4 Things You Need To Be Proficent At For A Career In Big Data Analytics

  • Big Data is relatively new and helps in gathering and storing large amounts of data. Big Data also describes large volumes of both structured and unstructured data that helps facilitate business on a day to day basis. More than the amount, it’s how the data is used by organizations to help in making better decisions or other strategical business moves.

    Here below are the 4 essential skills expected out of aspiring big data analysts.

    1. Programming: Knowing how to code is essential for anyone who aspires to become a Big Data Analyst. Python, Java, and C++ are among the languages one should invest time in learning. However knowing more programming languages can be an added advantage. Since one has to deal with massive data, being able to handle that data and conducting statistical analysis is important. Using queries and statements to interact with databases is another important process of learning to program. Experience in one programming language can also help understand other languages with ease.

    2. Interpretation of Data and Creativity: Interpretation of data is one skill which will help combine both the business and programming side of the process. Having a clear idea of raw data will help understand the situation entirely. To interpret data one needs to be precise and have a good knowledge of mathematics and science. Creativity and curiosity also help in a huge way.

    3. Multiple Technologies: As seen before, programming is a huge and essential part of Big Data analytics. Having a knowledge about technologies with programming skills will help you grow as a big data analyst. From basic tools like Microsoft Excel to enterprise-level tools such as MATLAB, Linux, Hadoop, and HIVE all help data analysts in making one excel at big data analytics. The technologies being used will also depend on the requirement of the company or project. It is always good to be well versed with major technologies.

    4. Quantitative Knowledge: As a big data analyst, one might have to deal with loads of data. Programming helps you in gathering data and conducting numerical analysis from data sets. Knowledge of multivariable calculus and linear algebra is essential quantitative skills one should possess for big data analysis. One should also have good knowledge of probability and statistics. These quantitative skills will help build a good foundation in numerical analysis.

    If you wish to become a Big Data Analyst, then it would be extremely beneficial if you master the above 4 skills. IT professionals have an advantage because of their knowledge in programming, however learning a new programming language isn’t a tough task. Also enrolling yourself into classes for big data should help you progress fast.