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
316,445 ya inscrito
ofrecido por
Programa especializado: Learn SQL Basics for Data ScienceUniversidad de California, DavisAcerca de este Curso
715,491 vistas recientes
Resultados profesionales del estudiante
28%
comenzó una nueva carrera después de completar estos cursos
26%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
12%
consiguió un aumento de sueldo o ascenso
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 4 en
Nivel principiante
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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
28%
comenzó una nueva carrera después de completar estos cursos
26%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
12%
consiguió un aumento de sueldo o ascenso
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 4 en
Nivel principiante
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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.
Programa - Qué aprenderás en este curso
4 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.
4 horas para completar
11 videos (Total 52 minutos), 2 lecturas, 4 cuestionarios
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
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
4 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.
4 horas para completar
10 videos (Total 53 minutos), 3 lecturas, 3 cuestionarios
Reseñas
Principales reseñas sobre SQL FOR DATA SCIENCE
por NG27 de ago. de 2020
The course is nice but I suppose the PowerPoint presentation that accompanies it could use some effects to show us the clauses one by one, as they are spoke. That would make understanding them easier.
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 MV19 de jul. de 2020
Please Included examples while the instructor is teaching in the video lectures. The instructor is very talented in teaching but due to lack of examples in the video it downgrades the overall course.
por AT17 de nov. de 2020
Well it was a short course, the assignments are a little bit repetitive (mostly in the last). The course reviews every 'practical' aspects of SQL, how to assemble the bricks while writing queries,...
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.
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