IBM

SQL for Data Science with R

This course is part of multiple programs.

Taught in English

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Rav Ahuja

Instructor: Rav Ahuja

17,474 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.3

(122 reviews)

|

95%

Beginner level

Recommended experience

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

What you'll learn

  • Create and access a database instance on the cloud

  • Compose and execute basic SQL statements - SELECT, INSERT, UPDATE, DELETE, CREATE, DROP

  • Construct SQL statements to filter, sort, group results, use built-in functions, compose nested queries, access multiple tables

  • Analyze data from Jupyter using R and SQL by combining SQL and R skills to query real-world datasets

Details to know

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Assessments

15 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.3

(122 reviews)

|

95%

Beginner level

Recommended experience

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

See how employees at top companies are mastering in-demand skills

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There are 6 modules in this course

Structured Query Language, or SQL, provides a standard language for selecting and manipulating data in a relational database. Understanding SQL is a foundational skill that you must have when applying data science principles in R because SQL is the key to helping you unlock insights about the information stored deep inside relational databases. In this module, you will learn some basic SQL statements and practice them hands-on on a live database.

What's included

5 videos1 reading2 quizzes3 app items2 plugins

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.

What's included

6 videos1 reading2 quizzes3 app items5 plugins

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.

What's included

7 videos2 readings4 quizzes4 app items5 plugins

In this module, you will learn the benefits of using R to connect to relational databases and how to persist R database objects in files. You’ll also learn some of the similarities between R data frames and relational databases, including how data types compare and when you must convert from one type to another to improve the effectiveness of your data analysis. Finally, you’ll learn different methods for connecting to a database from R.

What's included

10 videos2 readings4 quizzes5 app items3 plugins

In this module, you will learn the full process of accessing and querying databases using R. You’ll learn how to create the logical and physical model of the database and then implement the model by creating the physical database objects and loading them with data. Finally, you’ll examine an example of accessing and querying the database.

What's included

6 videos1 reading2 quizzes2 app items1 plugin

In this assignment, you will be working with multiple real-world datasets for the Canadian Crop Data and Exchange Rates. 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

1 reading1 quiz1 peer review4 app items1 plugin

Instructor

Instructor ratings
4.3 (48 ratings)
Rav Ahuja
IBM
52 Courses2,390,700 learners

Offered by

IBM

Recommended if you're interested in Data Analysis

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4.3

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