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- 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 .
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- 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
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- 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.
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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

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

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

Numpy

Broadcasting of Numpy 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. If two Numpy arrays may having different shapes take operations, e.g. addition or subtraction, and their shapes are compatible for such operation. This is called broadcasting. The prerequisite of Read more…

By wilsonzhang746, 1 yearAugust 4, 2024 ago

Numpy

Views and copy 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. Same as with Python lists, simply using equal symbol to assign an array to a new object will make two arrays referring to the same array. Unlike lists, in Read more…

By wilsonzhang746, 1 yearAugust 3, 2024 ago

Numpy

How to split 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. A Numpy array can be divided into several arryas in Pyhton, and these kinds of operation are called splitting. In terms of row-wise or coloum-wise splitting, Numpy provide two Read more…

By wilsonzhang746, 1 yearAugust 2, 2024 ago

Numpy

Joining Numpy arrays using stacking operations in Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Two or more arrays with at least one dimension has the same shape, can be joined together to formulate a new array. These kinds of operations are called stacking. Read more…

By wilsonzhang746, 1 yearAugust 1, 2024 ago

Numpy

Numpy array shape manipulation, using reshape(),ravel() and transpose() in Python

We provide affordable online training course(via ZOOM meeting) for Python and R programming at fundamental level, click here for more details. Python Numpy module provides a series functions that can reshape Numpy arrays. When an array is created via Numpy, it has a shape and dimension. reshape() is used to Read more…

By wilsonzhang746, 1 yearJuly 31, 2024 ago

Numpy

Numpy 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.