Deep Learning Prerequisites: Logistic Regression in Python — 90% Off Coupon

Data science, machine learning, and artificial intelligence in Python for students and professionals

⭐ 4.8 out of 5(36,318 students enrolled)Created by Lazy Programmer Team, and Lazy Programmer Inc.Last updated: 🌐 English

Course Overview - Key Takeaways

The following summarizes all verified data points for this course, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

•Course Title: Deep Learning Prerequisites: Logistic Regression in Python
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Lazy Programmer Team, Lazy Programmer Inc.
•Coupon Verified On: November 4, 2025
•Difficulty Level: Advanced
•Category: Development
•Subcategory: Logistic Regression
•Duration: 7h of on-demand video
•Language: English
•Access: Lifetime access to all course lectures and updates
•Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
•Top Learning Outcomes: program logistic regression from scratch in Python · describe how logistic regression is useful in data science · derive the error and update rule for logistic regression
•Prerequisites: Derivatives, matrix arithmetic, probability · You should know some basic Python coding with the Numpy Stack
•Price: $10.99 with coupon / Regular Udemy price: $109.99. Applying this coupon saves you $99.00 (90% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

This course gives you the following verified skills and competencies in Development:

✓program logistic regression from scratch in Python.
✓describe how logistic regression is useful in data science.
✓derive the error and update rule for logistic regression.
✓understand how logistic regression works as an analogy for the biological neuron.
✓use logistic regression to solve real-world business problems like predicting user actions from e-commerce data and facial expression recognition.
✓understand why regularization is used in machine learning.
✓Understand important foundations for OpenAI ChatGPT, GPT-5, DALL-E, Midjourney, and Stable Diffusion.

Course Requirements & Prerequisites

The following background knowledge and tools are recommended before starting this course. Students without these prerequisites may still enroll but should expect a steeper learning curve:

•Derivatives, matrix arithmetic, probability
•You should know some basic Python coding with the Numpy Stack

About This Udemy Course

The following is the full official course description as published on Udemy by instructors Lazy Programmer Team, Lazy Programmer Inc.. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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Is the Deep Learning Prerequisites: Logistic Regression in Python Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Nov 4, 2025

The short answer is yes — provided the Development skills this course teaches actually line up with what you want to build. The regular price for Deep Learning Prerequisites: Logistic Regression in Python on Udemy is $109.99. The coupon code listed on this page drops that to $10.99 — a saving of $99.00, or 90% off the standard rate. Spread across 7h of on-demand video, that works out to roughly $1.57 per hour of content — less than the cost of a single chapter of most printed development textbooks.

A discount is only worth something if the material delivers, and the curriculum here is built around practical outcomes. Lazy Programmer Team and Lazy Programmer Inc. walk you through program logistic regression from scratch in Python, describe how logistic regression is useful in data science, and derive the error and update rule for logistic regression — concrete skills you can apply, not abstract theory. It has already been taken by 36,318 students and holds a 4.8-star average from verified reviews, which is a reasonable sign the content holds up in practice.

The bar to entry is low: Derivatives, matrix arithmetic, probability; You should know some basic Python coding with the Numpy Stack. That makes it a realistic choice even if Development is unfamiliar territory. In practical terms, expect around 7h of on-demand video to work through at your own pace. The material is presented in English.

Pros

  • ✓Verified 90% price reduction.
  • ✓High learner satisfaction (4.8/5).
  • ✓Trusted by 36,318 students.
  • ✓Certificate + lifetime access.

Cons

  • !The coupon is time-limited — once it expires, the price tends to revert toward the standard $109.99.
  • !Lifetime access is tied to Udemy staying online; the platform can change its policies.
  • !Budget for the exercises and quizzes too — they add real time on top of the 7h of video.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"At roughly $1.57 an hour of video, Deep Learning Prerequisites: Logistic Regression in Python is priced sensibly for what it actually covers — program logistic regression from scratch in Python and beyond. If Development is on your roadmap and you value the 4.8-star track record, this coupon is worth using while it's still valid."

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Final Verdict: Worth It
Saves you $99.00 against the standard Udemy price
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified November 4, 2025.At $10.99 you save $99.00 compared to the standard $109.99 price, and Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.8 out of 5 based on 36,318 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.8
36,318 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: November 4, 2025.

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Instructor Profiles

Background information on Lazy Programmer Team, Lazy Programmer Inc., the instructors responsible for this course on Udemy.

LP
Lazy Programmer Team
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
36,318+ enrolled
Rating
4.8 / 5.0
Course Duration
7h
Teaching Approach
Practical, project-based instruction built around real-world application of Development skills, with hands-on exercises and quizzes to reinforce each section.
LP
Lazy Programmer Inc.
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
36,318+ enrolled
Rating
4.8 / 5.0
Course Duration
7h
Teaching Approach
Practical, project-based instruction built around real-world application of Development skills, with hands-on exercises and quizzes to reinforce each section.

Frequently Asked Questions

The following questions and answers cover the most common queries about this course, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of November 4, 2025.

About the Author

Josh Smith
Josh Smith
Udemy Coupon Specialist

8+ years finding and verifying the best Udemy deals. Helped thousands of students save on premium courses through curated coupon codes and exclusive discounts.