In: Computer Science
Why is it important for data analysts to understand the mathematical foundations of analysis?
Explain what objects are in R, and how they are used. Provide at least 2 examples.
Explain how programming depends upon the relationship between arrays, vectors, and matrixes.
Provide the URL for at least 1 professional resource that you will use as a professional data analyst. Explain the benefits of using this resource.
It is important for data analyst to understand the mathematical foundationas analysis as we know mathematics is the important and basic part of science.While dealing with the data in data science it is important to know the various techniques in the maths.For example Staticstics.This technique is used in analysing data,tasks,surveys.For data analyst it is important to know calculus,linera algebra.This mathematical foundations are required for data analyst because their measure work is carried out using large volume of data.
There are 6 types of objects in R programming vector,list,matrix,array,factor and data frame.Vectors are the basic objects in R.There are mainly 6 types of vectors in R programming.List contains elements of different types.For example it can contains matrix as the elements of lists.It is created using the function list().Matrix is used to arrange the elements in two dimension.Array is R programming is used to store data.The data in array is stored in more than 2 dimension.In factors data is stored as levels.In data frame, each row is of the value set from each column and in column there is value of one variable.Example of vector - vector() then output form this will be logical(0).
I will use various websites various courses to increase my knowledge as a data analyst.Various courses are availble on the courseera,udemy,udacity etc are helpful for me to increase my knwledge.
By using this resources it will be helpful for me to clear my concepts from basics.The knowledge in my field will be increased with all the basics and fundamentals.