Logistic Regression is what we know to be a statistical method that is used to predict the outcome of a dependent variable based on previous observations. It is one of the types of regression analysis and is an algorithm used commonly for solving different binary classification problems. To learn more about Logistic Regression and how it is useful, our team at takethiscourse.net has compiled a list of Best + Free Logistic Regression Courses with Certificates.

Note that this list contains both free and paid courses for anyone interested in Logistic Regression. Let’s take a look at what this list contains for us.

#	Course Name	University/Organization	Ratings	Duration
1.	Deep Learning Prerequisites: Logistic Regression in Python	Udemy	★★★★★4.7 (3,723 Reviews)	6.5 Hours
2.	Understanding and Applying Logistic Regression	Pluralsight	★★★★☆4.0 (34 Reviews)	2.5 Hours
3.	Logistic Regression in Python	Udemy	★★★★★4.5 (799 Reviews)	7.5 Hours
4.	Logistic Regression with NumPy and Python	Coursera	★★★★★4.5 (387 Reviews)	1.5 Hours
5.	Logistic Regression, LDA &KNN in Python	tutorialspoint	—	06 Hours
6.	Linear Regression and Logistic Regression in Python	Udemy	★★★★★4.5 (329 Reviews)	7.5 Hours
7.	Logistic Regression 101: US Household Income Classification	Coursera	—	02 Hours
8.	Intermediate Regression in R	datacamp	—	04 Hours
9.	Machine Learning with Logistic Regression in Excel, R, and Power BI	LinkedIn Learning	★★★★★4.6 (55 Reviews)	03 Hours
10.	Logistic Regression in R for Public Health	Coursera	★★★★★4.8 (320 Reviews)	12 Hours
11.	Predictive Modeling with Logistic Regression using SAS	Coursera	★★★★★4.6 (35 Reviews)	17 Hours

In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Best + Free Logistic Regression Courses with Certificates

Deep Learning Prerequisites: Logistic Regression in Python

- - Lazy Programmer Inc. via Udemy
  - 27,376+ already enrolled!
  - ★★★★★ (3,723 Ratings)

Deep Learning Prerequisites - Logistic Regression in Python

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆

In this course, you will be learning all about logistic regression from start to end in Python. The instructor will explain how logistic regression is useful in data science.

This has been a great and engaging course in the way everything is presented and explained. To be able to learn from this course, you don’t even need to be a math or cording guru. Instead anyone can learn from this course. The best part is if you skip a point or two you can always repeat the lecture. (Harsh B, ★★★★★)

Understanding and Applying Logistic Regression

- - Vitthal Srinivasan via Pluralsight
  - ★★★★☆ (34 Ratings)
  - 2.5 Hours of effort required!

Understanding and Applying Logistic Regression

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Good ★★★★☆	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

This class is all about explaining how to apply logistic regressions and discover the applications of logistic regression. You will be taught how logistic regression is linked to linear regression and machine learning.

The reason why we chose this class is its focus on exploring the s-curve and its standard mathematical form. You will understand whether Google’s stock returns will go up or down using Python, Excel, and R.
This class is for those who wish to gain strong applied knowledge of logistic regression for solving complex business problems.

Related: Best + Free Python Machine Learning Courses

Logistic Regression in Python

- - Start-Tech Academy via Udemy
  - 97,554+ already enrolled!
  - ★★★★★ (799 Ratings)

Logistic Regression in Python

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Fair ★★★☆☆	Fair ★★★☆☆

Are you interested in learning to understand how to interpret the result of the Logistic Regression model in Python and then translate them into actionable insight? If yes, then this course is what you need.

The best thing about this course is its focus on explaining how to predict future outcome basis past data by implementing a Machine Learning algorithm.
This course is for those who wish to gain in-depth knowledge of data collection and data processing for Machine Learning logistic regression problems.

Related: Best Applied Machine Learning Courses

I can say this is a great course to help you get up and running with the code. The course gives you an intuitive introduction to the theory before diving into the code. The instructor managed to teach more than one tool to predict a binary output. I really liked the way everything was delivered. (Rodolfo Rivas, ★★★★★)

Logistic Regression with NumPy and Python

- - Coursera Project Network via Coursera
  - 11,743+ already enrolled!
  - ★★★★★ (387 Ratings)

Logistic Regression with NumPy and Python

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Fair ★★★☆☆	Fair ★★★☆☆

This guided project is all about explaining how to implement the gradient descent algorithm from scratch. You will get to perform logistic regression with NumPy and Python in detail.

The best thing about this course is its focus on explaining how to create data visualizations with Matplotlib and Seaborn. You will understand all about the Logistic Sigmoid Function in detail.
This course is for those who wish to learn to compute the cost function and gradient at initialization and so much more in detail.

