Learn Regression, Clustering, Forecasting, Text Mining using Tableau

Data Science using Tableau is designed to cover majority of the capabilities of Tableau from Analytics & Data Science perspective, which includes the following:

Learn about the basic statistics, including measures of central tendency, dispersion, skewness, kurtosis, graphical representation, probability, probability distribution, etc.
Learn about scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required for Linear Regression understanding
Learn about the usage of Tableau for building Linear Regression
Learn about building logarithmic, exponential & polynomial regression models using Tableau
Learn about the K-Means clustering algorithm & how to use Tableau to accomplish the same
Learn about the science behind text mining, word cloud, sentiment analysis & accomplish the same using Tableau
Learn about Forecasting models including AR, MA, ES, ARMA, ARIMA, etc., and how to accomplish the same using Tableau Trend Lines
Learn about Logistic Regression & how to accomplish the same using Tableau