Practical Data Science with R and SQL

Organizations worldwide rely on data to make critical decisions, but raw data is rarely ready for analysis. Learning how to query, clean, and interpret this information using industry-standard tools is the key to unlocking its true value. This text-based course guides you through the fundamentals of data science using R and SQL. You will transition from understanding basic data concepts to writing your own database queries, manipulating complex datasets, and generating clear, data-driven insights. What you'll learn: - Understand foundational data science concepts, terminology, and the R programming environment. - Write SQL queries to extract, filter, and join data from relational databases. - Apply modern tidyverse packages in R to clean, transform, and reshape messy datasets. - Create clear and impactful data visualizations to communicate trends and patterns. - Integrate R and SQL workflows to analyze real-world datasets efficiently. The course begins with core definitions and database basics before moving into hands-on data manipulation and visualization techniques. You will progress through written explanations, structured code examples, and practical exercises designed to build your analytical confidence. This course is designed for absolute beginners, aspiring data analysts, and professionals looking to add R and SQL to their skill set, with no prior programming experience required. Start your journey into data science and learn how to transform raw numbers into meaningful stories.