Importing Data from Relational Databases in R 3 from Pluralsight

This course shows how R’s capabilities can help you retrieve data from relational databases and make it available to R for adding value with other operations, such as analysis and visualization.

Data is very often stored in relational databases, which are a well-established technology for the last several decades. Your organization might use various relational databases, such as Microsoft SQL Server, Oracle, PostgreSQL, MySQL/MariaDB, or SQLite. In this course, Importing Data from Relational Databases in R, you will learn how R's capabilities can help you retrieve data from relational databases and make it available to R for adding value with other operations, such as analysis and visualization.

First, you will learn about connecting to relational databases. You will discover the possible options for connecting, including the pros and cons of each option. Sometimes things can go wrong, so you will learn some basic connection troubleshooting steps. Then you will explore how to make various SQL queries to a relational database: SELECT statements, filtering data, ordering data, grouping data, inner joins, as well as inserting and deleting values from a table. Additionally, you'll learn how to give parameters to a query and how to fix the security issues around this. Finally, you will determine how to query the database with dplyr, a very popular package for working with data frames that has capabilities of generating SQL queries for you.

Finishing this course will give you the confidence to import precisely the data you need from various relational databases into your R code.

What's inside

Syllabus

Course Overview

Connecting to a Database

Querying with SQL

Querying with dplyr

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores querying with SQL, which is standard in industry

Taught by Dan Tofan, who are recognized for their work in data analysis with R

Develops skills in retrieving data from relational databases, which is a core skill for data analysis

Examines connecting to databases and making queries, which are fundamental concepts in data analysis

Teaches R’s capabilities for working with relational databases, a valuable skill for R users

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Importing Data from Relational Databases in R 3 with these activities:

Review Fundamentals of Relational Database Theory

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Prepare yourself for this online course by brushing up on the fundamental concepts of relational database theory, such as data types, data structures, and SQL.

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Review notes or textbooks on database fundamentals
Complete practice exercises on data modeling and SQL queries

SQL Syntax Review

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Revisit the basics of SQL syntax and data manipulation techniques to strengthen your foundation before delving into advanced concepts.

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Review online resources or textbooks that provide a concise overview of SQL syntax.
Practice writing basic SQL queries to refresh your understanding of data retrieval and manipulation.

Practice Writing SQL Queries

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Sharpen your SQL skills and prepare for the course by working through practice drills that involve writing SQL queries for data retrieval and manipulation.

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Find online SQL練習 platforms or resources
Start practicing writing SQL queries for data retrieval and modification

Seven other activities

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SQL Puzzle Solving

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Engage in solving SQL puzzles to hone your ability to write efficient queries and extract meaningful information from databases.

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Visit online platforms or purchase puzzle books that offer SQL challenges.
Attempt to solve the puzzles using your SQL knowledge.
Check your solutions against the provided answers.
Analyze your mistakes and identify areas for improvement.

SQL Code Review Group

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Participate in a group session where you and your peers review and provide feedback on each other's SQL code, improving the quality and efficiency of your queries.

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Join or create a study group with fellow students.
Bring your own SQL queries for review.
Take turns presenting your queries and receiving feedback from the group.
Discuss best practices for writing efficient and maintainable SQL code.

SQL Query Challenges

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Solve a series of progressively difficult SQL queries to enhance your understanding of SQL syntax and data retrieval techniques.

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Access online SQL query challenges or create your own dataset for practice.
Attempt to solve the queries using the correct SQL syntax and logical operators.
Review your results and compare them to the provided solutions.

Relational Database Connectivity Report

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Create a comprehensive report that documents your journey in establishing connectivity between R and various relational databases, highlighting key challenges and solutions.

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Research and document the different methods of connecting to relational databases from R.
Attempt to connect to at least three different types of relational databases, such as MySQL, PostgreSQL, and SQLite.
Summarize the pros and cons of each method, including performance, ease of use, and security considerations.
Prepare a report that presents your findings and recommendations for database connectivity in R projects.

