RichardOnData
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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The Data Job Market in 2024
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R or Python: Which Should You Learn in 2024?
Four Data Science Jobs: My Experiences
10 Python Packages You Should Know (in 2024)
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How to Setup Your Python Environment (With VSCode & Anaconda)
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Update | Where I’ve Been
Tufte's Principles of Graphical Integrity
Why Is It SO HARD to Get a Data Science Job?
I Quit My Data Science Job. Here’s Why
10 Good Coding Practices for Data Science
Data Science Advice for College Students
The TRUTH About Learning Data Science
Is the Future of Data Work Remote?
The State of Data Science in 2021 | Anaconda's Annual Report
What Is Data Engineering?
When Should You Use Regression Methods?
Tuning hyperparameters and stacking models with "tidymodels" | R Tutorial (2021)
Evaluating ML Performance, Resampling, and Workflows in "tidymodels" | R Tutorial (2021)
Intro to machine learning in R with "tidymodels" | R Tutorial (2021)
20 R Packages You Should Know
Creating ROC curves and ensembling models in R with "caret" | R Tutorial (2021)