Udemy - Data Science in R Bootcamp

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.7 GB
  • Uploaded Byfreecoursewb
  • Downloads60
  • Last checkedAug. 21st '21
  • Date uploadedAug. 18th '21
  • Seeders 5
  • Leechers5

Infohash : E6F2D5EAA1C978A76DD5D6917E4148EBC0183A6C

Data Science in R Bootcamp



Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.67 GB | Duration: 4h 14m
Learn the most important Data Science, Machine Learning and Statistical techniques - and how to perform them in R!
What you'll learn
The most in-demand skills required by employers
R coding skills that will put you ahead of your competition
Data Science and Machine Learning skills useful in any career path
How to download and run the programming language R
How to code basic algorithms in R
How to read in, manipulate and clean data
How to visualize your data with graphics, figures and listings
How to run advanced statistical analyses
And much more!

Description
Data Science / Machine Learning are two of the hottest fields in the job markets. Entry-level jobs are paying over $100,000, and every field is employing individuals who possess these skills. This course is designed to introduce you to the most important topics, and how to code for them in R.

This course is affordable, easy to follow, and teaches the newest and most important Data Science and Machine Learning skills! Do you want to gain an edge in the job market/coursework? Are you a beginner/intermediate level Data Scientist or Programmer? If so, this course is for you!

In this course, you will learn the newest & most important Data Science, Machine Learning, and Statistical methods, and how to perform them in R. You will learn the following (and much more!):

Files:

[ FreeCourseWeb.com ] Udemy - Data Science in R Bootcamp
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 Introduction To R and R Studio
    • 001 Introduction to me, Data Science, and R.en.srt (13.7 KB)
    • 001 Introduction to me, Data Science, and R.mp4 (35.4 MB)
    • external-assets-links.txt (0.2 KB)
    02 Vectors and Vector Arithmetic
    • 001 Vectors and Vector Arithmetic.en.srt (67.5 KB)
    • 001 Vectors and Vector Arithmetic.mp4 (240.8 MB)
    • 002 Lecture2.R (2.0 KB)
    • external-assets-links.txt (0.1 KB)
    03 Datasets and Data Types
    • 001 Datasets and Data Types.en.srt (68.2 KB)
    • 001 Datasets and Data Types.mp4 (406.0 MB)
    • 003 Lecture3.R (1.7 KB)
    • external-assets-links.txt (0.2 KB)
    04 Visualizing Continuous and Categorical Data
    • 001 Visualizing Continuous and Categorical Data.en.srt (56.1 KB)
    • 001 Visualizing Continuous and Categorical Data.mp4 (248.6 MB)
    • 004 Lecture 4.R (2.4 KB)
    • external-assets-links.txt (0.2 KB)
    05 Statistical Analyses and Summaries
    • 001 Statistical Analysis in R.en.srt (59.2 KB)
    • 001 Statistical Analysis in R.mp4 (284.3 MB)
    • 005 Lecture 5.R (1.1 KB)
    • external-assets-links.txt (0.2 KB)
    06 Hypothesis Testing
    • 001 Hypothesis Testing.en.srt (61.7 KB)
    • 001 Hypothesis Testing.mp4 (270.5 MB)
    • 006 Lecture 6.R (2.2 KB)
    • external-assets-links.txt (0.4 KB)
    07 Linear Regression
    • 001 Linear Regression.en.srt (48.8 KB)
    • 001 Linear Regression.mp4 (233.7 MB)
    • 007 Lecture 7 .R (0.8 KB)
    • external-assets-links.txt (0.1 KB)
    • Bonus Resources.txt (0.3 KB)

Code:

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