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 faz parte do Programa de cursos integrados Learn SQL Basics for Data Science
oferecido por
Programa de cursos integrados Learn SQL Basics for Data ScienceUniversidade da Califórnia, DavisInformações sobre o curso
1,273,312 visualizações recentes
Resultados de carreira do aprendiz
39%
comecei uma nova carreira após concluir estes cursos
34%
consegui um benefício significativo de carreira com este curso
10%
recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 14 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
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 você terá
Data ScienceData AnalysisSqliteSQL
Resultados de carreira do aprendiz
39%
comecei uma nova carreira após concluir estes cursos
34%
consegui um benefício significativo de carreira com este curso
10%
recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 14 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade da Califórnia, 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.
Programa - O que você aprenderá com este curso
3 horas para concluir
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 concluir
11 vídeos (Total 52 mín.), 2 leituras, 4 testes
11 videos
Module Introduction1min
What is SQL Anyway?7min
Data Models, Part 1: Thinking About Your Data5min
Data Models, Part 2: The Evolution of Data Models3min
Data Models, Part 3: Relational vs. Transactional Models5min
Retrieving Data with a SELECT Statement4min
Creating Tables7min
Creating Temporary Tables4min
Adding Comments to SQL5min
Summary1min
2 leituras
SQL Overview15min
Data Modeling and ER Diagrams35min
4 exercícios práticos
Let's Practice!10min
Practice Simple Select Queries20min
Module 1 Quiz30min
Module 1 Coding Questions10min
3 horas para concluir
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 concluir
9 vídeos (Total 49 mín.), 1 leitura, 3 testes
9 videos
Basics of Filtering with SQL8min
Advanced Filtering: IN, OR, and NOT7min
Using Wildcards in SQL6min
Sorting with ORDER BY4min
Math Operations4min
Aggregate Functions6min
Grouping Data with SQL5min
Putting it All Together3min
1 leituras
SQL for Various Data Science Languages25min
3 exercícios práticos
Module 2 Practice Quiz22min
Module 2 Quiz30min
Module 2 Coding Assignment45min
3 horas para concluir
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 concluir
10 vídeos (Total 56 mín.), 2 leituras, 3 testes
10 videos
Using Subqueries6min
Subquery Best Practices and Considerations5min
Joining Tables: An Introduction5min
Cartesian (Cross) Joins4min
Inner Joins8min
Aliases and Self Joins6min
Advanced Joins: Left, Right, and Full Outer Joins7min
Unions5min
Summary5min
2 leituras
SQL and Python10min
Union and Union All10min
3 exercícios práticos
Practice Quiz - Writing Queries10min
Module 3 Quiz30min
Module 3 Coding Assignment45min
5 horas para concluir
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 concluir
10 vídeos (Total 53 mín.), 3 leituras, 3 testes
10 videos
Working with Text Strings7min
Working with Date and Time Strings5min
Date and Time Strings Examples5min
Case Statements7min
Views6min
Data Governance and Profiling5min
Using SQL for Data Science, Part 15min
Using SQL for Data Science, Part 26min
Course Summary2min
3 leituras
Additional SQL Resources to Explore15min
Welcome to Peer Review Assignments!10min
Yelp Dataset SQL Lookup5min
2 exercícios práticos
Module 4 Quiz30min
Module 4 Coding Questions35min
Avaliações
Principais avaliações do SQL FOR DATA SCIENCE
por JP5 de Abr de 2020
This course has really helped with optimizing queries that I work with everyday, enhancing my understanding of RDBMS, joins, analyzing and structuring exactly what you need and yielding those results.
por LO11 de Set de 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 LG9 de Abr de 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 BG10 de Nov de 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.
Sobre Programa de cursos integrados 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Se você se inscrever, terá 7 dias para testar sem custo e, durante este período, pode cancelar sem multa. Depois disso, não reembolsamos, mas você pode cancelar sua inscrição a qualquer momento. Veja nossa política para o reembolso total.
Existe algum auxílio financeiro disponível?
Sim, a Coursera oferece auxílio financeiro ao aluno que não possa pagar a taxa. Faça a solicitação clicando no link Auxílio Financeiro, abaixo do botão "Inscreva-se" à esquerda. Preencha uma solicitação e será notificado caso seja aprovado. Você terá que completar esta etapa para cada curso na Especialização, incluindo o Trabalho de Conclusão de Curso. Saiba mais .
Ganharei créditos universitários por concluir o curso?
Este curso não oferece créditos universitários, mas algumas universidades podem aceitar certificados de cursos que podem ser convertidos em créditos. Entre em contato com sua instituição para saber mais. Com os cursos on-line e os certificados Mastertrack™ do Coursera, é possível ganhar créditos universitários.
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
