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