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Data Science with R Programming

10,000.00

( 0 Review )

Course Level

Intermediate

Total Hour

180h

Video Tutorials

23

Course content

180h

Week 1-2: Introduction to R programming

Introduction to R language and RStudio IDE
Data types and structures, operators, and basic functions
Data input/output, packages, and help documentation
Exploratory data analysis (EDA) with base R functions and ggplot2

Week 3-4: Data manipulation and visualization with tidyverse

Week 5-6: Statistical analysis and machine learning with caret

Week 7-8: Data modeling and visualization with ggplot2

Week 9-10: Time series analysis and forecasting

Week 11-12: Advanced topics and project work

About Course

Data Science is a field that involves using statistical and computational techniques to extract insights and knowledge from data. R is a programming language widely used in Data Science for statistical computing and graphics. In this context, using R for Data Science is a popular choice among data analysts, data scientists, and researchers.

R provides a variety of packages and libraries for statistical analysis, data manipulation, visualization, and machine learning. Some popular libraries for data analysis in R include dplyr, tidyr, and ggplot2. Machine learning libraries such as caret, randomForest, and xgboost can also be used to build predictive models.

What Will You Learn?

  • Introduction to R programming
  • Data manipulation and visualization with tidyverse
  • Statistical analysis and machine learning with caret
  • Data modeling and visualization with ggplot2
  • Hands-on exercises and projects

Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

Instructor

AG
4.44 /5

78 Courses

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Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

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