Gain insights into advanced SQL data analysis techniques. Explore producing descriptive statistics, handling missing data, and analyzing time series. Discover aggregating results and preparing data for analysis.

SQL databases have been around since the 1970s. Some of the smartest people in the world worked on making it easy to slice, dice, fetch and manipulate data quickly and efficiently. SQL databases have come such a long way that many developers and data scientists have lost track of what they can do with plain SQL.

In this course, you will learn advanced concepts and techniques for analyzing data using SQL. You will obtain hands-on experience in producing descriptive statistics, breaking a large query into multiple steps and samples, and cleaning and preparing data for analysis. You will learn how to produce aggregate results and subtotals, analyze a time series using cumulative and window frames, how to handle and fill missing data, and how to produce buckets and histograms.

After completing this course, you will be able to gain actionable insight from your data using nothing but SQL!

Practical Data Analysis with SQL

What is the result of the expression `0 = NULL`?

What is the result of the expression <code>0 = NULL</code>?

Is the result of the expression `A = 1` equivalent to `A IS NOT DISTINCT FROM 1`?

Is the result of the expression <code>A = 1</code> equivalent to <code>A IS NOT DISTINCT FROM 1</code>?

What is the result of the expression `NULL IS NOT DISTINCT FROM NULL`?

What is the result of the expression <code>NULL IS NOT DISTINCT FROM NULL</code>?

What is the result of the expression `COALESCE(NULL, 1, NULL, 2)`? 

What is the result of the expression <code>COALESCE(NULL, 1, NULL, 2)</code>?

Only if there are no consecutive missing values

Can you use the window function `LEAD` to get the last known value for forward fill?

Can you use the window function <code>LEAD</code> to get the last known value for forward fill?

Test your knowledge of interpolation in PostgreSQL.

Test your knowledge of interpolation in PostgreSQL.

Test yourself for interpolation in PostgreSQL.

Introduction

Basic SQL for Data Analysis

Descriptive Statistics

Grouping and Subtotals

Running and Cumulative Aggregation

Interpolation

Binning

Conclusion

Quiz: Interpolation