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Udemy-Connect the Dots: Linear and Logistic Regression 100% OF Coupon Code

Connect the Dots: Linear and Logistic Regression Udemy Course

Connect the Dots: Linear and Logistic Regression
Connect the Dots: Linear and Logistic Regression

Requirements:-

  • No statistics background required. The complete course is based on basic maths.
  • Models are implemented in Excel, R and Python. Install these environments to follow along with the demos

Course Description:-

Connect the Dots: Linear and Logistic Regression is a complete data analysis course that helps you to learn how to Build robust models in Excel, R and Python step by step in detail. The Author of the course Loony Corn helps you to learn this complete course from the beginning with deep explanation. The course contains many important topics that will help you to gain knowledge about this complete course. This course is particularly for data analyst who want to move from summarizing data to explaining and prediction

The course covers these important topics:-

Simple Regression : 

  • Method of least squares, Explaining variance, Forecasting an outcome
  • Residuals, assumptions about residuals
  • Implement simple regression in Excel, R and Python
  • Interpret regression results and avoid common pitfalls

Multiple Regression : 

  • Implement Multiple regression in Excel, R and Python
  • Introduce a categorical variable

Logistic Regression : 

  • Applications of Logistic Regression, the link to Linear Regression and Machine Learning
  • Solving logistic regression using Maximum Likelihood Estimation and Linear Regression
  • Extending Binomial Logistic Regression to Multinomial Logistic Regression
  • Implement Logistic regression to build a model stock price movements in Excel, R and Python

Course Info:-

Course Name: Connect the Dots: Linear and Logistic Regression

From: Udemy | Author: Loony Corn

Rating: 4.4 (54 ratings) | Students Enrolled: 7,486

Audio: English | E-Learning | Skill level: All Levels

Benefits of doing this course

  • Build robust linear models that stand up to scrutiny in Excel, R and Python
  • Use simple and multiple regression to explain variance
  • Simple and multiple regression to predict an outcome
  • Interpret the results of a regression
  • Understand the risks involved in regression and avoid common pitfalls

Content Source:- https://www.udemy.com/connect-the-dots-linear-regression/

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