## 25 Feb Pearson and Spearman Correlations in R

In this post we will use a practical example using R to caclulate Spearman and Pearson correlations....

In this post we will use a practical example using R to caclulate Spearman and Pearson correlations....

In this post we will learn about some important correlation coefficients, essential for exploratory data analysis and model building....

Execution time is essential in modern data analysis. Due to the vast amount of available data, minimizing execution time can be highly beneficial in large scale projects where delivery time and proper evaluation is of utmost importance....

Linear regression is one of the most popuar econometrics models. In this post you will learn that in order to define correctly a linear regression model, certain assumptions must be true....

Linear regression is one of the most popuar econometrics models. In this post we will make a gentle introduction to some mathematical formulas describing the linear regression process....

In this fifth post of the series, we will present briefly the necessary steps in order to produce time series forecasts....

In this post you will learn the steps to take in order to decide whether a time series is stationary or not by inspecting graphically and statistically the time series....

In this post, the fourth of the sereis regarding time series analysis, we will discuss about stationarity, an important concept in time series analysis....

In this third post about time series analysis, you will learn about the two main categories in forecasting modeling of time series....

In this post we will discuss about time series components such as: seasonality, trend, cyclicality and irregularity....

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