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R Programming from Scratch for Data Science- Hands On! [Udemy Free Course]

R Programming from Scratch for Data Science- Hands On! [Udemy Free Course]


Data Visualization, Data Manipulation, Statistical Analysis, GGPlot2, Data Science, Dplyr Package, Hypothesis Testing

Discount - Free

  • Lectures - 137 Lectures
  • Skill Level -Beginner Level
  • Language - English
  • Published -7/2018
Take this course!

Course Includes

  • Learn the fundamentals of programming in R
  • Why R is a Must Have for Data Science , AI and Machine Learning!
  • Right Guidance of the Path if You want to be a Data Scientist + Interview Preparation Guide
  • Different kind of Roles in Analytics
  • How to switch career in Data Science??
  • R Programming Basics for Data Scientist
  • R Data Structure - Matrix, Array, Data Frame, Factor, List
  • Work with R’s conditional statements, functions, and loops
  • Systematically explore data in R
  • Dplyr Package, ggplot2 package
  • Index, slice, and subset data
  • Get your data in and out of R - CSV, Excel, Database, Web, Text Data
  • Visualise data: plot different types of data & draw insights like: Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, 3D Plot, Mosaic Plot
  • Data Manipulation - Apply function, mutate(), filter(), arrange (), summarise(), groupby(), date in R
  • Statistics in R
  • Have fun with real Life Data Sets
Take this course!

What Will I learn?

  • 📺 12 hours on-demand video
  • 📝 66 Articles
  • 💼 12 Supplemental Resources
  • 💓 Full lifetime access
  • 📱 Access on mobile and TV
  • 📋 Certificate of Completion

Requirements

  • ⚓ No prior knowledge is required to understand this course
  • ⚓ R software will be used in the course. Installation and use of R will be taught in the course.
  • ⚓ All software and data used in the course are free

Who is the target audience?

  • 🙇 Anyone who is interested in data science can take this course.
  • 🙇 Aspiring data scientists
  • 🙇 Anyone who wants to switch his career in Data Science/Analytics/Machine Learning should take this course.
  • 🙇 Beginners to programming
  • 🙇 People interested in statistics and data analysis
Take this course!
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