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!
SQL for Data Science
ofrecido por
University of California, Davis
Acerca de este Curso
4.5
945 calificaciones
Habilidades que obtendrás
Data ScienceData AnalysisSqliteSQL
Programa - Qué aprenderás en este curso
Semana
1Getting 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 (Total 52 minutos), 2 readings, 4 quizzes
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
Semana
2Filtering, 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 (Total 49 minutos), 1 reading, 3 quizzes
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
Semana
3Subqueries 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 (Total 56 minutos), 2 readings, 3 quizzes
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
Semana
4Modifying 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 (Total 53 minutos), 3 readings, 3 quizzes
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
35%
comenzó una nueva carrera después de completar estos cursos
83%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Principales revisiones
por NP•Jan 7th 2018
A nice course to get introduced to writing SQL queries in Data science. Provides hands on exercises that boost confidence. Genuinely appreciate the ease with which SQL topics are covered
por GL•May 3rd 2018
This was an amazing course. I learned so much practical and application skills from the course. The lectures are great, as our the assignments and tests.\n\nThank you for a great time!
Instructor
Sadie St. Lawrence
Data Scientist at VSP GlobalFounder and CEO Women in Data (WID)
Acerca de 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.
Preguntas Frecuentes
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