Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.
Este curso faz parte do Programa de cursos integrados Learn SQL Basics for Data Science
18.738 já se inscreveram
oferecido por
Programa de cursos integrados Learn SQL Basics for Data ScienceUniversidade da Califórnia, DavisInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Aprox. 35 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
O que você vai aprender
Develop a project proposal and select your data
Perform descriptive statistics as part of your exploratory analysis
Develop metrics and perform advanced techniques in SQL
Present your findings and make recommendations
Habilidades que você terá
- Presentation Skills
- Data Analysis
- SQL
- creating metrics
- Exploratory Data Analysis
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Aprox. 35 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
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
9 horas para concluir
Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation
In this first milestone, you will select your client and import your dataset. You will begin to explore your data to understand it and make assumptions about your data. You will draft a project proposal to act as a guide as you explore your data and prove or disprove your hypotheses.
9 horas para concluir
12 vídeos (Total 48 mín.), 4 leituras, 1 teste
8 horas para concluir
Milestone 2: Descriptive Stats & Understanding Your Data
In this milestone, you will start to execute your project proposal. You will start looking at your data and perform initial statistic models to explore your data and determine what you have available to you.
8 horas para concluir
7 vídeos (Total 39 mín.), 1 leitura, 1 teste
8 horas para concluir
Milestone 3: Beyond Descriptive Stats (Dive Deeper/Go Broader)
In this milestone, you will go beyond the descriptive statistics you completed in the last milestone. This milestone is really about diving deeper to analyze your data, beyond descriptive stats. Maybe you need to analyze qualitative data or textual data to get a full picture.
8 horas para concluir
5 vídeos (Total 28 mín.)
10 horas para concluir
Milestone 4: Presenting Your Findings (Storytelling)
In this milestone, you will present your findings. You will identify your audience and create a presentation tailored to them. You will be able to tell the story of analyses and make recommendations.
10 horas para concluir
12 vídeos (Total 61 mín.), 7 leituras, 1 teste
Avaliações
Principais avaliações do SQL FOR DATA SCIENCE CAPSTONE PROJECT
por TS11 de Out de 2021
This was a great course. It taught me more about SQL in one month than a semester at a top 20 university.
por MM24 de Nov de 2021
This guided project was a nice end to the SQL Basics specialization.
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, Delta Lake 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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