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Data Science

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Data Analysis

[SQL Quest] Strengthen your SQL skills by solving real-world problems (Basic)

This course will solidify the basics of SQL through various problems that can be encountered in the actual IT industry. Solve the problem-solving quests, take the first step toward data analysis, and strengthen your SQL skills that can be applied in real life!

(5.0) 3 reviews

31 learners

  • whiz
3시간 만에 완강할 수 있는 강의 ⏰
실전문제풀이
sql
쿼리
dbeaver
SQL
sql-query
bigquery
Data literacy

What you will learn!

  • Understanding SQL Basic and Intermediate Grammar

  • IT industry terminology and domain knowledge

  • Experience with real-world data analysis topics

🚀 Improve your skills by solving SQL problems

Big data is at the core of modern business, and one of the most essential tools for effectively managing and analyzing this data is SQL . Various media outlets are emphasizing the importance of SQL, and the growing demand for related training programs is testament to its growing demand.

We've all had experiences like this: after studying the theory as a child and solving the examples lightly, we got frustrated when the actual test came and the problems felt difficult, and when we were making notes of our wrong answers, we thought, "Why did I get it wrong even though I studied it all?"

Likewise, when it comes to query tests for getting a job as a data analyst or SQL queries that analysts encounter at work, it's clear that they've learned and seem to know them, but they often feel awkward and difficult when it comes to solving problems.🤦‍♂️

Solving these problems requires repetition of specific problem situations, understanding the problem-solving process through these repetitions, and developing adaptability. SQL Quest focuses on problem-solving (Quest Clear) based on various indicators and data used in the IT industry . This course will help you improve your skills through problems based on real-world business scenarios.

🔍 What sets SQL Quest apart?

Many problems on the market involve pre-compiled data or real-world data examples that are far removed from practical applications. While these examples can help build fundamental SQL skills, they often make it difficult to address the diverse issues encountered in real-world situations.

💡 Problem structure that can be applied immediately in practice

  • Many problems on the market involve pre-compiled data or real-world data examples that are far removed from practical applications. While these examples can help build fundamental SQL skills, they often make it difficult to address the diverse issues encountered in real-world situations.

  • We use mobile game data specifically created for this course. This will further enhance your adaptability to practical data analysis. Furthermore, by working with both raw and aggregated data, you can develop the ability to respond to various issues arising from each.

  • You'll gain firsthand experience with the diverse terminology used in the gaming and IT industries. Beyond simply writing and mastering SQL queries, you'll gain domain knowledge across the industry, giving you a competitive edge.

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🌱 Progressive skill improvement through step-by-step learning

  • Drawing on our expertise accumulated through numerous lectures, we've carefully considered the difficulty of each quest. The quests are systematically arranged to avoid repeating overly easy levels or abruptly increasing difficulty levels, which can discourage students from solving problems.

  • Problem-solving skills can be improved through repetitive learning and lecture videos, and the program is structured in stages so that students can experience improvement in their skills rather than simply solving problems.



🎯 Focus On "SELECT"

  • You'll focus solely on the SELECT statement and face related quests. As a data analyst or user of existing data, SELECT is the most frequently used syntax in practice, so you'll pursue efficient skill improvement through repeated understanding of this syntax.

  • The goal of this course is not to train data experts or become database masters. Rather, it aims to improve data extraction and basic query skills in data analysis or within relevant departments.

  • This course does not cover database fundamentals or the various SQL syntaxes (CREATE, ALTER, UPDATE, etc.). While proficiency in various DDL and DML techniques can be a valuable competitive advantage for analysts in the long run, this course does not cover these topics.

🎓 Experience processing data in a real-world environment: Using Google BigQuery

This course goes beyond simple SQL grammar and focuses on practical data analysis using Google's BigQuery. BigQuery is a rapidly growing platform in the fields of data analysis and data science, offering a competitive edge in the job market.

  • Experience with industry-standard tools : BigQuery is used by many companies for large-scale data analysis. Experience using this platform adds real value to your resume and gives you an edge in the job market.

  • Practical Data Analysis Skills : By learning with tools used in real-world work environments, students will gain practical, industry-ready data analysis skills.

  • Understanding the latest technology trends : Using BigQuery helps you understand the latest data processing technologies and trends, providing a foundation for discussing modern data analysis methodologies in technical interviews.

In this course, you'll practice the skills essential for building a career as a data analyst and gain real-world experience that will give you a competitive edge in the job market.

🏫[ SQL Quest] Basic

🌟 SQL Quest Basic: The first step toward practical skills!

SQL Quest is designed with three difficulty levels: Basic, Intermediate, and Advanced. SQL Quest's "Basic" difficulty level is designed for everyone, from those still unfamiliar with SQL to those looking to solidify their fundamentals.

