Free Download Predictive Analytics and Modeling with R, Minitab, SPSS, and SAS Tutorial

If you are a newcomer to data analysis, this course is a great choice for you!

In Predictive Analytics and Modeling with R, Minitab, SPSS, and SAS Tutorial, you will learn to use the best tools in the industry to create predictive models and perform data analyses. First, you will learn all the necessary things about R Studio and the R programming language, such as installing and using different data types, vectors, matrices, and data frames. This part will teach you decision-making and data visualization.

We will create a Card Purchase Prediction project using R just to make sure you learn every concept. You will create a logistic regression model, save the model in R, and implement decision tree models.

Then, we will use our R knowledge in data science and learn concepts such as scoping rules, looping, simulation, and extensive plotting techniques. We will use Minitab for Statistical Analysis and meanwhile learn about probability distributions, hypothesis testing, sampling, measurement system analysis, process capability analysis, and more!

The next sections involve creating your predictive model with Minitab and using SAS Enterprise Miner for predictive analytics and modeling. The instructor teaches you how to work with SAS tables, create input data nodes, and utilize metadata advisor options.

This is a complete course for everyone from beginners to advanced students. Join us and start learning!