Python for Finance: Investment Fundamentals & Data Analytics — 93% Off Coupon

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training

4.7 out of 5(143,137 students enrolled)Created by 365 CareersLast 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: Python for Finance: Investment Fundamentals & Data Analytics
Provider: Udemy (listed via CourseSpeak)
Instructor: 365 Careers
Coupon Verified On: April 23, 2026
Difficulty Level: Beginner
Category: Finance & Accounting
Subcategory: Python
Duration: 9h 30m 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: Learn how to code in Python · Take your career to the next level · Work with Python’s conditional statements, functions, sequences, and loops
Prerequisites: You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course · All software and data used in the course is free
Price: $11.99 with coupon / Regular Udemy price: $159.99. Applying this coupon saves you $148.00 (93% 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 Finance & Accounting:

Learn how to code in Python .
Take your career to the next level .
Work with Python’s conditional statements, functions, sequences, and loops .
Work with scientific packages, like NumPy .
Understand how to use the data analysis toolkit, Pandas .
Plot graphs with Matplotlib .
Use Python to solve real-world tasks .
Get a job as a data scientist with Python .
Acquire solid financial acumen .
Carry out in-depth investment analysis .
Build investment portfolios .
Calculate risk and return of individual securities .
Calculate risk and return of investment portfolios .
Apply best practices when working with financial data .
Use univariate and multivariate regression analysis .
Understand the Capital Asset Pricing Model .
Compare securities in terms of their Sharpe ratio .
Perform Monte Carlo simulations .
Learn how to price options by applying the Black Scholes formula .
Be comfortable applying for a developer job in a financial institution.

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:

You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course
All software and data used in the course is free

About This Udemy Course

The following is the full official course description as published on Udemy by instructor 365 Careers. It covers the curriculum structure, teaching methodology, and topic scope for this Finance & Accounting course:

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Course Comparison

Compare features side by side to find the best course for your needs.

FeatureCURRENT
ProviderUdemyUdemy
Price
$11.99$159.99-93%
$9.99$199.99-95%
Rating
4.7(143.1k)
4.7(19.3k)
Duration9h 30m24h
CouponMT2604...JULIO2...
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Is the Python for Finance: Investment Fundamentals & Data Analytics Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Apr 23, 2026

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, this is a high-value resource for learners seeking to build skills in Finance & Accounting. Taught by 365 Careers on Udemy, the 9h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $159.99 to $11.99, removing the primary financial barrier to enrollment.

Pros

  • Verified 93% price reduction.
  • High learner satisfaction (4.7/5).
  • Trusted by 143,137 students.
  • Certificate + lifetime access.

Cons

  • !May be challenging for absolute beginners.
  • !Lifetime access depends on Udemy.
  • !Projects & quizzes need extra time.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"Given the 93% price reduction and verified 4.7-star rating, Python for Finance: Investment Fundamentals & Data Analytics is a strong value in Finance & Accounting on Udemy. Enrollment recommended while the coupon is active."

Final Verdict: Worth It
Exceptional value with current pricing
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified April 23, 2026.Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.7 out of 5 based on 143,137 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.7
143,137 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: April 23, 2026.

Instructor Profile

Background information on 365 Careers, the instructor responsible for this course on Udemy.

3C
365 Careers
Udemy Instructor
Full Profile ↗
Subject Area
Finance & Accounting
Total Students
143,137+ enrolled
Rating
4.7 / 5.0
Course Duration
9h 30m
Teaching Approach
Practical, project-based instruction focused on real-world application of Finance & Accounting skills. This course provides structured progression from foundational concepts to advanced techniques.

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 April 23, 2026.

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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