Udemy - R Level 1 - Data Analytics with R

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[ DevCourseWeb.com ] Udemy - R Level 1 - Data Analytics with R
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Introduction - the very Basics of R
    • 001 R Level 1 Intro.mp4 (15.4 MB)
    • 001 R Level 1 Intro_en.srt (2.9 KB)
    • 002 Download R and RStudio.mp4 (10.9 MB)
    • 003 RStudio Orientation.mp4 (49.0 MB)
    • 003 RStudio Orientation_en.srt (21.5 KB)
    • 004 The Structure of the R Ecosystem.mp4 (42.4 MB)
    • 004 The Structure of the R Ecosystem_en.srt (17.2 KB)
    • 005 R Help Features.mp4 (56.1 MB)
    • 005 R Help Features_en.srt (20.1 KB)
    • 006 R Basics Script.html (8.3 KB)
    • 007 Using the R Functions.mp4 (28.4 MB)
    • 008 R Exercises.mp4 (16.1 MB)
    • 009 Three Common Mistakes of R Beginners.mp4 (28.9 MB)
    • 009 Three Common Mistakes of R Beginners_en.srt (11.9 KB)
    • 010 Your first Lines of R.mp4 (35.5 MB)
    • 010 Your first Lines of R_en.srt (16.0 KB)
    • 011 Using some basic Functions.mp4 (30.8 MB)
    • 011 Using some basic Functions_en.srt (13.8 KB)
    • 012 Exercise and Solutions - Basic Coding.mp4 (17.1 MB)
    • 012 Exercise and Solutions - Basic Coding_en.srt (7.3 KB)
    • 013 R Datasets and Dataframes.mp4 (24.2 MB)
    • 013 R Datasets and Dataframes_en.srt (10.3 KB)
    • 014 Basic Graphs in R 1.mp4 (31.5 MB)
    • 014 Basic Graphs in R 1_en.srt (12.7 KB)
    • 015 Basic Graphs in R 2.mp4 (41.1 MB)
    • 015 Basic Graphs in R 2_en.srt (17.7 KB)
    • 016 Exercise and Solutions - Basic Graphs.mp4 (8.1 MB)
    • 016 Exercise and Solutions - Basic Graphs_en.srt (3.3 KB)
    • 017 Thoughts on Learning R.mp4 (40.4 MB)
    • 017 Thoughts on Learning R_en.srt (16.0 KB)
    02 - Theoretical background
    • 001 Operators in R.encrypted.m4a (2.6 MB)
    • 001 Operators in R.encrypted.mp4 (9.0 MB)
    • 001 Operators in R_en.srt (5.4 KB)
    • 002 Operators.pdf (369.9 KB)
    • 003 Object types.mp4 (31.9 MB)
    • 003 Object types_en.srt (11.8 KB)
    • 004 Introduction-to-common-types-of-objects-in-R.pdf (406.1 KB)
    • 005 Data types.encrypted.m4a (2.8 MB)
    • 005 Data types.encrypted.mp4 (13.1 MB)
    • 006 data-types-level1.pdf (344.7 KB)
    • 007 Random number generation.encrypted.m4a (2.9 MB)
    • 007 Random number generation.encrypted.mp4 (14.0 MB)
    • 007 Random number generation_en.srt (6.1 KB)
    • 008 Exercise random number generation.encrypted.m4a (586.7 KB)
    • 008 Exercise random number generation.encrypted.mp4 (2.0 MB)
    • 008 Exercise random number generation_en.srt (1.1 KB)
    • 009 Solution random number generation.encrypted.m4a (2.1 MB)
    • 009 Solution random number generation.encrypted.mp4 (9.4 MB)
    • 009 Solution random number generation_en.srt (4.0 KB)
    • 010 Random-nr-generation.pdf (255.0 KB)
    • 011 ExportImport of Excel files.encrypted.m4a (3.3 MB)
    • 011 ExportImport of Excel files.encrypted.mp4 (17.8 MB)
    • 011 ExportImport of Excel files_en.srt (7.7 KB)
    • 012 Data-export-import-script.pdf (279.1 KB)
    03 - Creating objects
    • 001 Matrices part 1.encrypted.m4a (3.2 MB)
    • 001 Matrices part 1.encrypted.mp4 (15.6 MB)
    • 001 Matrices part 1_en.srt (6.7 KB)
    • 002 Matrices part 2.encrypted.m4a (2.3 MB)
    • 002 Matrices part 2.encrypted.mp4 (11.3 MB)
    • 003 Exercise matrices.encrypted.m4a (318.6 KB)
    • 003 Exercise matrices.encrypted.mp4 (1.1 MB)
    • 003 Exercise matrices_en.srt (0.7 KB)
