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.
제공자:
IBM 기술 네트워크이 강좌에 대하여
최근 조회 942,417회
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
초급 단계
완료하는 데 약 37시간 필요
영어
자막: 영어, 아랍어, 페르시아어
배울 내용
Analyze data within a database using SQL and Python.
Create a relational database on Cloud and work with tables.
Compare and contrast DDL to DML.
Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.
귀하가 습득할 기술
- Cloud Databases
- Python Programming
- Ipython
- Relational Database Management System (RDBMS)
- SQL
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
초급 단계
완료하는 데 약 37시간 필요
영어
자막: 영어, 아랍어, 페르시아어
제공자:
IBM 기술 네트워크
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
강의 계획표 - 이 강좌에서 배울 내용
완료하는 데 2시간 필요
Getting Started with SQL
In this module, 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.
완료하는 데 2시간 필요
6개 동영상 (총 19분), 2 개의 읽기 자료, 5 개의 테스트
완료하는 데 5시간 필요
Introduction to Relational Databases and Tables
In this module, you will explore the fundamental concepts behind databases, tables, and the relationships between them. You will then create an instance of a database, discover SQL statements that allow you to create and manipulate tables, and then practice them on your own live database.
완료하는 데 5시간 필요
5개 동영상 (총 22분), 1 개의 읽기 자료, 5 개의 테스트
완료하는 데 7시간 필요
Intermediate SQL
In this module, you will learn how to use string patterns and ranges to search data and how to sort and group data in result sets. You will also practice composing nested queries and execute select statements to access data from multiple tables.
완료하는 데 7시간 필요
7개 동영상 (총 32분), 2 개의 읽기 자료, 8 개의 테스트
완료하는 데 6시간 필요
Accessing Databases using Python
In this module you will learn the basic concepts related to using Python to connect to databases. In a Jupyter Notebook, you will create tables, load data, query data using SQL, and analyze data using Python.
완료하는 데 6시간 필요
5개 동영상 (총 27분), 1 개의 읽기 자료, 9 개의 테스트
검토
- 5 stars74.75%
- 4 stars18.69%
- 3 stars4.02%
- 2 stars1.11%
- 1 star1.41%
DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON의 최상위 리뷰
JB 제공2021년 5월 6일
Much important instruction was missing which lead to a delay in submission of the peer assignment. Various errors popped up which had no solution in the discussion forum also. Kindly look into it.
BS 제공2020년 5월 20일
Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!
AA 제공2020년 5월 29일
It's my first course at Coursera and it's quite good. By this course now I'm able to partially working as data analyst soon to be working as full-time analyst.I'm very thankful to the instructor.
DA 제공2020년 10월 7일
Best course with best difficulty and best skills as per the title .
i love this course becuase it has esssential skills needed in terms of developing the right skills for data science .
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 수료 과정을 구독하면 무엇을 이용할 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.
