IBM

SQL for Data Science with R

This course is part of multiple programs.

Rav Ahuja

Instructor: Rav Ahuja

Sponsored by IEM UEM Group

21,910 already enrolled

Gain insight into a topic and learn the fundamentals.
4.3

(160 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 27 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.3

(160 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 27 hours
Learn at your own pace
96%
Most learners liked this course

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 assignments

Taught in English

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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 videos2 readings2 assignments3 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 videos3 readings2 assignments3 app items2 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 videos4 readings4 assignments4 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 videos3 readings4 assignments5 app items5 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 videos2 readings2 assignments2 app items2 plugins

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 assignment1 peer review4 app items1 plugin

Instructor

Instructor ratings
4.3 (60 ratings)
Rav Ahuja
IBM
53 Courses3,144,888 learners

Offered by

IBM

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4.3

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Recommended if you're interested in Data Science

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