
Retrieve data from databases using SQL, a universal language with a standard syntax. Learn to select columns, use aliases, limit results, and perform basic data manipulation.
Learn to join tables in SQL to combine datasets, perform lookups, and enable year over year comparisons by using inner and left joins with aliases.
Filter data effectively by using where, date ranges, between, in, and like conditions to focus analysis, speed up queries, and craft precise results.
Analyze how to compute daily and monthly active employees from start and end dates using a date dimension, handling null end dates, and building trends in SQL Server.
Explore date and time functions to manipulate and aggregate daily data into monthly insights, compute date differences, filter by periods, and identify the most recent data for timely analytics.
Gain the career-building SQL skills you need with this course. Through hands-on learning you’ll load, extract, and manipulate data from relational databases. Study at your own pace and grow your SQL skills.
In this course, we'll go over the most common data science and analytics questions that you'll receive, such as how to find the top products per category, how to find active employee counts by month, how to calculate rolling average of sales and much more.
We'll start by showing you how to retrieve data from a database using SQL Server and AdventureWorks, then show you how to aggregate, join, and filter your results to create context for your analysis.
We'll also get into answering more complex questions with ranking, moving averages, and window functions.
Learn how to retrieve data, join tables, calculate rolling averages and rankings, work with dates and times, use window functions, aggregate and filter data, and much more.
SQL is one of the most requested skills in Data Science. This course is great for anyone looking to build their skills and take it to the next level.
Learn to use Structured Query Language (SQL) to extract and analyze data stored in databases. You’ll first learn to extract data, join tables together, and perform aggregations. Then you’ll learn to do more complex analysis and manipulations using subqueries, and window functions.
By the end of the course, you’ll be able to write efficient SQL queries to successfully handle a variety of data analysis tasks.