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Mastering Probability and Statistics in Python

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Course Features

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Duration

12.31 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

12.31 hours

Course Description

This course teaches you how to combine statistics and probability with data science.

About This Video

  • Simple explanations, but a complete and comprehensive course
  • A complete, pythonic course that covers the fundamental concepts of data science.
  • Practical implementation of the concepts taught theoretically through live coding

Probability and statistics are essential fields of study in today's highly competitive business environment. Because statistical research provides businesses with the data they need in order to make informed business decisions, regardless of whether it's market research, product development timing, product launch timing, customer data analytics, sales forecasting, or employee performance.

But why is it important to master statistics and probability in Python?

You will be able to advance your career by having a solid grasp of the concepts of probability and statistics with data science. This course is carefully designed to help you understand the concepts and methodology in Python.

The course is as follows

  • Simple to understand
  • Expressive
  • Comprehensive
  • Practical with live coding
  • About creating links between machine learning and probability

This course will help you to understand and apply the theories and concepts of machine learning with probabilistic reasoning.

Who is this book for

This course is designed for people who want to learn probability and statistics, as well as how to apply them in real-world projects. This course is also beneficial for business analysts, data scientists, and anyone who wants to improve their data analysis skills. This course is for people who are interested in learning statistics and probability using real data sets in data science, and who are passionate about programming.

You don't need any prior knowledge. It is best to start with the basics and then build your knowledge. It is helpful to have a basic knowledge of Python, but it is not essential.

Course Overview

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Easy explanations, yet complete and comprehensive course

Fundamental, pythonic, and a complete course to master the important concepts used in data science

Practical with live coding of the implementation of the concepts learned theoretically

Target Students

This course is for individuals who want to learn statistics and probability along with its implementation in realistic projects

Data scientists and business analysts and those who want to upgrade their data analysis skills will also get the benefit

People who want to learn statistics and probability with real datasets in data science and are passionate about numbers and programming will get the most out of this courseNo prior knowledge is needed

You start from the basics and gradually build your knowledge of the subject

A basic understanding of Python will be a plus but not mandatory

Course Instructors

AI Sciences

Instructor

AI Sciences is the instructor for this course
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