R Programming

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  • R Programming
    R Programming
    Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 10.2 GB
    Genre: eLearning Video | Duration: 39 lectures (20 hour, 45 mins) | Language: English

R Programming R Programming Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 10.2 GB Genre: eLearning Video | Duration: 39 lectures (20 hour, 45 mins) | Language: English R concepts, coding examples. Data structure, loops, functions, packages, Descriptions/charts, data/files, decision-making in R. What you'll learn Deep practical knowledge of R programming language Become a Data Scientist, Data Engineer, Data Analyst or Consultant Fundamentals and setup of R Language Get familiar with RStudio Variables and Data Types Input-Output Features in R Operators in R Data Structure in R Vectors, Lists and their application R Programs for Lists and Vectors in RStudio Matrix and application of Matrices in R with R Programs Arrays with R Programs for Arrays in RStudio Data Frames and R Programs for Data Frame in RStudio Factors, application of Factors, R Programs for Factors in RStudio Decision-making in R, types of decision-making statements with R Programs Loops in R, flowcharts and programs for loops in R Functions in R Strings in R Packages in R Data and File Management in R Descriptionting in R (graphs, charts, Descriptions, histograms) Write complex R programs for practical industry scenarios Requirements Enthusiasm and determination to make your mark on the world! Description 1. Fundamentals of R Language Introduction to R History of R Why R programming Language Comparison between R and Python Application of R 2. Setup of R Language Local Environment setup Installing R on Windows Installing R on Linux RStudio What is RStudio? Installation of RStudio First Program - Hello World 3. Variables and Data Types Variables in R Declaration of variable Variable assignment Finding variable Data types in R Data type conversion R programs for Variables and Data types in RStudio 4. Input-Output Features in R scan() function readline() function paste() function paste0() function cat() function R Programs for implementing these functions in RStudio 5. Operators in R Arithmetic Operators Relational Operators Logical Operators Assignment Operators Miscellaneous Operators R Programs to perform various operations using operators in RStudio 6. Data Structure in R (part-I) What is data structure? Types of data structure Vector - What is a vector in R? - Creating a vector - Accessing element of vector - Some more operations on vectors - R Programs for vectors in RStudio Application of Vector in R List - What is a list in R? - Creating a list - Accessing element of list - Modifying element of list - Some more operations on list R Programs for list in RStudio 7. Data Structure in R (part-II) Matrix or Matrices - What is matrix in R? - Creating a matrix - Accessing element of matrix - Modifying element of matrix - Matrix Operations R Programs for matrices in RStudio Application of Matrices in R Arrays - What are arrays in R? - Creating an array - Naming rows and columns - Accessing element of an array - Some more operations on arrays R Programs for arrays in RStudio 8. Data Structure in R (part-III) Data frame - What is a data frame in R? - Creating a data frame - Accessing element of data frame - Modifying element of data frame - Add the new element or component in data frame - Deleting element of data frame - Some more operations on data frame R Programs for data frame in RStudio Factors - Factors in R - Creating a factor - Accessing element of factor - Modifying element of factor R Programs for Factors in RStudio Application of Factors in R 9. Decision Making in R Introduction to Decision making Types of decision-making statements Introduction, syntax, flowchart and programs for - if statement - if...else statement - if...else if...else statement - switch statement 10. Loop control in R Introduction to loops in R Types of loops in R - for loop - while loop - repeat loop - nested loop break and next statement in R Introduction, syntax, flowchart and programs for - for loop - while loop - repeat loop - nested loop 11. Functions in R Introduction to function in R Built-in Function User-defined Function Creating a Function Function Components Calling a Function Recursive Function Various programs for functions in RStudio 12. Strings in R Introduction to string in R - Rules to write R Strings - Concatenate two or more strings in R - Find length of String in R - Extract Substring from a String in R - Changing the case i.e. Upper to lower case and lower to upper case Various programs for String in RStudio 13. Packages in R Introduction to Packages in R Get the list of all the packages installed in RStudio Installation of the packages How to use the packages in R Useful R Packages for Data Science R program for package in RStudio 14. Data and File Management in R Getting and Setting the Working Directory Input as CSV File Analysing the CSV File Writing into a CSV File R programs to implement CSV file 15. Descriptionting in R (Part-I) Line graph ScatterDescriptions Pie Charts 3D Pie Chart 16. Descriptionting in R (Part-II) Bar / line chart Histogram Box Description Who this course is for: R Developers & Data Developers Data Scientists - R, Python Newbies and beginners aspiring for a career in programming & statistical analysis Data Engineers and Statistical Analysts R & Python Programmers Technical & Analytics Consultants Anyone wishing to learn data science and machine learning Lead R Developers R Modelling Analysts Data Software Developers Financial and Marketing Analysts Software Engineers Web Application Developers Business Analysts and Consultants Data Science and Machine Learning enthusiasts Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
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