    • 004 Solution matrices.encrypted.m4a (658.7 KB)
    • 004 Solution matrices.encrypted.mp4 (2.5 MB)
    • 004 Solution matrices_en.srt (1.5 KB)
    • 005 Matrices-script.pdf (257.4 KB)
    • 006 Lists in R.encrypted.m4a (3.5 MB)
    • 006 Lists in R.encrypted.mp4 (15.4 MB)
    • 006 Lists in R_en.srt (7.8 KB)
    • 007 Exercise and solution Lists in R.encrypted.m4a (838.9 KB)
    • 007 Exercise and solution Lists in R.encrypted.mp4 (2.5 MB)
    • 007 Exercise and solution Lists in R_en.srt (1.9 KB)
    • 008 Lists-in-R.pdf (254.6 KB)
    • 009 Data Frames part 1.encrypted.m4a (2.4 MB)
    • 009 Data Frames part 1.encrypted.mp4 (13.1 MB)
    • 009 Data Frames part 1_en.srt (5.9 KB)
    • 010 Data Frames part 2.encrypted.m4a (2.5 MB)
    • 010 Data Frames part 2.encrypted.mp4 (13.7 MB)
    • 011 Factors.encrypted.m4a (1.2 MB)
    • 011 Factors.encrypted.mp4 (8.2 MB)
    • 011 Factors_en.srt (2.7 KB)
    • 012 Exercise and solution Data Frames.encrypted.m4a (1.8 MB)
    • 012 Exercise and solution Data Frames.encrypted.mp4 (7.9 MB)
    • 013 Data-Frames-in-R.pdf (274.4 KB)
    • 014 Factors-in-R.pdf (390.7 KB)
    04 - Functions in R
    • 001 Intro to functions in R.mp4 (8.3 MB)
    • 001 Intro to functions in R_en.srt (4.0 KB)
    • 002 Open ended functions.encrypted.m4a (1.3 MB)
    • 002 Open ended functions.encrypted.mp4 (6.1 MB)
    • 002 Open ended functions_en.srt (2.9 KB)
    • 003 Ifelse statement and summary.encrypted.m4a (3.3 MB)
    • 003 Ifelse statement and summary.encrypted.mp4 (14.7 MB)
    • 003 Ifelse statement and summary_en.srt (7.6 KB)
    • 004 Exercise and solution functions.encrypted.m4a (3.5 MB)
    • 004 Exercise and solution functions.encrypted.mp4 (15.4 MB)
    • 004 Exercise and solution functions_en.srt (8.1 KB)
    • 005 merged.pdf (1.3 MB)
    • 006 Functions Script txt.html (4.3 KB)
    05 - Loops
    • 001 Introduction to loops and If statement.encrypted.m4a (3.2 MB)
    • 001 Introduction to loops and If statement.encrypted.mp4 (12.6 MB)
    • 001 Introduction to loops and If statement_en.srt (7.7 KB)
    • 002 For loop.encrypted.m4a (3.0 MB)
    • 002 For loop.encrypted.mp4 (11.9 MB)
    • 003 While loop.encrypted.m4a (2.2 MB)
    • 003 While loop.encrypted.mp4 (9.3 MB)
    • 003 While loop_en.srt (5.0 KB)
    • 004 Repeat loop and loop summary.encrypted.m4a (3.0 MB)
    • 004 Repeat loop and loop summary.encrypt

Description

R Level 1 - Data Analytics with R



https://DevCourseWeb.com

Last updated 4/2019
Duration: 8h42m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.34 GB
Genre: eLearning | Language: English

Use R for Data Analytics and Data Mining

What you'll learn
this course will show you how the most common types of graphs can be produced with R base
you will get a good understanding of functions and loops in R which are very useful programming skills to have
you will get the necessary theoretical background for R
you will learn how to create and handle different types of objects
you will get fluent in the R programming language to master your specific quantitative tasks
Requirements
interest in statistical programming
R and RStudio ready on your computer
basic understanding of statistics and data structure
Description

Are you new to R?



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Udemy - R Level 1 - Data Analytics with R


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1.3 GB
seeders:1
leechers:15
Udemy - R Level 1 - Data Analytics with R


Torrent hash: C7A67156DAAE6044298289E81A16A865A45095A1