Data Analysis SQL Fundamentals

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

Intermediate

SQL, PostgreSQL, DBMS/RDBMS

SQL data analysis learned through various cases

dooleyz3525

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Intermediate / SQL, PostgreSQL, DBMS/RDBMS, Data Engineering, data-analysis

4.9

(50)

In Part 2 of the lecture, 'SQL Data Analysis through Various Cases', we will perform various types of sales analysis, order analysis, website access and usage analysis, and website performance analysis using SQL based on Google Analytics-type data sets. We will meet you with a rich set of analysis topics, such as session and DAU/WAU/MAU, traffic source analysis by device/ad channel, landing page analysis, bounce rate and exit rate aggregation, RFM analysis, retention rate, and funnel analysis.

A key weapon for real-world analysis ,
Analytic SQL!

Analytic SQL, also known as Window Function, has played a major role in making SQL the center of corporate data analysis with its convenient and flexible analysis usability and advanced statistical functions. In this lecture, we will explain almost all of the Analytic SQL frequently used in practice .

In particular, we have prepared various visual materials to help you understand Analytic SQL more easily. We will also help you master Analytic SQL through considerations when applying it and various types of practice SQL.

Features of this course ✨

Rich description of core SQL operation mechanisms

We provide a detailed explanation of how different types of joins work, as well as how Group by and Analytic SQL work.

A variety of practice problems combining core understanding and advanced content

The main SQL exercises consist of live coding, and various practice problems are prepared so that you can learn in-depth content while understanding the core.

Analytic SQL - I can't explain it in more detail than this

We will explain in detail how the main components of Analytic SQL, Partition, Sort, and Window, work with visual aids. We will also inform you of errors that are easily overlooked when using Analytic SQL and how to resolve them.

Bonus! 100 pages of lecture material provided

We provide a 100-page lecture textbook, practice SQL code, and datasets so that you can fully understand the content without difficulty even on your own.

Practice environment
Check it out 💻

PostgreSQL is used as the practice environment DBMS and DBeaver is used as the SQL editor.

PostgreSQL is an open source DBMS that is provided free of charge and has stability, performance, and, above all, rich SQL support functions. It satisfies the Ansi SQL standard and has various SQL functions and analytical functions, so it is widely used not only online but also as an analytical DBMS.

DBeaver Community Edition is free, but it has better features, faster performance, and stability than most commercial SQL Editors. DBeaver supports various DBMSs such as PostgreSQL, MySQL, and Oracle.

📢 Instructions for downloading lecture materials

The lecture materials (PDF), practice SQL code, and data can be downloaded from the [Download lecture materials and practice code] class in Section 0: Introduction to the lecture and setting up the practice environment.

Q&A 💡

Q. Can someone who knows nothing about SQL take the course?

This lecture is for those who have a brief basic knowledge of SQL. The lecture proceeds on the assumption that you know about SELECT, WHERE clause, and ORDER BY, so the lecture starts with JOIN. If you are new to SQL, I recommend that you watch a short SQL basic introduction lecture of about 1~2 hours on YouTube or Inflearn. The pre-course knowledge is explained in more detail at about 5 minutes of the lecture introduction video.

Q. Do I need to take this course first to take the "SQL Data Analysis with Various Case Studies" course that will be released later?

Unfortunately, the SQL data analysis course that will be released later, with various cases, assumes that you have some knowledge of the content explained in this course. For prerequisite knowledge for taking the SQL data analysis course with various cases, please refer to the course introduction in Section 0 of the course curriculum and the course selection guide for those who have not taken the Data Analysis SQL Fundamentals course in advance and refer to it when selecting a course.

Letters from knowledge sharers 💌

In the field of data analysis, I have been thinking about how to improve both data analysis skills and SQL utilization skills at the same time for a long time (and that is why I am losing my hair...).
In order to catch these two rabbits, we plan to release two series of lectures that will continuously improve your skills by implementing various types of practical data analysis indicators and various analysis requirements desired in the field using SQL.

Firstly, the 'Data Analysis SQL Fundamentals' course being released this time is designed to help you solidify your SQL capabilities through detailed explanations of the basic mechanisms that make up SQL and various practical exercises.
In particular, we will explain Analytic SQL, the core SQL weapon for data analysis, in detail from A to Z, so you will be able to have solid confidence in Analytic SQL wherever you are.

