June 11, 2019


The fundamental role of a data analyst is to work with data, the tools for managing them, and the techniques for predictions. In order to become a successful analyst, an individual must have a real interest in exploring data, both structured and unstructured. An individual must also possess strong

mathematical skills, with an inclination towards statistics. Data analysis is a great deal about the statistical numbers. In this job role, you will mostly be working with databases, either to store new datasets or examine existing ones. Database management tools such as SQL and Cassandra are a must. The programming in these databases is done with code written in Python, R or other languages. Thus, a data scientist must be a good coder too. Data visualization techniques present data in an easy to understand format, which often has its own libraries.

The best expertise comes from working on real projects, as these expose the niche things that might have been overlooked. Good observation is a skill which comes in very handy for data analysts. This gives them an ability to make better selections of datasets and tools. Last but not the least, data science is a consistently evolving field. It is best to keep yourself updated with the latest tools and trends to stay afloat the industry competition. As the size of data continues to grow exponentially, it is likely that new tools will be developed to keep up with the demands.


With evolving technology, new trends come into play. IOT is a technology that connects various physical hardware devices via a software. This generates data from various points for analytics. Dark data is a term that refers to data that remains unexplored due to limitations in current technology. It can be assumed that this will be a fast growing trend in near future. With the expanding job roles in data science, companies have started recruiting CDO as chief data handling officers. This position is still relatively new. This is well suited for individuals who work in data mining, visualization and data analysis.


Data science and analytics courses are designed to provide training from a basic to advanced level. Many of these courses can be accessed online with simple modules and a flexible structure. Some common courses offered are R training in data science, data mining and data visualization. The course structure includes training in SQL, Microsoft Azure, using Python to manipulate data frames,scikit based machine learning and a lot more essential skills. These courses are the best way to stay updated with the latest trends and technologies. Investing in them would yield high paying returns in the future.


Various data analytics certification courses in Bangalore are provided by ExcelR institute. They equip an individual with the latest tools and trends of the analytics market. ExcelR also offers placement support and has successfully placed more than 400 individuals as data analysts.