  • Those who have not learned SQL for long

  • Those who want to strengthen their basic skills

  • Anyone who needs some light practice before a coding test

Although it is said to be Basic difficulty, it does not only cover basic query queries, but also provides various quests and explanations to help you become familiar with various terminology and gain a rich understanding of aggregate functions (MIN, MAX, AVG, SUM, COUNT, etc.) and CASE WHEN .

Not only will you gain sufficient practical skills with just the Basics, but we've also included questions of intermediate to advanced difficulty to help you gain a competitive edge on query tests. Take on the Level Up Quest and hone your skills in various functions and commands, including JOINs, subqueries, and WINDOW functions !


🚀 Join SQL Quest Basic today and take your SQL skills to the next level!

Recommended for
these people

Who is this course right for?

  • People who lack basic SQL skills

  • People who need to improve their SQL skills by increasing their query writing experience

  • People who are about to take a query test (Analyst job test)

Need to know before starting?

  • SQL Basic Grammar

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31

Learners

3

Reviews

2

Answers

5.0

Rating

1

Course

안녕하세요! 8년차 게임 데이터 분석가🎮Whiz입니다.

데이터 분석가가 되기 위해서는 어떤 스킬을 배워야 할지, 현재 내가 부족한 것은 무엇일지, 도메인 지식은 무슨 말이고 코딩, 쿼리, 데이터 시각화, 머신러닝은 내가 할 수 있는 영역인지 막연하기도 하고 멀게만 느껴지기도 합니다. 데이터분석가가 되고 싶은분들께 문과 학생에서 데이터 분석가가 되기까지 쌓은 노하우와 경험을 바탕으로 취업 성공까지 도착할 수 있도록 도와드리겠습니다!

 

데이터 분석가 멘토링: https://inf.run/bQyx8

SQL 실전 문제풀이 강의(Basic): https://inf.run/dFmTc


주요 업무 내역

  • 데이터 파이프라인 및 데이터 마트 설계

  • 서비스 개선을 위한 트래픽 및 매출 데이터 분석

  • Tableau 대시보드 개발 및 관리

  • 머신러닝을 통한 예측 및 분류

  • 전사 대상 서비스 지표 보고

  • 유저 세분화 및 콘텐츠 분석

  • 트래픽 트렌드 예측

 

Curriculum

All

33 lectures ∙ (2hr 16min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

3 reviews

5.0

3 reviews

  • gpg님의 프로필 이미지
    gpg

    Reviews 9

    Average Rating 5.0

    5

    100% enrolled

    SQL 기초부터 자주 쓰이는 서브쿼리, 조인 등 문법을 쉽게 또, 실전적으로 잘 알려주십니다. 기초 쌓기에 도움 많이 됩니다! 또는 예전에 많이 썼지만, 한동안 안 써서 가물한? 손이 굳은 분들에게도 감각 찾기에 아주 좋은 것 같습니다~!

    • minsubrother님의 프로필 이미지
      minsubrother

      Reviews 1

      Average Rating 5.0

      5

      100% enrolled

      오잉! 첫번째로 수강평을 달게 되었네요. SQL 실력을 쭉쭉 향상할 수 있었고, 서비스 지표도 알게 되어서 만족스러운 강의였습니다. 문제를 풀면서, 강사님께서 고심을 하면서 문제를 잘 만들었다는 생각이 들었습니다. 세션 별로, 난이도가 잘 구성되어있고, 강사님께서 제한 시간도 잘 선정해주셔서, 문제를 풀면서 재미를 느낄 수 있었습니다. 특히, 마지막 세션의 경우 단계별로 기준을 작성하고 문제를 풀이하는 능력과 서브 쿼리문 등을 자유롭게 수행하는 저를 보면서, 실력이 향상되는 것을 몸소 느낄 수 있었습니다. 마지막 강의의 경우 주석부분에 GAU라는 부분이 나왔는데, 검색해보니까 게임 업계에서 GAU 또한 서비스 지표라는 것을 알 수 있었습니다. 컨텐츠 내용 외에도 문제 풀이 시간에, 문제별로 어떻게 풀어야하는지 강사님께서 또박또박 잘 가르쳐주시고, 다른 풀이도 알려주셔서 새로운 시각으로 쿼리 문을 작성하는 능력을 키울 수 있었습니다. 강사님께서 추후에 intermediate 강의를 여시게 되면, 꼭 듣도록 하겠습니다. 좋은 강의 만들어주셔서 감사합니다.

      • WHIZ
        Instructor

        각 퀘스트를 풀어나가시면서 스스로 성장하심을 체감하셨다니 너무 기쁩니다 :) 다음 강의에서도 뵐게요!

    • 박동훈님의 프로필 이미지
      박동훈

      Reviews 1

      Average Rating 5.0

      5

      30% enrolled

      $26.40

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