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Introduction to Inferential Statistics

by 365 Careers

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    00:00 Now that we have covered the basics of descriptive statistics, it is time to move on to inferential statistics.

    00:07 Inferential statistics refers to methods that rely on probability theory and distributions, in particular to predict population values based on sample data.

    00:16 While this definition may not be completely clear just yet.

    00:20 Starting from the next lesson, we will define what a distribution is, and we'll go through a couple of the distributions you will likely use at work.

    00:28 This will naturally lead us to the point estimates, and we will conclude the section with confidence intervals.

    00:33 We will not only present these topics, but we'll also develop a deep understanding of the statistical processes.

    00:40 This will help you a great deal if you decide to get into data science.

    00:44 I recommend that you complete all the exercises provided, as they will reveal additional subjects you will be in charge of researching.

    00:52 These insights will likely be your gateway to the fundamentals of quantitative research and data driven decision-making.

    00:58 Good luck with the lessons and have fun.


    About the Lecture

    The lecture Introduction to Inferential Statistics by 365 Careers is from the course Statistics for Data Science and Business Analysis (EN).


    Author of lecture Introduction to Inferential Statistics

     365 Careers

    365 Careers


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