Data Analysis with Pandas and Python [2026] — 94% Off Coupon

Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!

⭐ 4.7 out of 5(228,323 students enrolled)Created by Boris PaskhaverLast updated: 🌐 English

Data Analysis Course Coupon — 94% Off (Verified)

Quick Summary

This Data Analysis course coupon covers Data Analysis with Pandas and Python [2026] by Boris Paskhaver on Udemy: it reduces the regular $159.99 price to $9.99 — a saving of $150.00 (94% off). You get 37h of on-demand video, lifetime access, and a certificate of completion, and the course is rated 4.7 out of 5 by 228,323 students. It is beginner-friendly — basic/intermediate experience with a spreadsheet software like Microsoft Excel/Google Sheets (common functions, vlookups, countif, pivot tables etc). Press REDEEM COUPON to apply the discount automatically — the code expired on August 27, 2026, so confirm it at checkout.

Built from verified Udemy course data · Last checked Check coupon

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: Data Analysis with Pandas and Python [2026]
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Boris Paskhaver
•Coupon Verified On: August 20, 2026
•Difficulty Level: Beginner
•Category: Development
•Subcategory: Data Analysis
•Duration: 37h 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: Perform a multitude of data operations in Python's popular pandas library including grouping, pivoting, joining and more! · Learn hundreds of methods and attributes across numerous pandas objects · Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
•Prerequisites: Basic/intermediate experience with a spreadsheet software like Microsoft Excel/Google Sheets (common functions, vlookups, countif, pivot tables etc) · Basic experience with the Python programming language (we'll cover the basics if you're brand new!)
•Price: $9.99 with coupon / Regular Udemy price: $159.99. Applying this coupon saves you $150.00 (94% 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:

✓Perform a multitude of data operations in Python's popular pandas library including grouping, pivoting, joining and more! .
✓Learn hundreds of methods and attributes across numerous pandas objects .
✓Possess a strong understanding of manipulating 1D, 2D, and 3D data sets .
✓Resolve common issues in broken or incomplete data sets.

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:

•Basic/intermediate experience with a spreadsheet software like Microsoft Excel/Google Sheets (common functions, vlookups, countif, pivot tables etc)
•Basic experience with the Python programming language (we'll cover the basics if you're brand new!)
•Strong knowledge of data types (strings, integers, floating points, booleans) etc

About This Udemy Course

The following is the full official course description as published on Udemy by instructor Boris Paskhaver. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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Data Analysis Course Comparison Side by Side

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Is the Data Analysis with Pandas and Python [2026] Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Aug 20, 2026

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 Data Analysis with Pandas and Python [2026] on Udemy is $159.99. The coupon code listed on this page drops that to $9.99 — a saving of $150.00, or 94% off the standard rate. Spread across 37h of on-demand video, that works out to roughly $0.27 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. Boris Paskhaver walks you through perform a multitude of data operations in Python's popular pandas library including grouping, pivoting, joining and more!, learn hundreds of methods and attributes across numerous pandas objects, and possess a strong understanding of manipulating 1D, 2D, and 3D data sets — concrete skills you can apply, not abstract theory. It has already been taken by 228,323 students and holds a 4.7-star average from verified reviews, which is a reasonable sign the content holds up in practice.

The bar to entry is low: Basic/intermediate experience with a spreadsheet software like Microsoft Excel/Google Sheets (common functions, vlookups, countif, pivot tables etc); Basic experience with the Python programming language (we'll cover the basics if you're brand new!). That makes it a realistic choice even if Development is unfamiliar territory. In practical terms, expect around 37h of on-demand video to work through at your own pace. The material is presented in English.

Pros

  • ✓Verified 94% price reduction.
  • ✓High learner satisfaction (4.7/5).
  • ✓Trusted by 228,323 students.
  • ✓Certificate + lifetime access.

Cons

  • !The coupon is time-limited — once it expires, the price tends to revert toward the standard $159.99.
  • !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 37h of video.
Josh Smith
Josh Smith
Lead Course Reviewer
Credentials →

"At roughly $0.27 an hour of video, Data Analysis with Pandas and Python [2026] is priced sensibly for what it actually covers — perform a multitude of data operations in Python's popular pandas library including grouping, pivoting, joining and more! and beyond. If Development is on your roadmap and you value the 4.7-star track record, this coupon is worth using while it's still valid."

✓
Final Verdict: Worth It
Saves you $150.00 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 August 20, 2026.At $9.99 you save $150.00 compared to the standard $159.99 price, and Udemy coupons are time-limited — redeem as soon as possible.

Course Rating & Reviews

This Data Analysis course holds an aggregate rating of 4.7 out of 5 based on 228,323 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.7
228,323 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: August 20, 2026.

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Instructor Profile

Background information on Boris Paskhaver, the instructor responsible for this course on Udemy.

BP
Boris Paskhaver
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
228,323+ enrolled
Rating
4.7 / 5.0
Course Duration
37h
Teaching Approach
Practical, project-based instruction built around real-world application of Development skills, with hands-on exercises and quizzes to reinforce each section.

Data Analysis Course FAQs — Coupon, Price & Reviews

Answers to the most common questions about this Data Analysis course: whether the coupon is still valid, what it costs, how long the course runs, what you will learn, the prerequisites, the certificate, and how students rate it. All answers are built from verified Udemy data as of .

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.

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