About this Course

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Beginner Level
Approx. 14 hours to complete
English

What you will learn

  • 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

Skills you will gain

Cloud DatabasesPython ProgrammingIpythonRelational Database Management System (RDBMS)SQL

Learner Career Outcomes

38%

started a new career after completing these courses

33%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 14 hours to complete
English

Offered by

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IBM

Syllabus - What you will learn from this course

Content RatingThumbs Up93%(18,477 ratings)Info
Week
1

Week 1

3 hours to complete

Week 1 - Introduction to Databases and Basic SQL

3 hours to complete
12 videos (Total 38 min), 6 readings, 4 quizzes
12 videos
Introduction to Databases4m
How to create a Database instance on Cloud3m
CREATE Table Statement2m
SELECT Statement3m
COUNT, DISTINCT, LIMIT2m
INSERT Statement2m
UPDATE and DELETE Statements3m
Information and Data Models4m
Types of Relationships3m
Mapping Entities to Tables1m
Relational Model Concepts2m
6 readings
Hands-on LAB: Provision a Cloud Hosted Database Instance30m
Examples to CREATE and DROP tables5m
SELECT statement examples5m
Hands-on LAB: Composing and Running basic SQL queries45m
About this Optional lesson2m
Additional Reading10m
4 practice exercises
Databases15m
Basic SQL15m
Practice Quiz: Review of Relational Database Concepts10m
Optional Not Graded Quiz on Relational Concepts15m
Week
2

Week 2

4 hours to complete

Week 2 - Advanced SQL

4 hours to complete
9 videos (Total 38 min), 5 readings, 4 quizzes
9 videos
Sorting Result Sets2m
Grouping Result Sets3m
Built-in Database Functions6m
Date and Time Built-in Functions2m
Sub-Queries and Nested Selects4m
Working with Multiple Tables6m
Relational Model Constraints2m
Relational Model Constraints - Advanced4m
5 readings
Hands-on LAB: String Patterns, Sorting & Grouping1h
Hands-on Lab: Built-in functions20m
Hands-on Lab: Sub-queries, Multiple Tables30m
About this Optional lesson2m
Additional Information on Keys and Constraints5m
4 practice exercises
String Patterns, Ranges, Sorting and Grouping15m
Functions, Sub-Queries, Multiple Tables15m
Practice Quiz: Review of Database Constraints10m
Optional Not Graded Quiz on Constraints30m
Week
3

Week 3

4 hours to complete

Week 3 - Accessing Databases using Python

4 hours to complete
10 videos (Total 45 min), 3 readings, 6 quizzes
10 videos
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
3 readings
Lab 0: Create Database Credentials10m
About this Optional Section2m
Hands-on LAB: JOINs45m
2 practice exercises
Database access from Python15m
JOIN operations15m
Week
4

Week 4

3 hours to complete

Week 4: Course Assignment

3 hours to complete
2 videos (Total 13 min), 2 readings, 4 quizzes
2 videos
Getting Table and Column Details4m
2 readings
LOADing Data3m
IBM Digital Badge2m
1 practice exercise
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