First steps in data analysis with R

🚀 First Steps in Data Analysis with R: From Zero to Hero with Marco Plebani, PhD

🧐 Course Headline: Master the art of data analysis by turning statistical concepts into practical real-world applications using R – the leading open-source platform for statistical computing and graphics. Whether you're a novice or someone who wants to refine their data analysis skills, this course is your stepping stone to becoming a hero in data analysis!

📚 Course Description:

Are you ready to transform your theoretical understanding of statistics into powerful data analysis skills? If you've ever felt overwhelmed by the prospect of applying statistical knowledge to actual datasets, or if you've been intimidated by complex software, this course is your guide to navigating the world of data with confidence and competence.

🛠️ Why Take This Course?

• Practical Application: Transition from theory to practice by applying statistical concepts in real-world scenarios.
• Hands-On Learning: Develop a reliable data analysis pipeline that serves as a foundation for continuous skill development throughout your career.
• Software Mastery: Learn to harness the full power of R, a leading software environment for data science.
• Quality Graphs and Visualizations: Create stunning, publication-ready graphs with ggplot2 and other R packages.
• Customizable Scripts: Receive scripts used during the course for immediate application to your own research.

👩‍🏫 Course Structure:

We will embark on this data analysis journey together, starting from scratch and progressing step by step:

🔹 Getting Started with R:

• Learn how to install R and familiarize yourself with the R programming language's basics.

🔹 Data Entry and Visualization:

• Discover methods for entering data effectively in R.
• Master data visualization using plot() and the powerful ggplot2 package.

🔹 Linear Models:

• Fit, interpret, and evaluate general linear models with confidence.
• Understand various study designs including t test, ANOVA, regression, ANCOVA, and multiple regression scenarios.

🔹 Advanced Modeling Techniques:

• Explore fitting polynomial regression within R.
• Dive into user-defined non-linear models.
• Learn about generalised linear models for non-normally distributed data with a focus on count data.

🔹 Data Wrangling and Optimization:

• Get adept at organizing and "wrangling" data efficiently, including merging, subsetting, summarising, and optimal data organization.

Who Is This Course For? This course is tailored for:

• Beginners who are new to R and data analysis.
• Researchers, scientists, and students looking to refine their data handling and analytical skills in a real-world context.
• Anyone interested in learning how to transform raw data into meaningful insights using R.

🌟 Join Us on This Journey! With hands-on examples, interactive exercises, and expert guidance from Marco Plebani, PhD, you'll gain the skills to analyze data with precision and interpret results with clarity. Don't let data overwhelm you—take the first steps towards becoming a hero in data analysis today! 🌟