About this Course
4.7
2,971개의 평가
303개의 리뷰

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 10시간 필요

권장: 4 weeks of study, 2-4 hours/week....

영어

자막: 영어, 한국어, 아랍어

배울 내용

  • Check

    Create and access a database instance on cloud

  • Check

    Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE

  • Check

    Filter, sort, group results, use built-in functions, access multiple tables

  • Check

    Access databases from Jupyter using Python and work with real world datasets

귀하가 습득할 기술

Cloud DatabasesPython ProgrammingIpythonRelational Database Management System (RDBMS)SQL

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 10시간 필요

권장: 4 weeks of study, 2-4 hours/week....

영어

자막: 영어, 한국어, 아랍어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 3시간 필요

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 videos (Total 36 min), 7 readings, 5 quizzes
11개의 동영상
Introduction to Databases4m
How to create a Database instance on Cloud?4m
CREATE Table Statement2m
SELECT Statement3m
INSERT Statement2m
UPDATE and DELETE Statements3m
Information and Data Models4m
Types of Relationships3m
Mapping Entities to Tables1m
Relational Model Concepts2m
7개의 읽기 자료
Hands-on LAB: Provision a Cloud hosted Database instance30m
Examples to CREATE and DROP tables5m
SELECT statement examples5m
Count, Distinct, Limit5m
Hands-on LAB: Composing and Running basic SQL queries45m
About this Optional lesson2m
Additional Reading10m
4개 연습문제
Databases15m
Basic SQL15m
Practice Quiz: Review of Relational Database Concepts10m
Optional Not Graded Quiz on Relational Concepts15m
2
완료하는 데 4시간 필요

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 videos (Total 18 min), 8 readings, 4 quizzes
5개의 동영상
Sorting Result Sets2m
Grouping Result Sets3m
Relational Model Constraints2m
Relational Model Constraints - Advanced4m
8개의 읽기 자료
Hands-on LAB: String Patterns, Sorting & Grouping
Built-in Functions, Dates, Timestamps10m
Hands-on Lab: Built-in functions20m
Sub-Queries and Nested Selects10m
Working with Multiple Tables10m
Hands-on Lab: Sub-queries, Multiple Tables30m
About this Optional lesson2m
Additional Information on Keys and Constraints5m
4개 연습문제
String Patterns, Ranges, Sorting and Grouping15m
Functions, Sub-Queries, Multiple Tables15m
Practice Quiz: Review of Database Constraints10m
Optional Not Graded Quiz on Constraints8m
3
완료하는 데 4시간 필요

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 videos (Total 45 min), 3 readings, 6 quizzes
10개의 동영상
Writing code using DB-API4m
Connecting to a database using ibm_db API2m
Creating tables, loading data and querying data3m
Analyzing data with Python9m
Join Overview3m
Inner Join3m
Left Outer Join5m
Right Outer Join4m
Full Outer Join2m
3개의 읽기 자료
Lab 0: Create Database Credentials10m
About this Optional Section2m
Hands-on LAB: JOINs45m
2개 연습문제
Database access from Python15m
JOIN operations15m
4
완료하는 데 4시간 필요

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 readings, 3 quizzes
2개의 읽기 자료
Working with real-world data sets10m
IBM Digital Badge2m
4.7
303개의 리뷰Chevron Right

42%

이 강좌를 수료한 후 새로운 경력 시작하기

34%

이 강좌를 통해 확실한 경력상 이점 얻기

최상위 리뷰

대학: TPOct 25th 2018

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.

대학: JMFeb 28th 2019

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.

강사

Avatar

Rav Ahuja

Data Science Program Manager
IBM

IBM 정보

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....

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 수료 과정의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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