R: Manipulação avançada de dados utilizando o dplyr

🎓 Course Title: R: Advanced Data Manipulation with dplyr

👩‍🏫 Course Instructor: Vinicius Possato Rosse

💡 Course Headline: Master Data Wrangling in R with Pipeline Operators and dplyr! 🚀

Unlock the Power of Advanced Data Operations in R!

Are you ready to elevate your data manipulation skills in R to the next level? Look no further! This comprehensive course is designed for individuals who are eager to delve deeper into the realm of data analysis and manipulation using R's most powerful toolkit. 🛠️

Why Take This Course?

• Master the Operator Pipe: Learn how to perform complex operations with simplicity, thanks to the pipe operator! 🌊
• Expertise in dplyr: Get hands-on experience with the dplyr package, which is famously known as the "grammar of data manipulation" in R. 📚
• Practical Skills: Transition from novice to expert by practicing real-world scenarios and enhancing your problem-solving skills in data analysis. 🎯

Course Outline:

1. Introduction to Advanced Data Manipulation: A brief overview of why data manipulation is crucial for any data analyst or scientist. 📈

2. The Pipe Operator (%>%): Discover the magic of chaining operations and how it can make your code cleaner and more readable. ✨

3. Core Functions in dplyr: Understand the building blocks of data manipulation with key functions like filter(), select(), mutate(), and more. ⚙️

4. Advanced Data Filtering: Learn to filter datasets down to exactly what you need, efficiently and effectively. 🔍

5. Data Transformation Techniques: Master the art of transforming data into useful information with mutate(), summarize(), and other pivotal functions. 🔄

6. Handling Missing Values: Tackle missing data head-on, learning how to address it, fill it, or drop it appropriately. 🚫️🔧

7. Data Reshaping and Pivoting: Get comfortable with reshaping datasets using pivot_wider() and pivot_longer(), making your data presentation ready for any audience. 📊

8. Grouping and Summarizing Data: Learn to group your data, perform computations within each group, and produce powerful insights. 🏋️‍♂️

9. Customizing Functions with dplyr Verbs: Create reusable code blocks to streamline your analysis workflow. 🛠️

By the end of this course, you will have a solid understanding of how to manipulate data like a pro in R using dplyr, and be well on your way to becoming an expert in data analysis. 🎓✨

Don't miss out on the opportunity to refine your skills and push your data manipulation abilities further! Enroll now and start your journey to becoming a data wrangling virtuoso with R and dplyr. 🚀🎉