Master Data Manipulation with R for Real-World Applications

In a world where data is the new oil, knowing how to manipulate it efficiently is one of the most valuable skills you can possess. This comprehensive and practical course on data manipulation with R takes you from the fundamentals to advanced techniques applied to real-life cases. You will learn how to transform, filter, sort, group, and combine datasets using modern tools like Tidyverse (dplyr, tidyr, stringr, lubridate) and the powerful data.table library. We will compare these approaches with Base R, helping you understand the benefits and when to use them based on your needs.

You will discover how to import data from various sources (CSV, JSON, SQL databases), create new variables, remove outliers, work with text and dates, and efficiently prepare data for modeling. Each lesson is designed for practical application, featuring clear examples, guided exercises, and real-world case studies. Furthermore, we will integrate knowledge through practical projects such as financial data analysis and social media data integration, culminating in the construction of a complete cleaning and transformation pipeline for a Machine Learning model.

This course is ideal for anyone seeking a practical, structured, and up-to-date approach to becoming an expert in data wrangling with R. Whether you are a beginner or have prior programming experience, you will find valuable insights that will enhance your data manipulation skills and prepare you for real-world applications.

What you will learn:

• Transform and manipulate datasets effectively using R.
• Utilize Tidyverse and data.table libraries for data analysis.
• Import and prepare data from various sources for modeling.

Course Content:

• Sections: 8
• Lectures: 40
• Duration: 10 hours

Requirements:

• No prior knowledge of R or statistics is required.
• Basic programming knowledge or interest in data analysis is ideal.
• R and RStudio must be installed (instructions provided in the course).
• Willingness to learn and practice with real datasets.

Who is it for?

• Students, professionals, and self-learners interested in data science or statistical analysis.
• Individuals working with large volumes of data and wishing to automate repetitive tasks.
• Aspiring data scientists wanting to master R for data manipulation.
• Researchers, analysts, and developers needing to prepare data for Machine Learning or visualization projects.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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