Acerca de este curso: As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems. This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables. You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. Although we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!
Para quién es esta clase: This course is primary targeted for anyone entering the data science field. It assumes you have no prior knowledge of the SQL programming language.
Creada por: University of California, Davis
Enseñado por: Sadie St. Lawrence, Data Scientist at VSP Global
Founder and Executive Director, Women in Data (WID)
| Nivel | Beginner |
| Compromiso | 4 weeks of study, 3-5 hours/week |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
Getting Started and Selecting & Retrieving Data with SQL
In this module, you will be able to define SQL and discuss how SQL differs from other computer languages. You will be able to compare and contrast the roles of a database administrator and a data scientist, and explain the differences between one-to-one, one-to-many, and many-to-many relationships with databases. You will be able to use the SELECT statement and talk about some basic syntax rules. You will be able to add comments in your code and synthesize its importance.
11 videos, 2 readings, 2 practice quizzes
- Discussion Prompt: Your Goals For This Course...
- Vídeo: Course Introduction
- Vídeo: Module Introduction
- Vídeo: What is SQL Anyway?
- Vídeo: Data Models, Part 1: Thinking About Your Data
- Vídeo: Data Models, Part 2: The Evolution of Data Models
- Vídeo: Data Models, Part 3: Relational vs. Transactional Models
- Vídeo: Retrieving Data with a SELECT Statement
- Vídeo: Creating Tables
- Vídeo: Creating Temporary Tables
- Vídeo: Adding Comments to SQL
- Practice Quiz: Let's Practice!
- Practice Quiz: Practice Simple Select Queries
- Vídeo: Summary
- Reading: SQL Overview
- Reading: Data Modeling and ER Diagrams
- Discussion Prompt: Comparing NoSQL and SQL
Calificado: Module 1 Quiz
Calificado: Module 1 Coding Questions
SEMANA 2
Filtering, Sorting, and Calculating Data with SQL
In this module, you will be able to use several more new clauses and operators including WHERE, BETWEEN, IN, OR, NOT, LIKE, ORDER BY, and GROUP BY. You will be able to use the wildcard function to search for more specific or parts of records, including their advantages and disadvantages, and how best to use them. You will be able to discuss how to use basic math operators, as well as aggregate functions like AVERAGE, COUNT, MAX, MIN, and others to begin analyzing our data.
9 videos, 1 reading
- Vídeo: Module Introduction
- Vídeo: Basics of Filtering with SQL
- Vídeo: Advanced Filtering: IN, OR, and NOT
- Vídeo: Using Wildcards in SQL
- Vídeo: Sorting with ORDER BY
- Vídeo: Math Operations
- Vídeo: Aggregate Functions
- Vídeo: Grouping Data with SQL
- Vídeo: Putting it All Together
- Reading: SQL for Various Data Science Languages
Calificado: Module 2 Quiz
Calificado: Module 2 Coding Assignment
SEMANA 3
Subqueries and Joins in SQL
In this module, you will be able to discuss subqueries, including their advantages and disadvantages, and when to use them. You will be able to recall the concept of a key field and discuss how these help us link data together with JOINs. You will be able to identify and define several types of JOINs, including the Cartesian join, an inner join, left and right joins, full outer joins, and a self join. You will be able to use aliases and pre-qualifiers to make your SQL code cleaner and efficient.
10 videos, 2 readings
- Vídeo: Module Introduction
- Vídeo: Using Subqueries
- Vídeo: Subquery Best Practices and Considerations
- Vídeo: Joining Tables: An Introduction
- Vídeo: Cartesian (Cross) Joins
- Vídeo: Inner Joins
- Vídeo: Aliases and Self Joins
- Vídeo: Advanced Joins: Left, Right, and Full Outer Joins
- Vídeo: Unions
- Vídeo: Summary
- Reading: SQL and Python
- Reading: Union and Union All
- Discussion Prompt: What do you think you'll use?
Calificado: Module 3 Quiz
Calificado: Module 3 Coding Assignment
SEMANA 4
Modifying and Analyzing Data with SQL
In this module, you will be able to discuss how to modify strings by concatenating, trimming, changing the case, and using the substring function. You will be able to discuss the date and time strings specifically. You will be able to use case statements and finish this module by discussing data governance and profiling. You will also be able to apply fundamental principles when using SQL for data science. You'll be able to use tips and tricks to apply SQL in a data science context.
10 videos, 3 readings
- Vídeo: Module Introduction
- Vídeo: Working with Text Strings
- Vídeo: Working with Date and Time Strings
- Vídeo: Date and Time Strings Examples
- Vídeo: Case Statements
- Vídeo: Views
- Vídeo: Data Governance and Profiling
- Vídeo: Using SQL for Data Science, Part 1
- Vídeo: Using SQL for Data Science, Part 2
- Reading: Additional SQL Resources to Explore
- Reading: Welcome to Peer Review Assignments!
- Reading: Yelp Dataset SQL Lookup
- Vídeo: Course Summary
- Discussion Prompt: How do you plan on using SQL in the future?
Calificado: Module 4 Quiz
Calificado: Module 4 Coding Questions
Calificado: Data Scientist Role Play: Profiling and Analyzing the Yelp Dataset
Preguntas Frecuentes
Cómo funciona
Coursework
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Creadores
University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
a very good course, 100% good
great SQL introductory course for beginners!
The instructor is phenomenal. It is deep enough concept-wise but not too in the weeds if you've already taken some SQL.
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very helpful course