SQL for Data Science with R

This course is part of multiple programs. Learn more

Instructor: Rav Ahuja

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
  • Skills you'll gain

  •   Query Languages
  •   Database Management
  •   Data Analysis
  •   Databases
  •   R Programming
  •   Data Modeling
  •   Database Design
  •   Data Manipulation
  •   Data Access
  •   SQL
  •   Relational Databases
  •   Exploratory Data Analysis
  • There are 6 modules in this course

    The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL and R languages. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning. As such, you will work with real databases, real data science tools, and real-world datasets. Through a series of hands-on labs, you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and R. No prior knowledge of databases, SQL, R, or programming is required. Anyone can audit this course at no charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.

    Introduction to Relational Databases and Tables

    Intermediate SQL

    Getting Started with Databases using R

    Working with Database Objects using R

    Course Project

    Explore more from Data Analysis

    ©2025  ementorhub.com. All rights reserved