Baseball Database Queries with SQL and dplyr
Baseball Database Queries with SQL and dplyr, available at Free, has an average rating of 4.7, with 30 lectures, based on 665 reviews, and has 18957 subscribers.
You will learn about 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 This course is ideal for individuals who are This course is for beginners who would like to learn about SQL and/or dplyr. or This course is for beginners interested in baseball analytics. or This course is NOT for those with extensive knowledge of both SQL and dplyr. It is particularly useful for This course is for beginners who would like to learn about SQL and/or dplyr. or This course is for beginners interested in baseball analytics. or This course is NOT for those with extensive knowledge of both SQL and dplyr.
Enroll now: Baseball Database Queries with SQL and dplyr
Summary
Title: Baseball Database Queries with SQL and dplyr
Price: Free
Average Rating: 4.7
Number of Lectures: 30
Number of Published Lectures: 30
Number of Curriculum Items: 30
Number of Published Curriculum Objects: 30
Original Price: Free
Quality Status: approved
Status: Live
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
Who Should Attend
- This course is for beginners who would like to learn about SQL and/or dplyr.
- This course is for beginners interested in baseball analytics.
- This course is NOT for those with extensive knowledge of both SQL and dplyr.
Target Audiences
- This course is for beginners who would like to learn about SQL and/or dplyr.
- This course is for beginners interested in baseball analytics.
- This course is NOT for those with extensive knowledge of both SQL and dplyr.
In this course, we explain the relationship between SQL and the R package dplyr. I will show you how to query a baseball database with SQL in Microsoft Access and then show you how to do exactly the same thing with dplyr in R. We will begin with simple queries, progress to aggregation and grouping, and finish with queries involving joins. By the end of the course, you should be able to use dplyr to explore your own data sets.
At a relaxed pace, it should take about three weeks to complete the course. The course is for beginners in SQL, R, and dplyr. You also do not have to understand very much about baseball. We will be using the Lahman Baseball Database, R, dplyr, and Microsoft Access. I will show you how to install everything.
Course Curriculum
Chapter 1: Getting Set Up
Lecture 1: Introduction
Lecture 2: Access Set-up
Lecture 3: RStudio Set-up
Lecture 4: The Rcpp Package
Chapter 2: Basic Queries
Lecture 1: SELECT (SQL) and select (dplyr)
Lecture 2: ORDER BY (SQL) and arrange (dplyr)
Lecture 3: WHERE (SQL) and filter (dplyr)
Lecture 4: AND and OR
Chapter 3: Grouping and Aggregation
Lecture 1: Grouping and Sum in Access SQL
Lecture 2: Grouping, Summarize, and Sum in dplyr
Lecture 3: Averaging in Access SQL and dplyr
Lecture 4: max and min
Lecture 5: count (SQL) and n (dplyr)
Lecture 6: WHERE vs. HAVING
Lecture 7: Batting Average and Mutate (dplyr)
Lecture 8: Career Batting Average
Chapter 4: Inner Joins
Lecture 1: Inner Joins with Access SQL
Lecture 2: Inner Joins with dplyr
Lecture 3: A Query with an INNER JOIN
Lecture 4: Joining on more than one field with SQL in Access
Lecture 5: Joining on more than one field with dplyr in R
Lecture 6: Joining three tables with SQL in Access
Lecture 7: Joining three tables with dplyr in R
Lecture 8: Grouping and joining with SQL in Access
Lecture 9: Grouping and joining with dplyr in R
Chapter 5: Practice Problems
Lecture 1: Problem #1 with SQL
Lecture 2: Problem #1 with dplyr
Lecture 3: Problem #2 with Access
Lecture 4: Problem #2 with dplyr
Lecture 5: Reading Other Data into R
Instructors
-
Charles Redmond
Professor at Mercyhurst University
Rating Distribution
- 1 stars: 9 votes
- 2 stars: 9 votes
- 3 stars: 41 votes
- 4 stars: 218 votes
- 5 stars: 388 votes
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