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From day one of using Tableau, I found it to be a fantastic and easy way to visualize my data and produce great reports and analysis. Tableau is different from traditional business information analysis tools. You can navigate your way around the Tableau Desktop before delving into functions and calculations, as well as sharing with […]
Difference Between Linear Regression vs Logistic Regression The following article Linear Regression vs Logistic Regression provides the most important differences between both, but before we will see what does Regression means? Regression Regression is basically a statistical measure to determine the strength of the relationship between one dependent variable i.e. the output Y and a […]
Differences Between R vs SPSS The R statistical programming language is a free open source package based on the S language. R was developed by Ross Ihaka and Robert Gentleman in the University of Auckland, New Zealand. R is for data analysis and data visualization tool. There are several GUI editors of R language, out of […]
Top Key Differences Between R Programming vs Python Both R Programming vs Python are popular choices in the market; let us discuss the Top key Differences Between R Programming vs Python to know which is the best: R was created by Ross Ihaka and Robert Gentleman in the year 1995 whereas Python was created by Guido […]
Difference Between Regression vs ANOVA Regression analysis and ANOVA analysis are two methodologies widely used in statistics and are two sides of the same coin. ANOVA term refers to an analysis of variance while regression is a statistical tool. It is very difficult to distinguish between regression vs ANOVA as they are often used interchangeably […]
Differences between Predictive Analytics vs Statistics Predictive analytics is an advanced analytics technique. Predictive analytics uses both new and historical data to foresee the result, activity, behavior, and trends. Statistics is a branch of mathematics, mainly concerns about collection, analysis, interpretation, and presentation of tons of numerical facts. Statistics is used in almost every field […]
Difference Between Predictive Analytics vs Descriptive Analytics Predictive Analytics Predictive Analytics will help an organization to know what might happen next, it predicts future based on present data available. It will analyze the data and provide statements that have not happened yet. It makes all kinds of predictions that you want to know and all […]
Difference between Data Scientist and Business Analyst Data is playing a major role in the growth of any business exponentially. For the data to be understood with its trends, it requires lots of analysis and research. It requires special skills which help in understanding the pattern of data and to come to a conclusion that how will […]
Data Scientist vs Data Engineer vs Statistician – Big data is more than just two words and is exploding in an unprecedented manner. It is growing in terms of velocity, variety and volume at an unimaginable pace. It has taken the entire world by storm and is now available in real time, there by allowing brands to […]
Difference Between Artificial Intelligence and Business Intelligence Business Intelligence is a technology that is used to gather, store, access and analyzes data to help business users in making better decisions, on the other hand, Artificial Intelligence is a way to make a computer, a computer-controlled robot, or a software that think intelligently like humans.Artificial Intelligence […]
Differences Between Machine Learning vs Artificial Intelligence Machine Learning vs Artificial Intelligence are 2 highly regarded buzzwords straight away, and sometimes appear to be used interchangeably. They are the almost constant factor, however, the perception that there will typically cause some confusion. Thus I assumed it’d be price writing a chunk to clarify the distinction. […]
Intelligence can be defined as a general mental ability for reasoning, problem-solving, and learning. Because of its general nature, intelligence integrates cognitive functions such as perception, attention, memory, language, or planning. On the basis of this definition, intelligence can be reliably measured by standardized tests with obtained scores predicting several broad social outcomes such as […]