In this post we explore the usage of Multiple Linear Regression Analysis with an hands-on example. Linear Regression analysis is a widely used statistical technique to explore the relationships between numerical variables. If more than two variables are involved we call it “mult … | Continue reading
In this post we explore the usage of the independent t-test. The independent t-test is suited to situations in which you aim to compare two groups of a categorical variable on the basis of their distributions on a continuous variable, let’s check a practical example. | Continue reading
The regression methods are an integral component of any data analysis. Sometimes this involve develop a prediction model in which the outcome is a dichotomous variable. In this post we will talk about binomial logistic regression and when it's used. | Continue reading
In this we talk about some of the most prominent ways in which data analytics is transforming the telecom industry nowadays | Continue reading
Irrespective of your ecommerce store size and shape, data analytics tools can prove helpful for you to develop a better understanding of your marketing activities. | Continue reading
Data analytics tools are quite relevant for human resources to leverage employee information and take better and informed decisions in the prospect of employee growth. Let's deep dive a little more about the subject in this blog post. | Continue reading
Data analytics and statistics have undeniably played a very significant role in leveraging results for many sectors, and the marketing sector is no different. One of the most important ways is helping marketers of understanding consumer behavior. | Continue reading
There is no doubt about the fact that data analytics has many benefits for businesses, but somehow there are also many challenges that will come in your way while integrating data analytics in your marketing strategy. | Continue reading
Everything in the retail sector revolves around the customer and this is why data analytics has an important role to play in harnessing all the customer data for optimum results. Check this latest post that talks about how is data analytics transforming the retail industry. | Continue reading
An effective use of data analytical tools can help optimize results for the real estate industry in a number of ways. | Continue reading
Many times, the terms principal components and factors are often confused and sometimes used as synonyms. In this post, we will explore some of the differences between them. | Continue reading
Customer Analytics is a critical part of an organization’s marketing strategy to design appropriate, accurate and successful offers for their products and services. | Continue reading
In our days, to be competitive, it is fundamental to know more about the future, and this is possible through predictive analytics techniques. | Continue reading
Predictive analytical strategies can prove to be quite beneficial for businesses when it comes to customer churn prediction. | Continue reading
The basketball is one of the most popular sport in the world. In this post we will explore the height influence on NBA players (rebounding skills and field position) . Using statistical methods like simple correspondence analysis, chi-square, correlation methods. | Continue reading
Data driven results may help you to build the right promotional strategies and contests for your business. Check more about this in this short opinion article. | Continue reading
Data Analytics and Statistics are rapidly changing the way people used to run their business in the past. For data analytics not just helps drive performance for your business, but also gives you a competitive edge in your industry. Let's see more about it. | Continue reading
No first models should be done without a proper Exploratory Data Analysis. This will help us, for instance, to better understand the patterns within the data, detect outliers or anomalous events, find interesting relations among the variables. Let's check a little more about it. | Continue reading
Analysis of variance (ANOVA) is a general method of drawing conclusions regarding differences in population means when three or more comparison groups are involved. In this blog post we explore that in order to know the effect of position (goalkeeper, defender, midfielder or forw … | Continue reading
This post talks about Cronbach's alpha in Reliability Analysis. It measures the internal consistency of a construct, based on average inter-item correlation, and show how closely related a set of items are as a group. | Continue reading
This post talks about Correlation Analysis.In general, correlation allows to understand how two continuous variables are related, the strength of that relationship and its direction. Let's check how to do it! | Continue reading
Data analytics is a critical process which helps us gather, clean, inspect and model data to attain useful information concerning the respective matter. The useful information helps us support our conclusion to make the smartest decisions. In this post we start talking about what … | Continue reading
(Simple) Linear Regression Analysis is concerned with specifying the relationship between a single numeric dependent variable (the value to be predicted) and one numeric independent variable (the predictor). This post intends to be a short introduction to Linear Regression Analys … | Continue reading
Cluster analysis is a technique designed to reveal natural groupings within a collection of data. With Quark Analytics Portal you can access to this technique. There are a lot of clustering algorithms but one of the most common is K-Means clustering. | Continue reading
For small business, data analytics and statistics might seem like an unnecessary path to tread. But, when you are looking for practical results for your business, data analytics can give your real results irrespective of the size of your business. Here are some of the big questio … | Continue reading
In this post we talk about wine + analytics. Using a data-driven approach we aim to answer some questions about wine using the power of analytics. | Continue reading