Programación básica en R para epidemiología y salud pública
Learn data analysis & visualization in R for public health & epidemiology. Hands-on exercises included!
Course Content
Programación básica en R para epidemiología y salud pública is a beginner-level Udemy course taught by José Antonio Montes. It runs 12h 44m, is taught in Spanish, and includes a certificate of completion. Learners rate it 4.9 out of 5 from 14 reviews, with 58 students enrolled. It is a paid course, last updated October 2024.
Transform your data analysis skills with R programming! This course is designed to take you from a complete beginner to a confident and independent R user. We'll provide a strong foundation to transition from traditional data handling programs to the powerful R statistical software.
You'll learn to leverage the vast online resources available to solve problems and accelerate your career with R. The course features hands-on exercises specifically tailored to epidemiology and public health, allowing you to immediately apply your new skills to your work.
Here's what you'll master:
- R for Mathematical Operations: Learn to perform calculations and manipulate data efficiently using R.
- Function Creation: Develop reusable R functions to streamline your code and analysis.
- Data Loading & Cleaning: Master the techniques for importing data from various sources and cleaning it for accurate analysis.
- Descriptive Statistics & Data Visualization: Gain proficiency in generating insightful data visualizations using R base and popular packages.
- Artificial Intelligence Integration: Discover how to incorporate AI techniques to enhance your R code and solve complex problems.
The course includes:
- Engaging Recorded Classes: Learn at your own pace with comprehensive video lessons.
- Practical Exercises with Video Solutions: Reinforce your learning with hands-on exercises and detailed video walkthroughs of the solutions.
- Downloadable Course Manual: Access all the code used in the course, along with helpful links and resources, for future reference.
- Presentation Slides: Each class is accompanied by a presentation containing all the code used.
By the end of this course, you'll have successfully transitioned from a novice to an autonomous R programmer, ready to confidently tackle data analysis challenges. Dive into the world of R programming and unlock new possibilities in data science and public health!
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