SQL and R for Data Science: Query and Analyze Data

Most of the world's valuable data lives in relational databases, making database querying an essential skill for any aspiring data professional. This course teaches you how to bridge the gap between database management and data analysis by combining SQL with R. You will start with the fundamental concepts of relational databases before moving on to writing efficient queries and processing that data directly within R. By the end of this course, you will be able to connect to databases, extract specific datasets, and prepare them for analysis using modern R workflows. What you'll learn: * Understand foundational relational database concepts and table structures * Query database tables using SQL commands, filters, joins, and aggregations * Connect R to relational databases securely using modern DBI and odbc interfaces * Leverage dbplyr to translate tidyverse code directly into database queries * Clean and transform retrieved database data within the R environment * Apply secure database querying practices, including parameterized queries This text-based course begins with essential database definitions and SQL syntax before guiding you through integration techniques with R. You will work through practical written explanations and code examples designed to build your skills step-by-step. This course is designed for beginners who want to learn database querying and data analysis, with no prior SQL or R experience required. Start reading today to master the intersection of SQL and R for data science.