Databases and SQL for Data Science with R

Course Description

Welcome to the exciting world of SQL and databases! This comprehensive course, "Databases and SQL for Data Science with R," is designed to equip you with essential skills in database management and data extraction using SQL. As a majority of the world's data resides in databases, mastering SQL is crucial for aspiring data scientists. This course offers a perfect blend of theoretical knowledge and practical application, making it an ideal starting point for anyone looking to dive into the realm of data science.

What Students Will Learn

• Fundamentals of relational databases and SQL
• Creating and managing database instances in the cloud
• Writing and executing SQL queries, from basic to advanced
• Utilizing R programming language for data analysis in conjunction with SQL
• Accessing and manipulating real-world datasets using Jupyter notebooks
• Applying SQL and R in a data science environment

Pre-requisites

The beauty of this course is that it requires no prior knowledge of databases, SQL, R, or programming. It's designed for beginners and provides a solid foundation for those looking to enter the field of data science.

Course Content

• Introduction to relational databases and their importance in data science
• SQL basics: CREATE, DROP, SELECT, INSERT, UPDATE, and DELETE statements
• Advanced SQL techniques: filtering, sorting, grouping results
• Using built-in SQL functions and composing nested queries
• Accessing multiple tables and understanding table relationships
• Creating and managing database instances in the cloud
• Integrating SQL with R programming language
• Utilizing Jupyter notebooks for data analysis
• Hands-on practice with real-world datasets
• Applying SQL and R in practical data science scenarios

Who This Course Is For

• Aspiring data scientists and analysts
• Business professionals looking to enhance their data skills
• Students interested in pursuing a career in data-driven fields
• Anyone curious about databases and how to extract meaningful information from them

Real-World Applications

• Efficiently manage and query large datasets in various industries
• Perform data analysis and derive insights for business decision-making
• Contribute to data science projects in diverse fields such as finance, healthcare, and marketing
• Enhance career prospects in the rapidly growing field of data science
• Develop a strong foundation for further learning in advanced data science techniques

Course Syllabus

1. Introduction to Databases and SQL
2. Setting up a Cloud Database Instance
3. Basic SQL Queries and Operations
4. Advanced SQL Techniques
5. Working with Multiple Tables
6. Introduction to R Programming for Data Science
7. Integrating SQL and R in Jupyter Notebooks
8. Practical Applications and Real-world Datasets
9. Final Project: Applying SQL and R to Solve a Data Science Problem

Conclusion

This course offers a unique opportunity to gain hands-on experience with real databases, data science tools, and datasets. By the end of the course, you'll have the confidence and skills to work with databases, write efficient SQL queries, and begin your journey in the exciting field of data science. Don't miss this chance to add these in-demand skills to your repertoire!