R is broad and powerful, with many analytic and graphic functions available (more than 50,000). With guidelines and instructions, you can navigate the tremendous resources available in R thereby accomplishing your work with style, elegance and efficiency.
Many people and researchers despise statistics, mainly due to non-mathematical background. This makes understanding complex statistical equations very difficult. The advent of computer programs such as R and the likes provide a unique opportunity to teach statistics at a conceptual level without getting too bogged down in equations. However, the downside of the computer is that it makes it easy to err critically if we do not understand what we are doing. Running an analysis using a computer without any statistical knowledge can be really misleading. Hence this course could be called Unearthing the Statistician in You Using R.
The course is the first of 3 levels, i.e. Essential, Intermediate, and Advanced levels. This will start you off using slow organic tutoring, beginning with the basic structures of the R codes and key statistical concepts leading to a discovery journey that will allow you to quickly access the power of this great open-source endeavor. This course attempts to strike a good balance between theory and practice by using the computer as a tool for learning statistical concepts with the hope that you will gain a better understanding of both theory and practice.
Thank you for registering your interest in the first of the three-course series "Essential Level: Academic Data Analysis Bootcamp Using Open-Access Program R" organized by the Academic Data Analysts (
Thank you for registering your interest in the first of the three-course series "Essential Level: Academic Data Analysis Bootcamp Using Open-Access Program R" organized by the Academic Data Analysts (
Thank you for registering your interest in the first of the three-course series "Essential Level: Academic Data Analysis Bootcamp Using Open-Access Program R" organized by the Academic Data Analysts (
Thank you for registering your interest in the first of the three-course series "Essential Level: Academic Data Analysis Bootcamp Using Open-Access Program R" organized by the Academic Data Analysts (