Об этом курсе
4.4
Оценки: 823
Рецензии: 245
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!...
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Beginner Level

Начальный уровень

Clock

Предполагаемая нагрузка: 4 weeks of study, 3-5 hours/week

Прибл. 17 ч. на завершение
Comment Dots

English

Субтитры: English

Приобретаемые навыки

Data ScienceData AnalysisSqliteSQL
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Beginner Level

Начальный уровень

Clock

Предполагаемая нагрузка: 4 weeks of study, 3-5 hours/week

Прибл. 17 ч. на завершение
Comment Dots

English

Субтитры: English

Программа курса: что вы изучите

1

Раздел
Clock
3 ч. на завершение

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....
Reading
11 видео (всего 52 мин.), 2 материалов для самостоятельного изучения, 4 тестов
Video11 видео
Module Introduction1мин
What is SQL Anyway?7мин
Data Models, Part 1: Thinking About Your Data5мин
Data Models, Part 2: The Evolution of Data Models3мин
Data Models, Part 3: Relational vs. Transactional Models5мин
Retrieving Data with a SELECT Statement4мин
Creating Tables7мин
Creating Temporary Tables4мин
Adding Comments to SQL5мин
Summary1мин
Reading2 материала для самостоятельного изучения
SQL Overview15мин
Data Modeling and ER Diagrams35мин
Quiz4 практического упражнения
Let's Practice!10мин
Practice Simple Select Queries20мин
Module 1 Quiz30мин
Module 1 Coding Questions10мин

2

Раздел
Clock
3 ч. на завершение

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....
Reading
9 видео (всего 49 мин.), 1 материал для самостоятельного изучения, 3 тестов
Video9 видео
Basics of Filtering with SQL8мин
Advanced Filtering: IN, OR, and NOT7мин
Using Wildcards in SQL6мин
Sorting with ORDER BY4мин
Math Operations4мин
Aggregate Functions6мин
Grouping Data with SQL5мин
Putting it All Together3мин
Reading1 материал для самостоятельного изучения
SQL for Various Data Science Languages25мин
Quiz3 практического упражнения
Module 2 Practice Quiz22мин
Module 2 Quiz30мин
Module 2 Coding Assignment45мин

3

Раздел
Clock
3 ч. на завершение

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....
Reading
10 видео (всего 56 мин.), 2 материалов для самостоятельного изучения, 3 тестов
Video10 видео
Using Subqueries6мин
Subquery Best Practices and Considerations5мин
Joining Tables: An Introduction5мин
Cartesian (Cross) Joins4мин
Inner Joins8мин
Aliases and Self Joins6мин
Advanced Joins: Left, Right, and Full Outer Joins7мин
Unions5мин
Summary5мин
Reading2 материала для самостоятельного изучения
SQL and Python10мин
Union and Union All10мин
Quiz3 практического упражнения
Practice Quiz - Writing Queries10мин
Module 3 Quiz30мин
Module 3 Coding Assignment45мин

4

Раздел
Clock
5 ч. на завершение

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. ...
Reading
10 видео (всего 53 мин.), 3 материалов для самостоятельного изучения, 3 тестов
Video10 видео
Working with Text Strings7мин
Working with Date and Time Strings5мин
Date and Time Strings Examples5мин
Case Statements7мин
Views6мин
Data Governance and Profiling5мин
Using SQL for Data Science, Part 15мин
Using SQL for Data Science, Part 26мин
Course Summary2мин
Reading3 материала для самостоятельного изучения
Additional SQL Resources to Explore15мин
Welcome to Peer Review Assignments!10мин
Yelp Dataset SQL Lookup5мин
Quiz2 практического упражнения
Module 4 Quiz30мин
Module 4 Coding Questions35мин

Преподаватель

Sadie St. Lawrence

Data Scientist at VSP Global
Founder and CEO Women in Data (WID)

О 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....

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Остались вопросы? Посетите Центр поддержки учащихся.