A simple & concise SQL course (applicable to any SQL), perfect for data analysis, data science, business intelligence.
What you will learn
Understanding the data science workflow
Preparing data for machine learning algorithms
Using SQL to filter, group, and transform data for machine learning models
Working with data types for machine learning models
Creating feature engineering with SQL
Querying and analyzing data using SQL for data science projects
Why take this course?
The main problem with online and self-guided learning, especially when it comes to programming, is that it can be hard to know where to start. You might feel unsure about how to begin your learning journey. And, depending on the situation, relying on others—like IT—to get data or create datasets for you can leave you stuck and waiting.
SQL is a great starting point for anyone working with data because it’s a simple language used to interact with relational databases. SQL is so widely used that many big data tools use a version of it.
The issue with many online SQL courses is that they only teach you the basics of SQL itself. While this is helpful, it doesn’t take you all the way on your journey to mastering data science, similar to how depending on IT leaves you with incomplete solutions.
Mass Street University’s DSCI100: SQL Crash Course for Data Science is different. It doesn’t just teach you the basics of SQL; it goes beyond that. In this course, you’ll also learn how to use Python and Apache Spark with SQL through hands-on labs. This will help you see how SQL fits into a real data science workflow.
By the end of the course, you’ll be able to pull data from relational databases to perform advanced analyses on your own, without needing IT’s help. You’ll also understand how SQL works alongside other common data science tools.
This course offers the knowledge and skills you need to be independent and successful in data science. Enroll today to start your self-sufficient path to data science success.