This course teaches you how to use R Studio to develop consistent and coherent data analysis. Throughout the classes, you will get the following content: Module 1: First steps - installation and mathematical operations in R Studio. This module’s videos help you install R Studio and use its interface correctly. After that, you’ll learn how to use it to make different arithmetic calculations that will help you solve many practical problems. Module 2: Correlation analysisCorrelation analysis is one of the most prominent quantitative techniques in data analysis. It’s essential to check if variables are positively or negatively affected by each other. In this module, you’ll learn to use correlation analysis to measure the direction and strength of the relationship among variables. Module 3: Regression analysis - simple and multipleRegression analysis is widely used for identifying data behavior. It’s a classical quantitative technique with infinite applications in Economics, Physics, and Biology, among others. In this module, you’ll learn the two basic types of regression analysis: simple and multiple. The first is adequate when you’re dealing with two - and only two - variables. The second is appropriate for models comprising three or more variables. The classes are taught clearly and objectively, with a didactic approach emphasizing progressive learning. This way, you will study the critical content first, going deeper into the topics as the course progresses. That will allow you time to absorb everything taught in class! By the end of this course, you will be able to start doing your own data analysis with confidence and quality. Don’t miss this opportunity, and welcome to the course! Don’t miss this opportunity!