Advanced SQL Tutorial Series

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Deepen your understanding of SQL by following a series of guided tutorials that cover advanced concepts such as subqueries, joins, and window functions.

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Identify online tutorials or video courses that focus on advanced SQL topics.
Follow the tutorials step-by-step, practicing the concepts in your own environment.
Complete the exercises and quizzes provided in the tutorials to test your understanding.
Seek additional resources or ask for clarification if needed.

Data Visualization Project

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Create interactive data visualizations to explore and present insights from real-world datasets retrieved from relational databases.

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Identify a dataset from a relational database that aligns with your interests.
Retrieve the data using R's database connectivity capabilities.
Clean and explore the data, identifying key patterns and relationships.
Design and create visualizations using ggplot2 or other suitable R libraries.
Share your visualizations and insights with others to demonstrate your understanding of data visualization principles and techniques.

Personal Data Analytics Project

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Initiate a project where you apply your SQL skills to analyze a dataset from a relational database and extract actionable insights.

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Choose a dataset from a relational database that is of personal interest or aligns with your career goals.
Retrieve the data using R and explore it using data visualization techniques.
Identify patterns, trends, and outliers in the data.
Develop insights and recommendations based on your analysis.
Prepare a presentation or report to showcase your findings.

Career center

Learners who complete Importing Data from Relational Databases in R 3 will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts play a critical role in making sense of the vast amounts of data that businesses collect. They use their skills in statistics, programming, and data visualization to extract insights from data and help businesses make informed decisions. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Data Analyst. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators are responsible for the maintenance and performance of databases. They ensure that data is stored securely and efficiently, and that it is available to users when they need it. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Database Administrator. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

See salaries and explore the career path for Database Administrator

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines. They ensure that data is collected, cleaned, and transformed so that it can be used for analysis and visualization. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Data Engineer. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

See salaries and explore the career path for Data Engineer

Business Analyst

Business Analysts use data to help businesses make better decisions. They work with stakeholders to understand their business needs and then use data to develop solutions that meet those needs. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Business Analyst. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians use data to make inferences about the world around us. They develop and apply statistical models to analyze data and draw conclusions. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Statistician. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

See salaries and explore the career path for Statistician

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with users to understand their needs and then develop software that meets those needs. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Software Engineer. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

See salaries and explore the career path for Software Engineer

Data Scientist

Data Scientists use data to solve problems and make predictions. They work with data to develop models that can be used to make decisions. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Data Scientist. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models. They work with data to build models that can be used to make predictions. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Machine Learning Engineer. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative Analysts use mathematics and statistics to analyze data and make financial decisions. They work with data to develop models that can be used to make investment decisions. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Quantitative Analyst. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

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Risk Analyst

Risk Analysts assess and manage risk. They work with data to identify and quantify risks that could impact a business. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Risk Analyst. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

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Actuary

Actuaries use mathematics and statistics to assess and manage risk. They work with data to develop models that can be used to make decisions about insurance policies and other financial products. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Actuary. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

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Financial Analyst

Financial Analysts use data to analyze financial performance and make investment decisions. They work with data to develop models that can be used to make investment decisions. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Financial Analyst. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

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Market Researcher

Market Researchers use data to understand consumer behavior and market trends. They work with data to develop marketing campaigns and other marketing initiatives. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Market Researcher. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

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Operations Research Analyst

Operations Research Analysts use mathematics and statistics to improve the efficiency of business operations. They work with data to develop models that can be used to make decisions about operations management. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Operations Research Analyst. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

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Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends and opportunities. They work with data to develop reports and dashboards that can be used to make business decisions. This course in Importing Data from Relational Databases in R will help you develop the skills you need to be a successful Business Intelligence Analyst. You will learn how to connect to relational databases, query data using SQL, and import data into R for analysis and visualization.

See salaries and explore the career path for Business Intelligence Analyst