In today’s world, organizations of all sizes collect huge amounts of data from their customers. They use that data to improve their marketing efforts and get a competitive advantage. As a result, the field of big data analytics has produced great demands for competent professionals who can handle big volumes of data and derive valuable insights to help organizations make crucial decisions. Data analytics has become so prominent that it is being used in different verticals across the world. Considering its widespread popularity and demand for professionals at managerial levels, young aspirants, who want to make a career out of it, can consider earning a credential in big data analytics. … Read More
Continue ReadingReasons to Pursue a Big Data Analytics Course
With increasing mobile penetration, heavy volumes of data are being produced every day. Organizations of all sizes use data for improving operations and making crucial decisions. The impact of data-driven marketing is evident across different industries like medical, insurance, banking, manufacturing, eCommerce, and so on. By relying on data collected from customers on day to day basis, Organizations are now able to use it to their benefits like for growth and expansion and getting a competitive edge to stay ahead in their respective niche. As a result, the field has produced a great demand for competent professionals who can help Organizations use their data in a much effective and efficient… Read More
Continue ReadingIntroduction to Multivariate Data Analysis
What is Multivariate Data Analysis? Data analysis is as old as data itself, however very early forms were limited due to the manual nature of analysis and later forms by computing power limitations. The explosion in data coincided with build-up of computer processing capacities and advanced data analysis techniques became accessible to governments, then organizations, and later, to anyone with a modern day personal computer. Multivariate statistics involves observation and analysis of multiple statistical variables at a time. The objective is to detect patterns and relationships between several variables simultaneously, and draw conclusions from them. The conclusions are usually in the form of establishing relationships that allow us to predict… Read More
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