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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

Python

Course registration link:

https://rdatacode.com/contact-us/

Python fundamental tutorials:
Data structure, function creation, control flow, Numpy, Pandas, visualization using matplotlib.

Python statistics:

Doing 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.

Python machine learning:

tensorflow, keras, scikit-learn.

How to create a Pandas Series from a Python dictionary

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Pandas Series is a type of data object that stores labeled information. A Series can be created from by inputting a Python dictionary, which stores key-value pairs information. The Read more…

By wilsonzhang746, 1 yearAugust 20, 2024 ago

Pandas

Handling NaN (not a number) values in Pandas Series using Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. In Python programming, NaN (not a number) values denotes those missing values, and values that not available among various calculations, such as divided by zero or logarithm of a Read more…

By wilsonzhang746, 1 yearAugust 19, 2024 ago

Numpy

Working with duplicate values in Pandas Series with Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. When a Pandas Series data object is created in Python, is values can be evaluated with respect to duplicate values. Pandas provides several handy functions dealing with duplicate values Read more…

By wilsonzhang746, 1 yearAugust 18, 2024 ago

Pandas

How to filter a Pandas Series in Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Series is a data structure type that stores one dimensional labeled data in Pandas module in Python. When a Series is created, its value can be filtered using loc() Read more…

By wilsonzhang746, 1 yearAugust 17, 2024 ago

Numpy

How to filter values of Numpy array in Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. When a Numpy array is created, its values can be filtered, mainly via conditional tests statement. We provides several examples of filtering array in the following examples. Numpy provides Read more…

By wilsonzhang746, 1 yearAugust 16, 2024 ago

Pandas

How to create Pandas Series from Numpy array in Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Pandas module in Python provides two data structures, namely Series and Data Frame. While a Data Frame is a tabular dataset has similar mechanism like a spreadsheet, a Series Read more…

By wilsonzhang746, 1 yearAugust 15, 2024 ago

Pandas

How to create Pandas data structure Series in Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Pandas is a library module designed in Python programming. It is specific for data structure with labeled data. Pandas provides two data structure types, Series and Data Frame. Series Read more…

By wilsonzhang746, 1 yearAugust 14, 2024 ago

Numpy

How to read csv file using Numpy in Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Numpy module has a function genfromtxt() that is used to read tabular data format into an array. The option for the function is the file name in working directory, Read more…

By wilsonzhang746, 1 yearAugust 7, 2024 ago

Numpy

How to save and read Numpy array in Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. When you are doing data analysis with Numpy module in Python, it is not uncommon that the array data information needs to be stored on local driver, then it Read more…

By wilsonzhang746, 1 yearAugust 6, 2024 ago

Numpy

How to create structured arrays in Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. We know Numpy arrays are data objects that store same type of data in one object. However, this statement is not strictly correct. Numpy provides also availability to create Read more…

By wilsonzhang746, 1 yearAugust 5, 2024 ago