Learn how to use MySQL for Data Science quickly and effectively with this course! This Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why: You'll learn how to read and write complex queries to a database using one of the most in-demand skills - MySQL Server. These skills also apply to any other major RDBMS database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, etc. Data science is a dynamic and growing career field that demands knowledge and skills based on SQL to be successful. This course is designed to provide a solid foundation in applying SQL skills to analyze data and solve real business problems. Whether you have successfully completed the other courses in the Learn SQL for Data Science and Data Analytics or are taking just this course, this roadmap is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose your own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings. Learning SQL for Data Science is one of the fastest ways to improve your career prospects as it is one of the most in-demand tech skills! In this course, you'll learn quickly and receive challenges and tests along the way to improve your understanding! The course is taught by the lead instructor having 20+ years of professional experience. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL Data Science developer.