C Programming Language - Intro to Computer Science - Harvard's CS50 (2018)
Published January 23, 2019
At a glance
Views
1,228,802
Likes
27,019
Comments
501
Performance vs. channel
All-time outlier score
Engagement rate
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About
Learn the the basics of the C programming language. This course teaches the foundations of computer science. This video is lecture 1 of Harvard University's CS50 2018 course (part 2 since the lectures start at 0). 🔗Notes: https://cs50.harvard.edu/x/2020/notes/1/ 🔗Problem Set: https://cs50.harvard.edu/x/2020/psets/1…
- Published
- January 23, 2019
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How C Programming Language - Intro to Computer Science - Harvard's CS50 (2018) is doing
It has 1.22M views in total. It ranks #3,669,846 among tracked YouTube videos by views.
Key facts about C Programming Language - Intro to Computer Science - Harvard's CS50 (2018)
- Total views
- 1.22M
- Total likes
- 27.0K
- Total comments
- 501
- Published
- January 23, 2019
- Global rank by views
- #3,669,846
Frequently asked questions
How many views does C Programming Language - Intro to Computer Science - Harvard's CS50 (2018) have?
C Programming Language - Intro to Computer Science - Harvard's CS50 (2018) has 1,228,802 views, 27,019 likes and 501 comments, ranking #3,669,846 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
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