Explore Data Analytics with this guide and practical demo. Learn about what is Data Analytics and Discover how to turn information into insights.
normal distribution is a bell-shaped curve which is used to display the distribution of independent and similar data values. In any normal distribution, data is symmetrical and distributed in fixed intervals around the mean. In terms of standard deviation, a graph (or curve) with a high, narro...
JSON, XML or Resource Description Framework (RDF) file. When a data set is available in multiple formats, the expectation is that each file contains the same set of records, with each record formatted according to the applicable
Data mining is the process of using statistical analysis and machine learning to discover hidden patterns, correlations, and anomalies within large datasets.
Multivariate non-graphical Multivariate graphical Univariate non-graphical This is simplest form of data analysis, where the data being analyzed consists of just one variable. Since it’s a single variable, it doesn’t deal with causes or relationships. The main purpose of univariate analysis is to...
Common examples of multivariate tests include: Using multivariate testing as a method ofwebsite optimizationis a powerful method of gathering visitor and user data that gives detailed insights into complex customer behavior. The data uncovered in multivariate testing removes doubt and uncertainty from web...
It’s a crucial step in the data analysis process—and a technique (or art form!) that all areas of business can benefit from. In this guide, we’ll tell you everything you need to know about data visualization (also known as data viz). We’ll explain what it is, why it matters,...
What is data mining? Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Data mining techniques and tools help enterprises to predict future trends and make more informed business decisions....
Data mining is the process of using statistical analysis and machine learning to discover hidden patterns, correlations, and anomalies within large datasets.
What is the role of data and analytics in business? The role of data and analytics is to equip businesses, their employees and leaders to make better decisions and improve decision outcomes. This applies to all types of decisions, including macro, micro, real-time, cyclical, strategic, tactica...