IBM
Databases and SQL for Data Science with Python
IBM

Databases and SQL for Data Science with Python

Rav Ahuja
Hima Vasudevan

Instructors: Rav Ahuja

446,450 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(19,520 reviews)

|

94%

Beginner level

Recommended experience

20 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze data within a database using SQL and Python.

  • Create a relational database and work with multiple tables using DDL commands.

  • Construct basic to intermediate level SQL queries using DML commands.

  • Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

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Assessments

17 assignments

Course

Gain insight into a topic and learn the fundamentals

4.6

(19,520 reviews)

|

94%

Beginner level

Recommended experience

20 hours (approximately)
Flexible schedule
Learn at your own pace

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There are 6 modules in this course

In this module, you will be introduced to databases. You will learn how to use basic SQL statements like SELECT, INSERT, UPDATE and DELETE. You will also get an understanding of how to refine your query results with the WHERE clause as well as using COUNT, LIMIT and DISTINCT.

What's included

6 videos2 readings2 assignments3 app items3 plugins

In this module, you’ll learn more about relational database concepts and their importance. This module helps you to understand the process of creating a table in your database on MySQL using the graphical interface and SQL scripts. Further, you will also learn how to alter the entries or delete the entries for any table in the database, or even delete the table itself.

What's included

5 videos2 readings2 assignments3 app items4 plugins

This module helps you 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.

What's included

7 videos4 readings4 assignments4 app items2 plugins

In this module you will learn the basic concepts of using Python to connect to databases. In a Jupyter Notebook, you will create tables, load data, query data using SQL magic and SQLite python library. You will also learn how to analyze data using Python.

What's included

6 videos2 readings2 assignments7 app items1 plugin

In this module, 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 as you would in the real world. You will be assessed on the correctness of your SQL queries and results.

What's included

2 videos3 readings2 assignments3 app items

This module covers some advanced SQL techniques that will be useful for Data Engineers. In this module, you will learn how to build more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins. If you are following the Data Engineering track, you must complete this module. Completion of this module is not required for those completing the Data Science or Data Analyst tracks.

What's included

6 videos4 readings5 assignments5 app items2 plugins

Instructors

Instructor ratings
4.6 (3,092 ratings)
Rav Ahuja
IBM
52 Courses2,489,972 learners
Hima Vasudevan
IBM
4 Courses479,482 learners

Offered by

IBM

Recommended if you're interested in Data Analysis

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