Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.
The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.
The emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.
No prior knowledge of databases, SQL, Python, or programming is required.
Anyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.
LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
Databases and SQL for Data Science
oferecido por
IBM
Informações sobre o curso
4.7
2,499 classificações
O que você vai aprender
Create and access a database instance on cloud
Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE
Filter, sort, group results, use built-in functions, access multiple tables
Access databases from Jupyter using Python and work with real world datasets
Habilidades que você terá
Cloud DatabasesPython ProgrammingIpythonRelational Database Management System (RDBMS)SQL
Programa - O que você aprenderá com este curso
Semana
13 horas para concluir
Week 1 - Introduction to Databases and Basic SQL
In Week 1 you will be introduced to databases. You will create a database instance on the cloud. You will learn some of the basic SQL statements. You will also write and practice basic SQL hands-on on a live database.
11 vídeos (total de (Total 36 mín.) min), 7 leituras, 5 testes
11 videos
Introduction to Databases4min
How to create a Database instance on Cloud?4min
CREATE Table Statement2min
SELECT Statement3min
INSERT Statement2min
UPDATE and DELETE Statements3min
Information and Data Models4min
Types of Relationships3min
Mapping Entities to Tables1min
Relational Model Concepts2min
7 leituras
Hands-on LAB: Provision a Cloud hosted Database instance30min
Examples to CREATE and DROP tables5min
SELECT statement examples5min
Count, Distinct, Limit5min
Hands-on LAB: Composing and Running basic SQL queries45min
About this Optional lesson2min
Additional Reading10min
4 exercícios práticos
Databases15min
Basic SQL15min
Practice Quiz: Review of Relational Database Concepts10min
Optional Not Graded Quiz on Relational Concepts15min
Semana
24 horas para concluir
Week 2 - Advanced SQL
By the end of this module you will: (1) earn how to use string patterns and ranges to search data, how to sort and group data in result sets, as well as (2) learn how to work with multiple tables in a relational database using join operations.
5 vídeos (total de (Total 18 mín.) min), 8 leituras, 4 testes
5 videos
Sorting Result Sets2min
Grouping Result Sets3min
Relational Model Constraints2min
Relational Model Constraints - Advanced4min
8 leituras
Hands-on LAB: String Patterns, Sorting & Groupings
Built-in Functions, Dates, Timestamps10min
Hands-on Lab: Built-in functions20min
Sub-Queries and Nested Selects10min
Working with Multiple Tables10min
Hands-on Lab: Sub-queries, Multiple Tables30min
About this Optional lesson2min
Additional Information on Keys and Constraints5min
4 exercícios práticos
String Patterns, Ranges, Sorting and Grouping15min
Functions, Sub-Queries, Multiple Tables15min
Practice Quiz: Review of Database Constraints10min
Optional Not Graded Quiz on Constraints8min
Semana
34 horas para concluir
Week 3 - Accessing Databases using Python
After completing the lessons in this week, you will learn how to explain the basic concepts related to using Python to connect to databases and then create tables, load data, query data using SQL and analyze data using Python
10 vídeos (total de (Total 45 mín.) min), 3 leituras, 6 testes
10 videos
Writing code using DB-API4min
Connecting to a database using ibm_db API2min
Creating tables, loading data and querying data3min
Analyzing data with Python9min
Join Overview3min
Inner Join3min
Left Outer Join5min
Right Outer Join4min
Full Outer Join2min
3 leituras
Lab 0: Create Database Credentials10min
About this Optional Section2min
Hands-on LAB: JOINs45min
2 exercícios práticos
Database access from Python15min
JOIN operations15min
Semana
44 horas para concluir
Week 4: Course Assignment
As a hands-on Data Science assignment, you will be working with multiple real world datasets for the city of Chicago. You will be asked questions that will help you understand the data just like a data scientist would. You will be assessed both on the correctness of your SQL queries and results.
2 leituras, 3 testes
2 leituras
Working with real-world data sets10min
IBM Digital Badge2min
39%
comecei uma nova carreira após concluir estes cursos
32%
consegui um benefício significativo de carreira com este curso
Melhores avaliações
Practice lab assignments were excellent in reinforcing my learning, they were just the right kind of challenging. This course has been the best one in the Data Science Professional series by far.
Clear, thorough, well-designed. Labs give useful practice, assignments and quizzes test the actual instructional content. This course is by far the best in the IBM Data Science specialization.
Instrutores
Rav Ahuja
Data Science Program ManagerIBM
Sobre IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Perguntas Frequentes – FAQ
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