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Practical Data Analysis with SQL

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.

4.6
30 Lessons
9h
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • Familiarity with advanced concepts and techniques for analyzing data using SQL
  • The ability to generate random data for training and benchmarking
  • Familiarity with datasets through descriptive statistics and histograms
  • Working knowledge of binning techniques and time series analysis
  • The ability to produce cumulative aggregation, subtotals, cubes, pivot tables, and data summaries for analysis
  • The ability to clean and prepare data with interpolation and linear regression

Learning Roadmap

30 Lessons6 Quizzes

2.

Basic SQL for Data Analysis

Basic SQL for Data Analysis

Get started with basic SQL query structure, data generation, and creating CTEs for analysis.

3.

Descriptive Statistics

Descriptive Statistics

3 Lessons

3 Lessons

Examine descriptive statistics using SQL for numerical and categorical series analysis.

4.

Grouping and Subtotals

Grouping and Subtotals

4 Lessons

4 Lessons

Apply your skills to aggregate, analyze, and generate detailed subtotals using SQL techniques.

5.

Running and Cumulative Aggregation

Running and Cumulative Aggregation

5 Lessons

5 Lessons

Dig deeper into running and cumulative aggregation techniques using SQL window functions.

6.

Interpolation

Interpolation

4 Lessons

4 Lessons

Focus on handling missing values, filling techniques, and linear interpolation for data accuracy.

7.

Binning

Binning

4 Lessons

4 Lessons

Approach data binning, including equal-height and equal-width techniques, for effective categorization.
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Author NamePractical Data Analysis withSQL

Show License and Attributions

Developed by MAANG Engineers
ABOUT THIS COURSE
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!
ABOUT THE AUTHOR

Haki Benita

Haki is a technical lead and a tech blogger interested in databases, web development, software design and performance tuning.

Learn more about Haki

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