WHAT IS DEMONETIZATION The term demonetization is not new to the Indian economy. The highest denomination note ever printed by the Reserve Bank of India was the Rs 10,000 note in 1938 and again in 1954. But these notes were demonetized in January 1946 and again in January 1978, according to RBI data. Demonetization is…
Chi-Square Test The chi-square statistic is represented by χ2. The tests associated with this particular statistic are used when your variables are at the nominal and ordinal levels of measurement – that is, when your data is categorical. Briefly, chi-square tests provide a means of determining whether a set of observed frequencies deviate significantly from…
Correlation The word correlation is used in everyday life to denote some form of relationships. However, in statistical terms we use correlation to denote association between two quantitative variables. Correlation is one of the most common and most useful statistics. A correlation is a single number that describes the degree of relationship between two numeric…
Data is increasingly becoming cheap and important. We are now digitizing analog content that was created over centuries and collecting myriad new types of data from web logs, mobile devices, sensors, instruments, and transactions. A study estimates that 90 percent of the data in the world today has been created in the past two years…
Analytics: Demand and Supply in India Necessity is the mother of all invention. When we required information we can’t overlook the existence of huge data. A raw data when processed give us useful information which helps us to solve various day today problems. When there is data their needs to be its analysis and here…
Machine Learning, Types and its Applications Machine learning is a subset of computer science that can be evaluated from “computational learning theory” in “Artificial intelligence”. By definition it is a “Field of study that gives computers the ability to learn without being explicitly programmed”. Machine learning mainly focuses in the study and construction of algorithms…
Analytics in Banking: Banks day to day generate huge data due to n number of transactions. To get insights out of this data banks have started using Analytics long time back. These are some of the following work in which bank is using Analytics widely: Fraud Detection and Money Laundering Banks are using Analytics to…
INTRODUCTION: Data Analytics is one of biggest growing domain for today. Everyone try to get into this domain by updating their skills. All businesses are looking for new insights by using their own historical values, trying to improve their service or product or customer satisfaction. Businesses always look for improvement and more customer base. They…
Hands on Statistical and Data Visualization Tool: Analyst/Aspirant should have fair knowledge of Quantitative Techniques/Statistical tests. They should be able to work with any of the statistical tools such as SAS (Statistical Analysis System), R, Tableau, Minitab, MS Excel etc. Analysts must understand and able to interpret Descriptive Statistics.In current scenario Aspirants have an added advantage…
The demand of Advance Analytics Experts and Big Data Analytics Experts is growing and it will take years to fill this gap. According to survey ‘InformationWeek, 2012 IT staffing survey’ conducted byInformationWeek, it is expected that there will increase in demand for experts in Big Data Analytics to 30% or more in coming two years….
