If yes, then start learning- Data Analysis and Visualization. You have prior programming experience and are familiar with mathematics (basic linear algebra, calculus, introductory probability).This course also has a series of Netflix Interview videos. You will learn by working on problem sets. Overall, this course is more practical in nature. This course also covers Logistic Regression, Linear Regression, and Regularization. These quizzes will help you to test your knowledge. There are various quizzes in each lesson. Then, you will learn some advanced concepts of R programming.Īfter that, you will learn data visualization basics and ggplot2. The course starts with an introduction to R Programming. R programming language is used in this course. This is another free course for learning data analysis and visualization. Data Analysis and Visualization– Udacity Rating. If yes, then start learning- Data Analysis with RĢ. You have prior knowledge of statistics.Most of the time, free courses lack content quality but this course is full of knowledge and covers some advanced concepts with quizzes, practice sets, and projects. In the end, there is one final project where you have to use R and apply exploratory data analysis techniques to explore relationships in one variable to multiple variables.

a problem set for exploring one variable, a problem set for exploring two and many variables.Īfter that, you will learn Linear Regression Models and predict diamond prices using other variables in the diamonds dataset. And there are problem sets associated with each lesson. Next, there are some lessons on exploring one variable, two variables, and many variables. In the next lesson, you will learn the basics of R Programming. The course begins with an explanation of EDA (exploratory data analysis) and the goals of EDA. This course has 10 lessons including one final project. This is an intermediate-level free course to learn data analysis using R programming.

Rstudio online learning