Are you on a quest to conquer the world of applied statistics? Whether you’re a student, professional, or just a curious mind, YouTube has become an invaluable resource for learning. In this blog post, we’ll explore the best YouTube playlists that make learning applied statistics not just easy, but downright enjoyable.
As a student, I vividly recall the struggle of sifting through overwhelming or overly theoretical resources. After extensive online searches and seeking advice from seniors and professors, I curated a valuable list of YouTube playlists.
1. Applied Statistics (Entire Course) by Kimberly Brehm
Dive into descriptive and inferential statistics with Kimberly Brehm’s complete course.
Her clear explanations and practical exercises make complex concepts a breeze to understand. Kimberly Brehm’s playlist is a goldmine for anyone starting their journey in applied statistics. It covers both descriptive and inferential statistics, providing a solid foundation for understanding data analysis.
2. StatQuest with Josh Starmer Join Josh Starmer on a StatQuest!
Josh Starmer’s StatQuest is a fan favourite for its ability to demystify complex statistics and data science concepts. The Statistics Fundamentals playlist is particularly noteworthy, with over 60 videos covering everything from basic probability to multiple regression. Starmer’s engaging teaching style and clear visuals make learning statistics fun and accessible.
3. MIT Statistics for applications.
This course will provide you with a complete understanding of all the subtopics of statistics and how these fundamentals are applied to real-world scenarios as well. This course is beginner-friendly for those who just have a basic knowledge of math.
You will be able to explore the complete potential of statistics with professors at MIT.
A course you should definitely check out!
4. Zedstatistics (Beginner friendly)
Zedstatistics stands out for its engaging lectures that cover essential statistics concepts. The channel offers a range of playlists on topics like descriptive statistics, hypothesis testing, and regression. It’s an excellent resource for those who prefer a more lecture-based learning experience.
Although, the playlist provided in the link below doesn't go over every topic of statistics but builds an intuitive understanding over basic fundamentals of statistics.
5. Dr. Stats-A-Lot
Dr. Stats-A-Lot channel is perfect for those interested in R programming in addition to statistics. The detailed lecture videos cover various topics in great depth, making it a valuable resource for both beginners and advanced learners looking to enhance their statistical programming skills.
These YouTube playlists cover not just applied but also: descriptive, inferential and business statistics. These courses or playlists are gateways to becoming proficient in statistics. I as a student found these playlists to be the best in building the intuitions right. These playlists will not only build your theoretical knowledge but also help you apply the understanding to your projects and analytics profession.
The best part is all of these are YouTube tutorials so, are easily accessible to you at any time.
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