Computer Science Lessons

Computer Science Lessons

@computersciencelessons
UCSX3MR0gnKDxyXAyljWzm0Q Created on YouTube: 14.04.2013 Lifestyle Open on YouTube
First seen in analytics: 12.04.2026
Subscribers
254 000
+2 000 / 30d
Views
21 298 626
+407 067 / 30d
Videos
363
+1 / 30d
Global Rank
#2,660
Topic Rank
#745
Lifestyle
Est. Monthly Earnings
$610 – $1,831
Based on 30-day views × topic CPM

Date

Date Subscribers ± Views ± Videos ±
2026-09-04 252 000 — 20 891 559 — 362 —
2026-09-05 252 000 0 20 902 063 +10 504 362 0
2026-09-06 252 000 0 20 906 509 +4 446 362 0
2026-09-07 252 000 0 20 910 953 +4 444 362 0
2026-09-09 252 000 0 20 919 408 +8 455 362 0
2026-09-10 252 000 0 20 929 181 +9 773 362 0
2026-09-13 252 000 0 20 944 961 +15 780 362 0
2026-09-15 252 000 0 20 955 229 +10 268 362 0
2026-09-16 252 000 0 20 961 725 +6 496 363 +1
2026-09-18 252 000 0 20 977 260 +15 535 363 0
2026-09-19 252 000 0 20 985 859 +8 599 363 0
2026-09-21 252 000 0 20 990 492 +4 633 363 0
2026-09-23 253 000 +1 000 21 006 270 +15 778 363 0
2026-09-27 253 000 0 21 031 343 +25 073 363 0
2026-09-29 253 000 0 21 043 631 +12 288 363 0
2026-10-03 253 000 0 21 071 282 +27 651 363 0
2026-10-04 253 000 0 21 076 166 +4 884 363 0
2026-10-09 253 000 0 21 107 763 +31 597 363 0
2026-10-14 253 000 0 21 140 974 +33 211 363 0
2026-10-23 253 000 0 21 200 101 +59 127 363 0
2026-10-25 253 000 0 21 207 656 +7 555 363 0
2026-10-26 253 000 0 21 212 384 +4 728 363 0
2026-10-27 253 000 0 21 222 576 +10 192 363 0
2026-10-28 253 000 0 21 229 270 +6 694 363 0
2026-10-29 253 000 0 21 236 644 +7 374 363 0
2026-10-30 253 000 0 21 238 932 +2 288 363 0
2026-11-02 254 000 +1 000 21 257 388 +18 456 363 0
2026-11-06 254 000 0 21 283 272 +25 884 363 0
2026-11-08 254 000 0 21 293 238 +9 966 363 0
2026-11-09 latest 254 000 0 21 298 626 +5 388 363 0
Daily Average 32 6 157 0
Weekly Average 500 43 121 0
Last 14 days 1 000 86 242 0
Last 30 days 1 000 190 863 0

Charts and Forecast for the Channel Computer Science Lessons

About the Channel Growth Forecast Computer Science Lessons: The forecast is based on linear regression of historical data and is intended for reference purposes only.

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