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.
Este curso forma parte de Programa Especializado - Learn SQL Basics for Data Science
SQL for Data Science
ofrecido por
Acerca de este Curso
566,323 vistas recientes
Resultados profesionales del estudiante
39%
comenzó una nueva carrera después de completar estos cursos
34%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
10%
consiguió un aumento de sueldo o ascenso
Qué aprenderás
Identify a subset of data needed from a column or set of columns and write a SQL query to limit to those results.
Use SQL commands to filter, sort, and summarize data.
Create an analysis table from multiple queries using the UNION operator.
Manipulate strings, dates, & numeric data using functions to integrate data from different sources into fields with the correct format for analysis.
Habilidades que obtendrás
Data ScienceData AnalysisSqliteSQL
Resultados profesionales del estudiante
39%
comenzó una nueva carrera después de completar estos cursos
34%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
10%
consiguió un aumento de sueldo o ascenso
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 4 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 20 horas para completar
Sugerido: 4 weeks of study, 3-5 hours/week
Inglés (English)
Subtítulos: Inglés (English)
Programa - Qué aprenderás en este curso
3 horas para completar
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.
3 horas para completar
11 videos (Total 52 minutos), 2 lecturas, 4 cuestionarios
11 videos
Module Introduction1m
What is SQL Anyway?7m
Data Models, Part 1: Thinking About Your Data5m
Data Models, Part 2: The Evolution of Data Models3m
Data Models, Part 3: Relational vs. Transactional Models5m
Retrieving Data with a SELECT Statement4m
Creating Tables7m
Creating Temporary Tables4m
Adding Comments to SQL5m
Summary1m
2 lecturas
SQL Overview15m
Data Modeling and ER Diagrams35m
4 ejercicios de práctica
Let's Practice!10m
Practice Simple Select Queries20m
Module 1 Quiz30m
Module 1 Coding Questions10m
3 horas para completar
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.
3 horas para completar
9 videos (Total 49 minutos), 1 lectura, 3 cuestionarios
9 videos
Basics of Filtering with SQL8m
Advanced Filtering: IN, OR, and NOT7m
Using Wildcards in SQL6m
Sorting with ORDER BY4m
Math Operations4m
Aggregate Functions6m
Grouping Data with SQL5m
Putting it All Together3m
1 lectura
SQL for Various Data Science Languages25m
3 ejercicios de práctica
Module 2 Practice Quiz22m
Module 2 Quiz30m
Module 2 Coding Assignment45m
3 horas para completar
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.
3 horas para completar
10 videos (Total 56 minutos), 2 lecturas, 3 cuestionarios
10 videos
Using Subqueries6m
Subquery Best Practices and Considerations5m
Joining Tables: An Introduction5m
Cartesian (Cross) Joins4m
Inner Joins8m
Aliases and Self Joins6m
Advanced Joins: Left, Right, and Full Outer Joins7m
Unions5m
Summary5m
2 lecturas
SQL and Python10m
Union and Union All10m
3 ejercicios de práctica
Practice Quiz - Writing Queries10m
Module 3 Quiz30m
Module 3 Coding Assignment45m
5 horas para completar
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.
5 horas para completar
10 videos (Total 53 minutos), 3 lecturas, 3 cuestionarios
10 videos
Working with Text Strings7m
Working with Date and Time Strings5m
Date and Time Strings Examples5m
Case Statements7m
Views6m
Data Governance and Profiling5m
Using SQL for Data Science, Part 15m
Using SQL for Data Science, Part 26m
Course Summary2m
3 lecturas
Additional SQL Resources to Explore15m
Welcome to Peer Review Assignments!10m
Yelp Dataset SQL Lookup5m
2 ejercicios de práctica
Module 4 Quiz30m
Module 4 Coding Questions35m
Revisiones
Principales revisiones sobre SQL FOR DATA SCIENCE
por LOSep 11, 2018
Did not need to be a peer review assessment, most of the tests lacked creativity and could be automated. The peer review component should just apply to the creative components that can be expanded.
por LGApr 9, 2018
Great course for beginners, very clear and instructor share useful tips. The only reason I don't give it 5 stars is because I think there could be more material related to date and time functions.
por BGNov 10, 2019
Videos are a bit lengthy course could be shorter by 10-20% from a time perspective with the content staying the same. Overall good course for anyone that need to learn or to refresh their skills.
por AMJul 16, 2019
This course is designed with beginners in mind, and it is an excellent introduction to SQL. I intend to further my knowledge of SQL after taking this course. The instructor did a terrific job.
por AMJun 7, 2019
Great introductory to the SQL programming. This will definitely not only add another programming skill but also give me more capabilities programming in SAS. I would recommend this to anyone.
por MSMar 10, 2019
Great course i had a very good learning experience from this course and what i was expecting from this course i got that knowledge and i am very happy to take this course. thank you so much.
por EDJun 25, 2019
Nice that it doesn't expect us to know SQL and programming well. But not nearly enough exercises to understand how to do the queries well. I am feeling lost on the practice tests especially.
por JPJan 14, 2020
This class has already paid for itself. I have used what I learned to write SQL reports to pull reports from our test database. I look forward to taking more classes in SQL Data Science.
ofrecido por
Universidad de 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.
Acerca de Programa especializado Learn SQL Basics for Data Science
This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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