Created by Smit Shah | Last updated 12/2019
Duration: 3.5 hours | 59 lectures | Video: 1280x720, 44 KHz | 691 MB
Genre: eLearning | Language: English + Sub
Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data.
With these courses, you will learn to confidently evaluate statistical models, simulate data, and draw conclusions from a wide variety of data sets.
No Prerequisites
With this Course, you will learn to confidently evaluate statistical models, simulate data, and draw conclusions from a wide variety of data sets. You will build the Foundation you need to think statistically and to speak the language of your data. Then you would practise how to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing. You will also explore the concepts and applications of linear models with python and build models to describe, predict, and extract. At the end you will wrap up by solving increasingly complex problems using simulations to generate and analyze data.
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Who this course is for:
Begineer Python developers curious about data science.
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