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    • Python Course Source FilesDownload Python Course source files
    • R Course Source FilesDownload R Course code source files.
    • Python Machine Learning Source FilesGithub link for Python Machine Learning Source Files
  • R Programming
    • DplyrR tidyverse frame, and Dplyr plackege. Using pipe structure to chain fucntions together. Filter commands of Dplyr in R Arange functions of Dplyr in R, Rename the column name in R using Dplyr, Mutate, Select to Choose Variables/Columns, Joins, Slice, Summarise, Gather, Spread , Separate , n(),Nth,n_distinct() , na_if, coalesce , Ranking functions , Sampling, count , case_when , Group By .
    • ggplot2R graphic plackage ggplot2. Introduction of ggplot2, Start building a graph and Add Geoms in ggplot() , Using Grouping, Using Scales , Using Facets , Formulate Labels, Formulate Themes , Graphs as objects , Saving graphs , Bar charts, Pie charts , Histograms , Box plots, Kernel density plots , Violin Plots , Scatter plots , Dot plots , Stem and Leaf Plots , Tree maps , Lollipop , Diverging Bars , Colorful Display of Categorical/Character Frequencies , Nested Pie Chart using plotly , Bubble Plot , step chart , Heatmap.
    • R Advanced Data ManagementThis section and category includes mainly intermediate and more advanced techniques for R data analysis. It specially involve R mathematical functions, R Statistical functions, Probability functions in R, and R Character functions. Apply function as well as in this family, descriptive statistics, and table function family are talked about in this section too. We will also focus on how to write your own functions in R, and how to use control flow. In addition, some frequently used techniques such as reshaping, aggregating dataset are introduced.
    • R Basic Data ManagementR basic data management contains recode and rename variables, sorting , sorting data, handling missing values, using data values. There are also reshaping data, merging data , and subset of data frame in this category.
    • R Data Structure DatasetThis section introduces R data structures: One-dimensional data structure Vector; 2-dimensional data structure Matrix; n-dimensional data structure Array; tabular data structure Data Frame; and data structure List which can store any other type data objects. And this section also introduce how to create R data structure: using read.table() function to read text or csv files to create a data frame; using read.csv() function to read csv file to create a data frame. This section also introduces several functions: with().
  • Python
    • NumpyNumpy module, ndarray, data type.Numpy array include creation of ndarray, and indexing , slicing of the array, and broadcasting array, reading data to return array, etc.
    • PandasPython Pandas module. Data structure Series, Data Frame.
    • Python ClassObject oriented programming in Python uses class. Class definition contains attributes, methods creation. Particular objects(instance) belonging to a class can be created by call a class, or instantiation. The attributes of an object can be directly assigned a new value, by using methods defined in class, etc.
    • Python dictionaryDictionary is a data object type in Python. It stores key-value pairs information. The creation of a dictionary uses braces.
    • Python FunctionFunctions in Python a block of code doing some specific job. Python uses def keyword to define a function. A function can contain argument, default value for the arguments, etc. Functions can be called when it is doing real tasks. And parameters are passed to the function when it is called.
    • Python ListIntroducing lists Changing, Appending,Removing items of Lists . Sorting lists. Looping through a list. Making Numerical Lists . List comprehension and Working with Part of a List. Tuples. Building sets. Removing items from a set – remove(), pop(),and difference. Using a while Loop with Lists. Set operation.
    • Python loopingfor and while loop in Python
    • Python Machine LearningMachine learning algorithms in Python programming. The topics include document sentiment analysis, logistic regression, linear regression, and computer vision, CNN, RNN with PyTorch, Tensorflow.
    • Python StringPython denotes information stored in quotes are string, no matter it is number or words inside the quotes. Both double quotes and single quotes can be used to create a string.
  • Statistics
    • Statistics distributionStatistical distributions contains both continuous and discrete random distributions. Discrete distributions include binomial, Poisson,  Hypergeometric, Negative Binomial, Geometric. Continuous distributions contain Normal, Exponential, Gamma, Beta, Chi-square, Lognormal, t, F, and Weibull distribution.
    • Statistics Using PythonDoing and discovering statistics using Python programming. Python functions handling calculating the density, cumulative probability, quantile and random number generation for different statistical distributions: Normal distribution, t distribution, gamma distribution, chi-square distribution, F distribution, beta distribution, Hypothesis testing, etc. Linear regression and Generalized linear models using Python programming. ANOVA, factor analysis using Python programming. Clustering model using Python programming.
    • Statistics Using RDoing and discovering statistics using R programming. R functions handling calculating the density, cumulative probability, quantile and random number generation for different statistical distributions: Normal distribution, t distribution, gamma distribution, chi-square distribution, F distribution, beta distribution, etc. Linear regression and Generalized linear models using R programming. Discrete choice modeling using R programming. ANOVA, factor analysis using R programming. Clustering model using R programming.
  • Course
    • Course Registration
    • Course InstructorCourse instructor introduction
    • R Basic CourseR fundamental programming course.
    • Python Basic CoursePython Basic Course

wilsonzhang746

R Basic Data Management

Variable type and conversion in R

We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! In R programming, variable type can be numeric or character. Categorical variables are usually called factors. R provides a series of functions working with specific type test and type Read more…

By wilsonzhang746, 1 yearMay 24, 2024 ago
Statistics Using Python

Calculate mean, median and mode using Python

We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! Mean, median and mode are three statistics that measure the central tendency of numerical data. Mean is the average of sample, and median the mid point of the sample Read more…

By wilsonzhang746, 1 yearMay 21, 2024 ago
R Advanced Data Management

Environment system in R programming

We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! R’s environment system behaves as a hierarchical folder system where objects in an R session are located. So when a R session is started, and with several objects created, Read more…

By wilsonzhang746, 1 yearMay 19, 2024 ago
Python

Sorting a list in Python

We provide effective and economically affordable training courses for R and Python, Click here for more details and course registration ! When a list is created in Python, the order of its element contained can be sorted in alphabetical order later. There are mainly two functions for sorting a list Read more…

By wilsonzhang746, 1 yearMay 14, 2024 ago
ggplot2

Combination of a box plot and a violin plot using ggplot2 in R

We provide effective and economically affordable training courses for R and Python, Click here for more details and course registration ! A Box plot shows descriptive statistics of a continuous with a box and whispers. Five statistics of the variable, namely, the minimum and the maximum, the median, and the Read more…

By wilsonzhang746, 1 yearMay 13, 2024 ago
ggplot2

Plot histograms using ggplot2 in R

We provide effective and economically affordable training courses for R and Python, Click here for more details and course registration ! Histogram is a type of graph that shows the distribution of a continuous variable. The range of value of the variable is divided into parts (range), then the frequency Read more…

By wilsonzhang746, 1 yearMay 11, 2024 ago
ggplot2

Plot Barchart with ggplot2 in R

We provide effective and economically affordable training courses for R and Python, Click here for more details and course registration ! Barcharts can be used to plot the frequency of a single categorical variable, or illustrate the cross relationship between two or more categorical variables. In R programming, function geom_bar() Read more…

By wilsonzhang746, 1 yearMay 9, 2024 ago
Instructor

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 Read more…

By wilsonzhang746, 1 yearApril 30, 2024 ago
Python Basic Course

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 Read more…

By wilsonzhang746, 1 yearApril 30, 2024 ago
R Basic Course

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 Read more…

By wilsonzhang746, 1 yearApril 30, 2024 ago

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