At DAVHILL we are constantly on the lookout for free training resources that help people at all technical levels to develop their Business Intelligence skill set. The courses identified below are complementary to the programs that we offer (see our Training Page for more details.

Note that we are not in partnership  with the organizations that provide these courses or generate any revenue from recommending then. We also take no legal responsibility for anybody wishing to participate in theses courses.

Power BI

Analyzing and Visualizing Data with Power BI (Publisher EDX, Author Microsoft)
This course is HIGHLY recommended by DAVHILL for first time Power BI users. It walks you through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users.

R Script

Data Science: R Basics (Publisher EDX, Author Microsoft)
Basic building blocks of R. The course covers data wrangling with dplyr, visualization with ggplot2, probability, inference, regression and machine learning.

Beginners Guide to R (Publisher Computerworld, Author Sharon Machlis)
This is a fantastic resource for the R newbie, as stated in the introduction page “Our aim here isn't R mastery, but giving you a path to start using R for basic data work: Extracting key statistics out of a data set, exploring a data set with basic graphics and reshaping data to make it easier to analyze”

Introduction to R for Data Science (Publisher EDX, Author Microsoft) 
Learn the R statistical programming language, the lingua franca of data science in this hands-on course.

Analyzing Big Data with Microsoft R (Publisher EDX, Author Microsoft)
Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages.

Data Science

Data Science Essentials (Publisher EDX, Author Microsoft)
Explore data visualization and exploration concepts with experts and get an introduction to machine learning.