Time Series Analysis in SQL Server Course

Name: Time Series Analysis in SQL Server
Rating: 4.8028571428571425 (350 reviews)

Time Series Analysis in SQL Server

IntermediateSkill Level

4.8+

350 reviews

Updated 11/2025

Explore ways to work with date and time data in SQL Server for time series analysis

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Course Description

SQL Server has a robust set of tools to prepare, aggregate, and query time series data. This course will show you how to build and work with dates, parse dates from strings (and deal with invalid strings), and format dates for reporting. From there, you will see how SQL Server's built-in aggregation operators and window functions can solve important business problems like calculating running totals, finding moving averages, and displaying month-over-month differences using realistic sample data sets. You will also see how taking a different perspective on your data can solve difficult problems.

Prerequisites

Intermediate SQL Server

Working with Dates and Times

This chapter covers date and time functionality in SQL Server, including building dates from component parts, formatting dates for reporting, and working with calendar tables.

Building dates

50 XP

Break out a date into year, month, and day

100 XP

Break a date and time into component parts

100 XP

Date math and leap years

100 XP

Rounding dates

100 XP

Formatting dates for reporting

50 XP

Formatting dates with CAST() and CONVERT()

100 XP

Formatting dates with FORMAT()

100 XP

Working with calendar tables

50 XP

The benefits of calendar tables

50 XP

Try out a calendar table

100 XP

Joining to a calendar table

100 XP

Start Chapter

Converting to Dates and Times

Here, we'll be converting strings and other inputs to date and time data types.

Building dates from parts

50 XP

Build dates from parts

100 XP

Build dates and times from parts

100 XP

Build dates and times with offsets from parts

100 XP

Translating date strings

50 XP

Cast strings to dates

100 XP

Convert strings to dates

100 XP

Parse strings to dates

100 XP

Working with offsets

50 XP

Changing a date's offset

100 XP

Using the time zone DMV to look up times

100 XP

Converting to a date offset

100 XP

Handling invalid dates

50 XP

Try out type-safe date functions

100 XP

Convert imported data to dates with time zones

100 XP

Test type-safe conversion function performance

100 XP

Start Chapter

Aggregating Time Series Data

In this chapter, we will learn techniques to aggregate data over time. We will briefly review aggregation functions and statistical aggregation functions. We will cover upsampling and downsampling of data. Finally, we will look at the grouping operators.

Basic aggregate functions

50 XP

Summarize data over a time frame

100 XP

Calculating distinct counts

100 XP

Calculating filtered aggregates

100 XP

Statistical aggregate functions

50 XP

Working with statistical aggregate functions

100 XP

Calculating median in SQL Server

100 XP

Downsampling and upsampling data

50 XP

Downsample to a daily grain

100 XP

Downsample to a weekly grain

100 XP

Downsample using a calendar table

100 XP

Grouping by ROLLUP, CUBE, and GROUPING SETS

50 XP

Generate a summary with ROLLUP

100 XP

View all aggregations with CUBE

100 XP

Generate custom groupings with GROUPING SETS

100 XP

Combine multiple aggregations in one query

100 XP

Start Chapter

Answering Time Series Questions with Window Functions

In this chapter, we will learn how to use window functions to perform calculations over time, including calculating running totals and moving averages, calculating intervals, and finding the maximum levels of overlap.

Using aggregation functions over windows

50 XP

Contrasting ROW_NUMBER(), RANK(), and DENSE_RANK()

100 XP

Aggregate window functions

100 XP

Calculating running totals and moving averages

50 XP

Running totals with SUM()

100 XP

Investigating window frames

100 XP

Calculating moving averages

100 XP

Working with LAG() and LEAD()

50 XP

Seeing prior and future periods

100 XP

Seeing the prior three periods

100 XP

Calculating days elapsed between incidents

100 XP

Finding maximum levels of overlap

50 XP

Analyze client data for potential fraud

100 XP

Build a stream of events

100 XP

Complete the fraud analysis

100 XP

Wrapping up

50 XP

Start Chapter

Time Series Analysis in SQL Server

Course
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Don’t just take our word for it

*4.8

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REMISH

2 days ago

Tyler

3 days ago

Suggested to think solution before diving into guidances, helping me to deeply understand what I learned.

Alexander

3 days ago

Great course and great instructor. Really liked how Maham showed what has happening under the bonnet with some of the queries.

Tom

4 days ago

Camilo Andres

4 days ago

Felix

2 weeks ago

REMISH

"Suggested to think solution before diving into guidances, helping me to deeply understand what I learned."

Tyler

"Great course and great instructor. Really liked how Maham showed what has happening under the bonnet with some of the queries."

Alexander

FAQs

What SQL Server skills should I have before taking this time series course?

You need experience with intermediate SQL Server concepts and basic SQL Server querying. Familiarity with aggregation functions and joins is expected.

What time series techniques are taught using SQL Server?

You will learn to build and parse dates, calculate running totals, compute moving averages, display month-over-month differences, and use window functions for temporal analysis.

Does the course cover converting messy date strings into proper date types?

Yes. An entire chapter focuses on converting strings and other inputs to SQL Server date and time data types, including handling invalid date strings gracefully.

What kind of sample data is used in the exercises?

The course uses realistic sample datasets that let you practice business-relevant scenarios like calculating trends, aggregating data over time periods, and formatting dates for reports.

Can I apply these skills outside of SQL Server?

The core concepts of date manipulation, window functions, and temporal aggregation transfer well to other SQL dialects, though the specific functions taught are SQL Server syntax.

Join over 19 million learners and start Time Series Analysis in SQL Server today!

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Time Series Analysis in SQL Server

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Training 2 or more people?

Course Description

Prerequisites

Working with Dates and Times

Converting to Dates and Times

Aggregating Time Series Data

Answering Time Series Questions with Window Functions

Earn Statement of Accomplishment

Don’t just take our word for it

FAQs

What SQL Server skills should I have before taking this time series course?

What time series techniques are taught using SQL Server?

Does the course cover converting messy date strings into proper date types?

What kind of sample data is used in the exercises?

Can I apply these skills outside of SQL Server?

Join over 19 million learners and start Time Series Analysis in SQL Server today!

Create Your Free Account

Grow your data skills with DataCamp for Mobile

Course Description

Earn Statement of Accomplishment

Don’t just take our word for it

FAQs

What time series techniques are taught using SQL Server?

Does the course cover converting messy date strings into proper date types?

What kind of sample data is used in the exercises?

Can I apply these skills outside of SQL Server?

Join over .css-nklxlk{color:var(--wf-brand--main, #03EF62);}19 million learners and start Time Series Analysis in SQL Server today!

Create Your Free Account

Grow your data skills with DataCamp for Mobile

Join over 19 million learners and start Time Series Analysis in SQL Server today!