Statistics – A Full University Course on Data Science Basics

Learn the essentials of statistics in this complete course. This course introduces the various methods used to collect, organize, summarize, interpret and reach conclusions about data. An emphasis is placed on demonstrating that statistics is more than mathematical calculations. By using examples gathered from real life, students learn to use statistical methods as analytical tools to develop generalizations and meaningful conclusions in their field of study.

🎥 Course by Monika Wahi.
🔗 These lectures are based on the textbook Understanding Basic Statistics, 6th Edition, by Brase & Brase, available here:
🔗 Monika Wahi’s LinkedIn Learning courses are here:
🔗 Visit Monika Wahi’s web page here:
🔗 Monika Wahi’s peer-reviewed articles listed here:

⭐️ Course Contents ⭐️
⌨️ (0:00:00) What is statistics
⌨️ (0:33:34) Sampling
⌨️ (1:21:20) Experimental design
⌨️ (2:00:32) Randomization
⌨️ (2:16:25) Frequency histogram and distribution
⌨️ (2:35:58) Time series, bar and pie graphs
⌨️ (3:10:10) Frequency table and stem-and-leaf
⌨️ (3:39:41) Measures of central tendency
⌨️ (4:11:56) Measure of variation
⌨️ (4:58:35) Percentile and box-and-whisker plots
⌨️ (5:24:58) Scatter diagrams and linear correlation
⌨️ (6:39:54) Normal distribution and empirical rule
⌨️ (7:05:39) Z-score and probabilities
⌨️ (7:45:11) Sampling distributions and the central limit theorem

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46 thoughts on “Statistics – A Full University Course on Data Science Basics

  1. Hello, everyone! I hope you enjoy my statistics lectures! I also teach people how to analyze data using R software, so if you are interested in that, check out my LinkedIn Learning courses, or drop me an e-mail. Happy learning!

  2. If a government wanted to remove lockdowns because "enough" people had been vaccinated, what statistic(s) should they use? Is % of total population vaccinated enough?

  3. This is honestly immensely helpful. The information you covered is also being covered in my PhD classes and for some reason, I can understand exactly what you're saying vs. my professor :/

  4. I was following some old drama between tea channels and decided to learn statistics (don't ask how my brain works, but it's great!!) and thus video landed in my lap.
    Thank you YouTube algorithm for reading my thoughts.
    Now back to the video.

  5. I like how this lecture tried to disseminate hard and alienating subject of statistics in easier ways. I feel like statistics that are delivered through university platforms are usually quite messy and not very organized because, unlike calculus or engineering math subjects, statistics materials are very different from books to books and lectures to lectures.

    For example for simple topics like regression, the way some lectures explain the formula are just nightmares. Without clear explanation some lectures decide to divide some values for convenience during calculation, or use confusing names like SS, RSS for the same thing and mix naming conventions for vector, and elements of vectors while traversing through them to calculate cost functions etc.

    Statistics is useful, no doubt about that, but with the way they are taught in many of universities, I also got to hate statistic subjects although I did have great interests in other math and physics subjects.

  6. Hey, I know school is back and summer classes are hear with us meaning the essays and assignments are back. I could be of your assistance in handling the papers and I guarantee you value for your money with an A+ essay results. Kindly reach out to me through my email address

  7. Right off the bat there is false information in the video, there are no different flu viruses going around. You should extend your comprehensive knowledge into the human body and research non official sources to discover what a virus really is. You can start here
    . Let's hope the accuracy improves for the remainder of the video.

  8. My teacher told me statistics is used in machine learning, I guess he is wrong machine learning is used here to teach us the statistics literally the teachers voice is like an AI

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