Curso Máster en RStudio de principiante a experto
Learn R programming with RStudio! Master Tinn-r editor & R Markdown for data analysis & visualization. Get started today!
Course Content
Curso Máster en RStudio de principiante a experto is an all-levels Udemy course taught by Jonathan Alexander Medina Montesdeoca. It runs 10h 24m, is taught in Spanish, and includes a certificate of completion. Learners rate it 4.1 out of 5 from 318 reviews, with 14,877 students enrolled. It is a paid course, last updated February 2024.
Learn to program in RStudio and unlock the power of statistical computing! This comprehensive course takes you from beginner to confident R user.
What you'll discover:
- RStudio Fundamentals: Master the popular R programming environment, widely considered the most powerful statistical software available. Explore the integrated development environment (IDE) and its helpful help system.
- Data Handling: Learn to work with fundamental data structures including vectors, data frames, and subsets of data. Understand how to import and export data from various sources.
- Functions & Data Analysis: Develop skills in creating and utilizing functions for efficient code. Get an introduction to basic statistical data analysis techniques.
- Data Visualization: Create compelling and informative graphics – because visual representation is key to understanding data.
- TensorFlow for Practical Projects: Dive into real-world applications with TensorFlow, a leading package for Machine Learning within RStudio. We'll explore two practical examples.
- Regression Analysis: Understand and apply regression techniques to visualize relationships and correlations between variables. We'll use the classic Boston Housing dataset as a case study.
- R Markdown Introduction: Get a foundational understanding of R Markdown for creating dynamic reports and documents.
Why learn RStudio?
RStudio is an invaluable tool for data modeling and data prediction. It's a cornerstone for anyone working with statistical analysis and Machine Learning.
TensorFlow in R:
We'll leverage the R interface to TensorFlow, allowing you to utilize high-level APIs like Keras and Core TensorFlow for efficient Machine Learning workflows.
Stay Current:
This course is regularly updated to reflect the latest advancements in R and data science.
Join us and embark on a journey to excel in data analysis and programming!
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