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Introduction to Statistics in Python

In this project, learners will get a refresher of introductory statistics, learn about different python libraries that can be used to run statistical analysis, and create visualizations to represent the results. By the end of the project, the learners will import a real world data set, run statistical analysis to find means, medians , standard deviations, correlations, and other information of the data. The learners will also create distinct graphs and plots to represent the data. Along the way, the learners will not only learn the frequently used statistics functions, but also learn to navigate documentations for different python libraries in order to find assistance in the implementation of those functions, and find other relevant functions as well. This will help the learners to understand the material and implement more complex functions down the road instead of simply memorizing the syntax of one solution. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Length 2 weeks
Effort 2 hours
Starts Nov 21 (7 days ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Ekaterina Royal
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Probability And Statistics

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Rating Not enough ratings
Length 2 weeks
Effort 2 hours
Starts Nov 21 (7 days ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Ekaterina Royal
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Probability And Statistics

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