11 Best + Free Logistic Regression Courses with Certificates

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.

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)

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.

• The best thing about this course is its focus on explaining how to derive the error and update the rule for logistic regression. You will understand how logistic regression works as an analogy for the biological neuron.
• This course is for those who wish to understand why regularization is used in machine learning and how to use logistic regression for solving real-world business problems.

Understanding and Applying Logistic Regression

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

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)

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

Logistic Regression with NumPy and Python

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

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

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)

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.

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)

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.

Logistic Regression in R for Public Health

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

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.

Predictive Modeling with Logistic Regression using SAS

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

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.