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R and Python Course Instructor

Click her for course registration ! Wilson, the founder of rdatacode.com, was educated towards master degrees in Economics and Logistics and bachelor degree in Engineering. Wilson is now living in Norway, and has had over 10 years experience in working with data analysis at research center in Norway. Wilson’s main expertise lies in statistics, data analysis using R and Python in general, statistical modeling using R at basic and intermediate level. In recent years, Wilson Read more…

By wilsonzhang746, ago

Python Basic Course

For online Python training registration, click here ! Python has been regarded as one the most used programming languages in the last decade. With the development of AI, Python’s popularity remains even stronger. Python’s practicability lies not only in general data analysis, but also in web building, machine learning, deep learning, and artificial intelligence. Its language structure is easy to start, and was thought to be significantly easier compared with compiled language like C++. In Read more…

By wilsonzhang746, ago

R Basic Course

Click here for online course registration ! R is a popular programming language, It is free and open source. R has been widely used in the field of statistical data analysis, econometrics, machine learning , just name a few in the last almost three decades. R is regarded as the easy-to-use and easy-to-learn statistics software, as well as its abundance of packages in almost all the areas in data science. In this course, we provide Read more…

By wilsonzhang746, ago

Assessing Normality Assumption for Linear Regression in R

The normality assumption in linear regression is necessary to ensure the estimates of parameters are unbiased and the hypothesis testing is correct. It states that for the fixed or given values of explanatory variables, the dependent variables are normally distributed around the mean 0. It is equivalent to say that the residuals after model estimation follow a normal distribution with the mean 0.

By wilsonzhang746, ago

Recode variables in R

In data analysis it is often needed to set new values to a variable based on one or several conditions, and these kinds of operations are called recode variables. The most frequently applied recoding variables in R may be the setting some values to missing values (NA), and recoding a continuous to the values of a categorical variable.

By wilsonzhang746, ago