Explaining the relationship between SQL and dplyr with baseball examples.

What you will learn

download the Lahman baseball database for Access

install dplyr and the Lahman baseball database package in R

select, filter, and order with SQL and dplyr

group and aggregate with SQL and dplyr

perform inner joins with SQL and dplyr

Why take this course?

—## **Course Title:** Dive into Data with Baseball: Mastering SQL and dplyr with Real-World Examples

**Course Headline:** Unlock the power of data manipulation using SQL and dplyr by analyzing America’s favorite pastime!

πŸŽ“ **Course Description:**

Are you ready to embark on a data analysis journey through the world of baseball? In this comprehensive course, **”Baseball Database Queries with SQL and dplyr”**, we delve into the symbiotic relationship between Structured Query Language (SQL) and the powerful R package, dplyr. This course is designed for individuals with little to no prior knowledge of SQL or R, making it perfect for beginners. By the end of this three-week learning experience, you’ll be proficient in querying databases using both SQL and dplyr, enabling you to explore your own datasets with confidence!

### **What You’ll Learn:**

– **Foundational Knowledge:** We’ll start by covering the basics of SQL, including how to write SELECT queries, filter results with WHERE clauses, and perform basic operations like sorting and limiting the number of results.

– **Data Manipulation with dplyr:** Next, we’ll explore the dplyr package within R, learning how to use its syntax to perform data selection, filtering, mutation, and much more in a more programming-oriented way.

– **Advanced Querying Techniques:** As you become comfortable with SQL and dplyr, we’ll dive deeper into more complex queries such as aggregating and grouping data, and mastering the art of joins to combine different datasets.

### **Course Highlights:**

– πŸ† **Real-World Data:** Utilize the Lahman Baseball Databaseβ€”a comprehensive and free dataset containing historical baseball statistics.

– πŸš€ **Step-by-Step Guidance:** From installation to execution, we’ll walk you through every step, ensuring you have the tools and knowledge to work independently.

– 🧠 **Hands-On Learning:** Through practical exercises and examples directly related to baseball, you’ll solidify your understanding of SQL and dplyr in a context that’s both engaging and familiar.


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– πŸ” **Course Resources:** All the software needed (Microsoft Access, R, and dplyr) will be introduced, and resources for installation and further learning will be provided.

### **Who Is This Course For?**

– Aspiring data analysts or baseball enthusiasts who want to combine their passions with data science.

– Beginners in SQL or R looking for a practical, hands-on introduction to database querying and data manipulation.

– Individuals seeking to understand the relationship between SQL and dplyr for more effective data analysis.

### **By the end of this course, you will:**

– Be able to confidently use SQL to retrieve, transform, and analyze data within a database.

– Understand how to leverage dplyr’s powerful functions to perform similar tasks in R.

– Have gained the ability to apply these skills to your own datasets, opening up a world of opportunities for data exploration and analysis.

Embark on this journey to become a data wizard, all while learning about the rich history and statistics of baseball! πŸ§™β€β™‚οΈβšΎοΈ

Enroll now and turn your curiosity into data mastery with “Baseball Database Queries with SQL and dplyr”! 🌟

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