R Programming for Data Science - 3 in 1 Course (Basics - Data Analysis - Machine Learning)

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Hello everyone, welcome to the R programming for data science course! If you're looking to master one of the most powerful statistical programming languages used in data analysis and visualization, you've come to the right place. In this course, we delve deep into the fundamentals of R, equipping you with essential skills to manipulate data, perform statistical analysis, create stunning visualizations. Thanks for watching my video.

Some other videos I published:

Chapters:
00:00 Introduction & R Programming Basics
09:05 Data Analysis
22:45 Machine Learning

#datascience #dataanalysis #dataanalytics #data #dataengineering #datascientist #datascientists #machinelearning #rprogrammingforbeginners #rprogramming #r #rprogram #statistics #econometrics
  1. Data Science with Onur
  2. Data Science
  3. Data Analysis
  4. Data Engineering
  5. Machine Learning
  6. Deep Learning
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Комментарии
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I prefer to use the pipe approach:
mtcars %>% filter(....) or mtcars %>% But it's just a matter of preferences

MyChusko
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Hello everyone, I created a data science discord server. You can ask questions, contribute to the discussions and get help from the text channels this server. Additionally, I'll be sharing my new videos in the server, so you can join and never miss any of the content I publish.Thanks for reading!

onurdatascience
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Why are you not using R studio? is there's any specific reason to use collab notebook rather than R studio

Hitmonle
visit shbcf.ru