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RichardOnData

RichardOnData Subscriber Count - YouTube Channel Stats

@richardondataEnglish flagEnglishProgrammingTier C
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Channel age: 6 years (joined September 2019)

RichardOnData subscriber count: 26,500 subscribers on YouTube. The channel has 1,044,629 total views across 127 videos. Channel age: 6 years (joined September 2019).

Subscriber count
27K
Growth (7d)
-
Total views
1.0M
Videos
127
Avg views/video
8.2K

Subscriber growth

Not enough history yet - growth is tracked from first discovery.

About

Knowledge and education are important. But you DON'T have to have multiple PhD's in mathematics, computer science, and statistics -- as well as working knowledge of C++, Java, Python, and Hadoop in order to get MOST data science jobs. On this channel, I want to help make both getting a data science job and acquiring the skills and thought processes you need a lot simpler and easier than that. I post here at least once a week with videos on: my own experiences in data science, on what's happening in the data science industry, practical applied statistics tutorials, R programming tutorials, and explain concepts so that you can understand them and use them! (Whether that's in the job you have now, the job you're trying to get, or for entertainment.)

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RichardOnData on YouTube - frequently asked questions

What is the RichardOnData subscriber count?
RichardOnData has 26,500 subscribers on YouTube. The count is refreshed from the YouTube Data API.
How many views does RichardOnData have?
RichardOnData has 1,044,629 total views across 127 videos.
When did RichardOnData start on YouTube, and how old is the channel?
RichardOnData created its YouTube channel in September 2019. The channel is 6 years old. Searches for RichardOnData age often mean a personal age, which we do not publish. The figure here is the channel age only.
What does RichardOnData make videos about?
RichardOnData is classified under Programming in our directory. About: "Knowledge and education are important. But you DON'T have to have multiple PhD's in mathematics, computer science, and statistics -- as well as working knowledge of C++, Java, Python, and Hadoop in o".