics is widely used in commercial industries, which helps in setting up organizations and making informed business decisions.
If you are planning to pursue a career in data science by enrolling for Master’s in Data Analytics online course, then here are some prerequisites you should know.
As a candidate for Master’s in Data Analytics, you should have a basic knowledge of mathematics, technology, business intelligence, data mining, and statistics. Apart from this, a couple of other prerequisites mentioned below can also be handy while pursuing Master’s in Data Analytics online.
Analytical skills
This skill refers to the ability to gather, view, and analyze various forms of information in detail. This helps in preparing a comprehensive business model and storing the information efficiently at the same time.
Numerical skills
With a good knowledge of statistical figures and numbers, you should be able to organize information and read data through graphical representation.
Technical and computer skills
Good computer proficiency is also one of the important skills to hone if you are applying for Master’s in Data Analytics online. You should be familiar with some computer software and tools such as Matlab, Python, querying languages such as SQL, Hive, and Pig. Other than this, being familiar with Excel spreadsheets and other statistical languages such as SAS and SPSS will also help in smoother progress through the online course.
However, many senior data scientists who have a comprehensive experience in the same might have a different opinion regarding the prerequisites. You need not possess a lifetime worth of data scientist skills to pursue Master’s in Data Analytics online. This is because a data analyst or data scientist is more of a covering job title where both have different roles but share similar conceptual models and philosophies. Also, the skills mentioned above might be included in the course structure itself. Therefore, select the course that requires basic prerequisites and yet covers major skill sets that are required for a successful career in data analytics.