Mathematics and Statistics
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Upon completion of Statistical Thinking in Python (Part 1), participants will possess a probabilistic mindset and foundational skills in hacker statistics, enabling them to effectively analyze data sets and extract valuable insights. This course aims to further enhance and refine their hacker statistics toolkit, focusing on two crucial aspects of statistical inference: parameter estimation and hypothesis testing. Throughout the course, participants will engage with real-world data sets, culminating in the analysis of measurements pertaining to the renowned finches studied by Charles Darwin. By the end of this course, participants will have acquired new knowledge and extensive practical experience, equipping them to confidently tackle their own inference problems in real-world scenarios.
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Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis tes...
by DataCamp
Build the foundation you need to think statistically and to speak the language of your data.
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Take vital steps towards mastery as you apply your statistical thinking skills to real-world data se...
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Learn to solve increasingly complex problems using simulations to generate and analyze data.
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Take your reporting skills to the next level with Tableau’s built-in statistical functions.
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Apply statistical modeling in a real-life setting using logistic regression and decision trees to mo...
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Learn how to draw conclusions about a population from a sample of data via a process known as statis...
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Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algori...
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Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from d...
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Learn how to leverage statistical techniques using spreadsheets to more effectively work with and ex...