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[ FreeCourseWeb.com ] Complete Statistics BootCamp: Hands-On with Python

If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.com

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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.53 GB | Duration: 8h 18m
Learn how to apply probability and statistics to real data science and business applications using an hands-on approach
What you'll learn
Understand the fundamentals of statistics
Visualizing data, including bar graphs, , histograms, and scatter plots
Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
Probability, independent and dependent events and Bayes' theorem
Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
Hypothesis testing, including inferential statistics, significance levels, type I and II errors, test statistics, and p-values
Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE,
Extensive Case Studies that will help you reinforce everything you’ve learned
Build hands-on statistical toolset from scratch using Python

Description
Welcome to Complete Statistics BootCamp: Hands-On with Python

This course will cover all the core statistics knowledge required to succeed in data science, machine learning, or business analytics.

This practical course will go over hands-on implementation of statistics knowledge on real-world problems using Python programming language.

If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com

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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...

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