Python for Finance Course

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2 Hours

$24.99$100.00

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59 Lessons (2h)

Your First Program
Preview

Section 01: Introduction
Course Overview4:22
Why Python for Finance?8:01
Why Spyder for Python?4:16
Environment Setup
Feedback 01 | Python for Finance
Section 02: Python Basics
Python Introduction2:38
Data Types8:54
Functions4:15
Conditions Loops6:57
Python Assignment
Feedback 02 | Python for Finance
Section 03: Numpy
What is Numpy?2:38
How To Install Python Libraries?3:23
Arrays4:26
Indexing and Operations6:40
Numpy Assignment
Feedback 03 | Python for Finance
Section 04: Pandas Data Handling
What is Pandas?4:50
Series3:38
Dataframe5:13
Moving Average5:14
Pandas Assignment
Feedback 04 | Python for Finance
Section 05: Matplotlib Visual Analysis
What is Matplotlib?3:09
Types of Plots3:30
Creating Plots for Python - Part 15:37
Creating Plots for Python - Part 26:54
Matplotlib Assignment
Seaborn3:04
Feedback 05 | Python for Finance
Section 06: Scikit-learn Prediction
What is Scikit-learn?2:26
Types of Models3:27
Prediction Models3:07
What is Regression in Finance?2:22
Linear Regression2:33
Prediction - Data Preprocessing4:47
Prediction - Regression4:56
Scikit-learn Assignment
Feedback 06 | Python for Finance
Section 07: S&P-500 Price Prediction
Overview2:55
S&P 500 Stock Price Prediction
Data Processing2:01
Prediction Part 13:45
Prediction Part 22:40
Project Solution
Feedback 07 | Python for Finance
Section 08: Risk Analysis of Credit Card Defaulter
Introduction3:16
Risk Analysis of Credit Card Defaulter
Data Processing3:36
Prediction5:24
Credit Card Defaulter Project Solution
Feedback 08 | Python for Finance
Section 09: Bonus Resources
Applications in Industry4:03
Guide to Resources2:27
Tutorial Links
Dataset Links
Feedback 09 | Python for Finance
Section 10: Conclusion
Conclusion2:06
Feedback 10 | Python for Finance

Perform Financial Tasks Using Python with 2 Hours of Content on Python Basics, Numpy, Pandas, & More

Yoda Learning

4.3/5 Instructor Rating: ★ ★ ★ ★ ★ ★

Yoda Learning is a team of 12+ industry professionals focused on developing project-based learning solutions, which allows students to accrue real-world experience and learn in an engaging and practical manner. Its courses encompass everything from web and mobile app development to data analytics and design.

Description

As the demand for data is growing, a lot of domains are centering their operations around data. The finance industry is the most influenced by data, giving rise to a whole new FinTech industry where technology meets Finance. This course aims to keep you at the top of this emerging trend by teaching you how to use Python programming to perform your financial tasks. At the end of this Python to Finance Course, you will be able to implement your machine learning models to make predictions on financial data.

This course will guide you through everything you need to know about Python for Finance. It will start the journey with the fundamentals of Python. You will then proceed to learn about the core libraries used in the Py-Finance domain, including Numpy, Pandas, Matplotlib, and much more!

Access 59 lectures & 2 hours of content 24/7
Use Python programming to perform your financial tasks
Understand the fundamentals of Python
Learn about the core libraries used in the Py-Finance domain
Implement your machine learning models to make predictions on financial data

Specs

Important Details

Length of time users can access this course: lifetime
Access options: desktop & mobile
Certificate of completion included
Redemption deadline: redeem your code within 30 days of purchase
Updates included
Experience level required: intermediate
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Requirements

Any device with basic specifications

Terms

Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.

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