Batting Location Charts with Vagrant and MySQL

Course Feature
  • Cost
    Free
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    Self Paced
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    /
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4.7
15,300 Ratings
Vagrant and MySQL can be used together to create batting location charts from large data sets using R. This provides an efficient way to visualize and analyze data.
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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 29th, 2023]

This course provides an overview of how to use Vagrant and MySQL to create batting location charts. Students will learn how to install MySQL on an Ubuntu system and perform basic administration activities. They will also learn how to use the vi program to modify the MySQL configuration file. Additionally, students will learn how to use Vagrant to forward ports and scrape PITCHf/x hit location data. Finally, they will learn how to use R to query MySQL.

[Applications]
After completing this course, students can apply their knowledge to create batting location charts with Vagrant and MySQL. They can use Vagrant to forward ports and scrape PITCHf/x hit location data. Additionally, they can use MySQL to perform basic administration activities and use R to query MySQL. Finally, they can use the vi program to modify the MySQL configuration file.

[Career Paths]
1. Database Administrator: Database Administrators are responsible for the installation, configuration, maintenance, and security of databases. They must ensure that the databases are running efficiently and securely, and that they are backed up regularly. With the increasing demand for data-driven decision making, the demand for Database Administrators is expected to grow significantly in the coming years.

2. Data Scientist: Data Scientists are responsible for analyzing large amounts of data and extracting meaningful insights from it. They use a variety of tools and techniques to uncover patterns and trends in data, and then use those insights to inform decisions. With the increasing demand for data-driven decision making, the demand for Data Scientists is expected to grow significantly in the coming years.

3. DevOps Engineer: DevOps Engineers are responsible for automating the deployment and management of applications and services. They use a variety of tools and techniques to ensure that applications and services are running efficiently and securely. With the increasing demand for automation and cloud-based services, the demand for DevOps Engineers is expected to grow significantly in the coming years.

4. Software Engineer: Software Engineers are responsible for designing, developing, and maintaining software applications. They use a variety of tools and techniques to ensure that applications are running efficiently and securely. With the increasing demand for software applications, the demand for Software Engineers is expected to grow significantly in the coming years.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree path is becoming increasingly popular as technology advances and more businesses rely on computer systems.

2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as database management, network security, and web development. This degree path is becoming increasingly popular as businesses rely more heavily on technology to manage their operations.

3. Bachelor of Science in Data Science: This degree path focuses on the analysis of large datasets and the development of algorithms to extract insights from them. It covers topics such as machine learning, data mining, and predictive analytics. This degree path is becoming increasingly popular as businesses rely more heavily on data-driven decision making.

4. Master of Science in Artificial Intelligence: This degree path focuses on the development of algorithms and systems that can learn from data and make decisions. It covers topics such as natural language processing, computer vision, and robotics. This degree path is becoming increasingly popular as businesses rely more heavily on artificial intelligence to automate processes and make decisions.

Course Syllabus

Creating the Virtual Machine

Installing MySQL

Logging in and out of MySQL

Creating a User

Granting Privileges

Changing the Bind Address

Forwarding the Port

Loading the R Packages

Scraping the Data

Investigating the Tables

Deciding What Information We Want

Making the Query

Modifying the Data Frame

Beginning the Plot

Enhancing the Plot

Getting More Data

Putting It All Together

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Pros & Cons
  • Clear explanations
  • Good examples and problems
  • Connect MySQL to RStudio
  • Large font
  • Well explained
  • Short course
  • No example code
  • Not enough technical explanations
  • Not useful for Python users
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