Udemybeginneren

Phân tích và xử lý dữ liệu với phần mềm R

Learn data analysis with R! This course covers statistical data processing and analysis using the powerful R software. Gain valuable skills for data science.

4.7(62)
810students
8h 46m
Certificate
Da Hoang Huu
Da Hoang HuuKhoa học định lượng, tài chính định lượng, khoa học dữ liệu

Course Content

Phân tích và xử lý dữ liệu với phần mềm R is a beginner-level Udemy course taught by Da Hoang Huu. It runs 8h 46m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 62 reviews, with 810 students enrolled. It is a paid course, last updated March 2023.

Looking for a comprehensive and easy-to-understand R programming course? This is the perfect choice to master R for statistical analysis and data processing. Our course features detailed video lectures guiding you through practical R applications. You'll reinforce your learning with exercises and projects to test your skills.

For just $10, gain the R skills and knowledge to excel in your career and impress potential employers. We encourage active participation to help us continuously improve the course!

Here's a breakdown of what you'll learn:

  • R Fundamentals: Get started with R! We cover installation, setting up your R environment, and essential R software basics.
  • Data Structures in R: Understand fundamental data structures including vectors, matrices, lists, and data frames – crucial for effective data analysis.
  • Data Manipulation: Learn to handle character data and date/time data effectively within R.
  • Data Analysis with dplyr: Master dplyr, a powerful package for efficient data manipulation and data analysis in R.
  • Data Import/Export: Seamlessly import data from Excel into R and export data back to Excel for easy data management.
  • Data Visualization: Create compelling data visualizations using R to communicate insights effectively.
  • Statistical Analysis in R: Perform various statistical analyses using R, including descriptive statistics.
  • R Programming Basics: Learn essential programming concepts in R, such as for loops, while loops, if-then-else statements, and function creation.
  • Predictive Modeling: Build statistical prediction models using R, including linear regression and logistic regression.
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