課程信息
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100% 在線

立即開始,按照自己的計劃學習。

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初級

完成時間大約為12 小時

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

英語(English)

字幕:英語(English), 韓語, 阿拉伯語(Arabic)

您將學到的內容有

  • 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

您將獲得的技能

Cloud DatabasesPython ProgrammingIpythonRelational Database Management System (RDBMS)SQL

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為12 小時

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

英語(English)

字幕:英語(English), 韓語, 阿拉伯語(Arabic)

學習Professional Certificate的學生是

  • Data Analysts
  • Geologists
  • Data Scientists
  • Business Analysts
  • Auditors

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 3 小時

Week 1 - Introduction to Databases and Basic SQL

12 個視頻 (總計 38 分鐘), 6 個閱讀材料, 5 個測驗
12 個視頻
Introduction to Databases4分鐘
How to create a Database instance on Cloud?4分鐘
CREATE Table Statement2分鐘
SELECT Statement3分鐘
COUNT, DISTINCT, LIMIT2分鐘
INSERT Statement2分鐘
UPDATE and DELETE Statements3分鐘
Information and Data Models4分鐘
Types of Relationships3分鐘
Mapping Entities to Tables1分鐘
Relational Model Concepts2分鐘
6 個閱讀材料
Hands-on LAB: Provision a Cloud hosted Database instance30分鐘
Examples to CREATE and DROP tables5分鐘
SELECT statement examples5分鐘
Hands-on LAB: Composing and Running basic SQL queries45分鐘
About this Optional lesson2分鐘
Additional Reading10分鐘
4 個練習
Databases15分鐘
Basic SQL15分鐘
Practice Quiz: Review of Relational Database Concepts10分鐘
Optional Not Graded Quiz on Relational Concepts15分鐘
2
完成時間為 3 小時

Week 2 - Advanced SQL

9 個視頻 (總計 38 分鐘), 5 個閱讀材料, 4 個測驗
9 個視頻
Sorting Result Sets2分鐘
Grouping Result Sets3分鐘
Built-in Database Functions6分鐘
Date and Time Built-in Functions2分鐘
Sub-Queries and Nested Selects4分鐘
Working with Multiple Tables6分鐘
Relational Model Constraints2分鐘
Relational Model Constraints - Advanced4分鐘
5 個閱讀材料
Hands-on LAB: String Patterns, Sorting & Grouping1小時
Hands-on Lab: Built-in functions20分鐘
Hands-on Lab: Sub-queries, Multiple Tables30分鐘
About this Optional lesson2分鐘
Additional Information on Keys and Constraints5分鐘
4 個練習
String Patterns, Ranges, Sorting and Grouping15分鐘
Functions, Sub-Queries, Multiple Tables15分鐘
Practice Quiz: Review of Database Constraints10分鐘
Optional Not Graded Quiz on Constraints8分鐘
3
完成時間為 4 小時

Week 3 - Accessing Databases using Python

10 個視頻 (總計 45 分鐘), 3 個閱讀材料, 6 個測驗
10 個視頻
Writing code using DB-API4分鐘
Connecting to a database using ibm_db API2分鐘
Creating tables, loading data and querying data3分鐘
Analyzing data with Python9分鐘
Join Overview3分鐘
Inner Join3分鐘
Left Outer Join5分鐘
Right Outer Join4分鐘
Full Outer Join2分鐘
3 個閱讀材料
Lab 0: Create Database Credentials10分鐘
About this Optional Section2分鐘
Hands-on LAB: JOINs45分鐘
2 個練習
Database access from Python15分鐘
JOIN operations15分鐘
4
完成時間為 4 小時

Week 4: Course Assignment

2 個視頻 (總計 13 分鐘), 1 個閱讀材料, 4 個測驗
2 個視頻
Getting Table and Column Details4分鐘
1 個閱讀材料
IBM Digital Badge2分鐘
1 個練習
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4.7
561 個審閱Chevron Right

38%

完成這些課程後已開始新的職業生涯

34%

通過此課程獲得實實在在的工作福利

來自Databases and SQL for Data Science的熱門評論

創建者 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.

創建者 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.

講師

Avatar

Rav Ahuja

AI and Data Science Program Director
IBM

關於 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....

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