Related: Best + Free NumPy Courses & Training Classes

A very helpful course for learning all about logistic regression without using libraries. One thing I do like to mention here is that a very clear understanding of logistic regression before taking this guided project is required, only then you can make the most out of this course. (Arnab S, ★★★★★)

Logistic Regression, LDA &KNN in Python

- - via tutorialspoint
  - 06 hours of effort required!
  - Study Type: Self-paced

Do you want to know how to identify the business problem that can be solved by using classification modeling techniques for Machine Learning? This course will teach you this and so much more in detail.

The reason why we chose this course is its focus on explaining how to create different classification modeling models in Python and then compare their performance.
This course is for all business managers, executives, or students out there who wish to learn and apply machine learning to real-world problems.

continue with more Logistic Regression Courses…

Linear Regression and Logistic Regression in Python

- - Start-Tech Academy via Udemy
  - 54,176+ already enrolled!
  - ★★★★★ (329 Ratings)

Linear Regression and Logistic Regression in Python

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Fair ★★★☆☆	Fair ★★★☆☆

In this course, you will be taught how to solve real-life problems using Linear and Logistic Regression techniques. Here you will learn to do a preliminary analysis of data using Univariate and Bivariate analysis before running a regression analysis.

The best thing about this course is its focus on explaining how to interpret the result of the Linear and Logistic Regression model and then translate them into actionable insight.
This course is for those who wish to gain in-depth knowledge of data collection and data preprocessing for Linear and Logistic Regression problems.

So far so good, the instructor has explained every topic in great detail. I can say this is one of the best logistic regression courses I ever got to enroll in. Udemy is a great platform and I am looking forward to enroll in more logistic regression courses like this. (Rakesh B, ★★★★★)

Logistic Regression 101: US Household Income Classification

- - Coursera Project Network via Coursera
  - 02 Hours of effort required!
  - Study Level: Beginner

This class will help you understand the theory and intuition behind Logistic Regression and XG Boost models.

The reason why we chose this class is its focus on explaining how to build and train Logistic Regression XGBoost models for classifying the Income Bracket of US Households.
This course is for those who wish to assess the performance of the trained model and ensure its generalization using various KPIs like accuracy, precision, and recall.

Intermediate Regression in R

- - via datacamp
  - 12,490+ already enrolled!
  - 04 Hours of effort required!

This “Intermediate Regression in R” class will help you explore the relationships between variables in real-world datasets through a hands-on exercise.

The best thing about this class is its focus on explaining how to include multiple explanatory variables in a model.
This class is for those who wish to understand how interactions between variables affect predictions and how linear and logistic regression work.

Machine Learning with Logistic Regression in Excel, R, and Power BI

- - Helen Wall via LinkedIn Learning
  - 7,071+ already enrolled!
  - ★★★★★ (55 Ratings)

Machine Learning with Logistic Regression in Excel, R, and Power BI

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

In this course, the instructor talks about how to use Excel, R, and Power BI for logistic regression for modeling data and predicting the classification labels in detail.

The reason why we chose this class is its focus on explaining how to use Excel to tangibly calculate the regression model.
This class is for those who wish to understand how to use Power BI to integrate the capabilities of Excel calculations and R in a scalable model.

I can recommend this class to all those interested in business analytics and machine learning. (Veena Nair, ★★★★★)

Logistic Regression in R for Public Health

- - Imperial College London via Coursera
  - 10,043+ already enrolled!
  - ★★★★★ (320 Ratings)

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

This course explains a data set from scratch and that too using descriptive statistics.

The reason why we chose this course is its focus on explaining how to interpret the output for your analysis.
This course is for those who wish to evaluate the model assumptions for multiple logistic regression in R.

The instructor of this course was very clear and succinct at explaining everything. The entire course gave me a good grasp on doing logistic regression with R. (Wei Q, ★★★★★)

Predictive Modeling with Logistic Regression using SAS

- - SAS via Coursera
  - 3,430+ already enrolled!
  - ★★★★★ (35 Ratings)

Predictive Modeling with Logistic Regression using SAS

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Fair ★★★☆☆	Fair ★★★☆☆

This predictive modeling course is all about discussing how to use logistic regression to model an individual’s behavior as a function of known inputs.

The best thing about this course is its focus on using SAS/STAT software with emphasis on the Logistic procedure.
This course is for those who wish to learn to assess model performance and compare models in detail.

I found this course to be extremely helpful as most of the commonly occurring problems in real-life situations have been discussed here. The content is heavy and might seem difficult but it was all worth the effort. (Vipul P, ★★★★★)

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11 Best + Free Logistic Regression Courses with Certificates