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

SELECT
  t_outer.*,
  (
    -- Find the last temperature in the same city
    SELECT 
      temperature
    FROM
      temperatures t_inner  
    WHERE
      -- Same city
      t_inner.city = t_outer.city
      -- Days prior to "outer" current date
      AND t_inner.day < t_outer.day
    ORDER BY
      t_inner.day DESC
    LIMIT 
      1
  ) previous_temperature
FROM
  temperatures t_outer
ORDER BY
  t_outer.city,
  t_outer.day;
  

Learn how to get values from next or previous rows in SQL.

Introduction

Basic SQL for Data Analysis

Descriptive Statistics

Grouping and Subtotals

Running and Cumulative Aggregation

Interpolation

Binning

Conclusion

Next and Previous Rows

Overview