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데이터쑰아 DataJoa @UCm743gyRHVShL30zxc_VcbQ@youtube.com

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λΈ”λ‘œκ·Έ : blog.naver.com/data-joa. μ•ˆλ…•ν•˜μ„Έμš” 데이터에 관심이 λ§Žμ€ λ°μ΄ν„°μ‚¬μ΄μ–Έν‹°μŠ€νŠΈ λΆ€

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08:35
μž‘λ…„ λ―Έκ΅­ νšŒμ‚¬ 20%의 직원 정리해고 (Layoff) | λ―Έκ΅­ 직μž₯의 μž₯단점 | 데이터 μ‚¬μ΄μ–Έν‹°μŠ€νŠΈ
10:42
λ―Έκ΅­ 박사 퀄 (Qualifying Exam) μ‹€νŒ¨ ν›„ μ·¨μ—…ν•œ 이야기 | λ―Έκ΅­ 데이터 μ‚¬μ΄μ–Έν‹°μŠ€νŠΈ
08:44
λ―Έκ΅­ 박사 μœ ν•™ 후에 퀄 μ‹œν—˜ (PhD Qualifying Exam) μ‹€νŒ¨ 이야기 | μ§€κΈˆμ€ λ―Έκ΅­ 쀑견 ν…Œν¬κΈ°μ—…μ—μ„œ 데이터 μ‚¬μ΄μ–Έν‹°μŠ€νŠΈ
05:44
LeetCode λ¦¬νŠΈμ½”λ“œ μ‰¬μš΄ 레벨 SQL50 | Article Views I
07:43
LeetCode λ¦¬νŠΈμ½”λ“œ πŸ›’οΈ SQL초보 인터뷰 문제 μ—°μŠ΅ν•˜κΈ° | 2. Find Customer Referee
14:51
πŸ‡ΊπŸ‡Έ λ―Έκ΅­ 데이터 κ³Όν•™μž μ·¨μ—… 이λ ₯μ„œ μ–΄λ–»κ²Œ μ“°λ‚˜μš” | 데이터 μ‚¬μ΄μ–ΈμŠ€ 레μ₯¬λ©”
06:29
LeetCode SQL 50 - (Select) 1. Recyclable and Low Fat Products
06:49
What should I do if I want to become a data scientist in the United States (for international ppl)
07:39
πŸ‡ΊπŸ‡Έ US Working Mom | Nanny Babysitter Cost | Daycare? Or Nanny?
05:02
πŸ‡ΊπŸ‡Έ λ―Έκ΅­ μ›Œν‚Ήλ§˜ 이야기 | 어린이집 λΉ„μš© | μΆœμ‚° νœ΄κ°€ κΈ°κ°„ | 데이터 μ‚¬μ΄μ–Έν‹°μŠ€νŠΈ 직μž₯인
07:10
데이터 μ‚¬μ΄μ–Έν‹°μŠ€νŠΈκ°€ 되고 μ‹ΆμœΌλ©΄ "이것"λΆ€ν„° κ³΅λΆ€ν•˜μ„Έμš” | 온라인 ν”Œλž«νΌ Udemy
07:14
문과생이 데이터 μ‚¬μ΄μ–Έν‹°μŠ€νŠΈκ°€ 될 수 μžˆμ„κΉŒ? (feat. 데이터 κ³Όν•™μž, μ–΄λ–€ μŠ€ν‚¬μ΄ ν•„μš”ν• κΉŒ?)
18:27
λ―Έκ΅­ 데이터 κ³Όν•™μž - μ–΄λ–€ 인터뷰λ₯Ό λ³΄λ‚˜μš”? (Data Scientist Interview)
04:56
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 18. SubQuery
05:01
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 17. Union
06:35
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 16. Full Join
03:40
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 15. Right Join
05:44
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 14. Left Join
09:04
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 13. Inner Join
05:31
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 12. CASE WHEN
03:00
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 11. As
04:41
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 10. Having
05:16
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 9. Group By
04:15
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 8. SUM, AVG, MIN, MAX
04:52
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 7. Count
03:44
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 6. Order By
06:36
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 5. Between, Like
03:11
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 4. Where (2)
04:34
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 3. Where (1)
02:39
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 2. Select * From
05:23
(ν•˜λ£¨λ§Œμ— λλ‚΄λŠ”) 싀전을 μœ„ν•œ SQL 무료 κ°•μ˜ - 1. Select From