I created this course so that it can be a valuable time for you to improve your SQL skills. Questions are always welcome and I hope to see you in class.
Well then, I'll quickly disappear to finish the lecture 'SQL Data Analysis with Various Case Studies' that will be released soon.

thank you

강의소개.콘텐츠.추천문구

학습 대상은 누구일까요?

Those who want to improve their SQL skills
Those who want to build a solid foundation in analytical SQL
Data Scientists and Data Analysts Using SQL
Data engineers who need to perform data processing/extraction/refinement on SQL-based data to create tables for analysis or marts
If you have learned the basic SQL grammar but still find it difficult to apply SQL to your analysis work

선수 지식, 필요할까요?

SQL grammar (Select, Where clause, etc.) for beginners

강의소개.지공자소개

27,455

수강생

1,452

수강평

4,051

답변

4.9

강의 평점

강의_other

(Former) Encore Consulting

(Former) Oracle Korea

AI Freelance Consultant

Author of Python Machine Learning Perfect Guide

커리큘럼

전체

76개 ∙ (강의상세_런타임_시간 강의상세_런타임_분)

해당 강의에서 제공: [object Object]

섹션 1. Introducing the lecture and setting up the practical environment.

6개 ∙ (강의상세_런타임_분)

섹션 2. Join - Join-based mechanism

7개 ∙ (강의상세_런타임_시간 강의상세_런타임_분)

7. Understanding Join Overview and Dataset Level Changes During Joins - 01
10:32
8. Understanding Dataset Level Changes When Joining - 02
08:21
9. Join Practice - 01
13:39
10. Join Practice - 02
07:59
11. Understanding Data Connections
15:19
12. Join Practice - 03
10:50
13. Join Practice - 04
14:25

섹션 3. Join - Outer Join, Non Equi Join, Cross Join

6개 ∙ (강의상세_런타임_시간 강의상세_런타임_분)

14. Understanding Inner Join, Left/Right Outer Join, and Full Outer Join
12:20
15. Outer Join Practice - 01
09:59
16. Outer Join Practice - 02
13:22
17. Full Outer Join Practice
05:08
18. Understanding Non Equi Joins and Cross Joins
06:49
19. Non Equi Join and Cross Join Practice
17:13

섹션 4. Handling Date, Timestamp, and Interval

5개 ∙ (강의상세_런타임_시간 강의상세_런타임_분)

섹션 5. Group by and Aggregate Function

10개 ∙ (강의상세_런타임_시간 강의상세_런타임_분)

섹션 6. Analytic SQL - Overview and Rankings Analytic

6개 ∙ (강의상세_런타임_분)

섹션 7. Analytic SQL - Aggregate Analytic and Window Details

12개 ∙ (강의상세_런타임_시간 강의상세_런타임_분)

섹션 8. Analytic SQL - lead/lag, first_value/last_value, rank/reverse quantile functions

7개 ∙ (강의상세_런타임_시간 강의상세_런타임_분)

섹션 9. [Appendix] Sub-query

16개 ∙ (강의상세_런타임_시간 강의상세_런타임_분)

섹션 10. In conclusion

1개 ∙ (강의상세_런타임_분)

강의 게시일: 03/29/2022

마지막 업데이트일: 08/07/2025

수강평

전체

159개

4.9

159개의 수강평

tinimoon0549
수강평 2
∙
평균 평점 5.0
04/28/2022
5
8% 수강 후 작성
It was a great help in my work at the company. I couldn't just ask the engineers all the time and was in a difficult situation... This lecture was like a savior.
omg
수강평 206
∙
평균 평점 5.0
05/10/2022
5
100% 수강 후 작성
Thank you for the great lecture. It was good to proceed with a familiar developer.
sorayeon
수강평 81
∙
평균 평점 5.0
04/19/2022
5
91% 수강 후 작성
If you think you know the basics of SQL, you absolutely must take this course. It's a really good course. I'm enjoying it a lot. Haha. I haven't even finished listening to it yet, but I'm looking forward to the next course.
technomian
수강평 1
∙
평균 평점 5.0
04/19/2022
5
100% 수강 후 작성
It was a really good lecture to build the basics with a good balance of theory and practice!
taegeunkim2252
수강평 25
∙
평균 평점 5.0
01/24/2023
5
100% 수강 후 작성
This is a lecture that develops SQL skills that are essential for practical work, not just simple SQL grammar. I personally confidently rate this as the top SQL practical lecture in Korea. I was deeply moved by the lecture and the thrill of the Han River. I am now going to the follow-up lecture~~
- dooleyz3525
  지식공유자
  01/24/2023
  Thank you for making the lecture worthwhile.

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