Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Python for Financial Analysis and Algorithmic Trading

Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!
4.5
4.5/5
(15,209 reviews)
102,087 students
Created by Jose Portilla

9.6

CourseMarks Score®

9.6

Freshness

8.9

Feedback

9.8

Content

Platform: Udemy
Price: $15.99
Video: 16h 38m
Language: English
Next start: On Demand

Top Finance Fundamentals courses:

Detailed Analysis

CourseMarks Score®

9.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.6 / 10
This course was last updated on 12/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.9 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.8 / 10
Video Score: 10.0 / 10
The course includes 16h 38m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 2 hours 47 minutes of 168 Finance Fundamentals courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

9 articles.
2 resources.
0 exercise.
0 test.

Table of contents

Description

Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!
This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We’ll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!
 We’ll cover the following topics used by financial professionals:
•Python Fundamentals•NumPy for High Speed Numerical Processing•Pandas for Efficient Data Analysis•Matplotlib for Data Visualization•Using pandas-datareader and Quandl for data ingestion•Pandas Time Series Analysis Techniques•Stock Returns Analysis•Cumulative Daily Returns•Volatility and Securities Risk•EWMA (Exponentially Weighted Moving Average)•Statsmodels•ETS (Error-Trend-Seasonality)•ARIMA (Auto-regressive Integrated Moving Averages)•Auto Correlation Plots and Partial Auto Correlation Plots•Sharpe Ratio•Portfolio Allocation Optimization •Efficient Frontier and Markowitz Optimization•Types of Funds•Order Books•Short Selling•Capital Asset Pricing Model•Stock Splits and Dividends•Efficient Market Hypothesis•Algorithmic Trading with Quantopian•Futures Trading

Requirements

• Some knowledge of programming (preferably Python)Ability to Download Anaconda (Python) to your computer
• Basic Statistics and Linear Algebra will be helpful

You will learn

✓ Use NumPy to quickly work with Numerical Data
✓ Use Pandas for Analyze and Visualize Data
✓ Use Matplotlib to create custom plots
✓ Learn how to use statsmodels for Time Series Analysis
✓ Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
✓ Use Exponentially Weighted Moving Averages
✓ Use ARIMA models on Time Series Data
✓ Calculate the Sharpe Ratio
✓ Optimize Portfolio Allocations
✓ Understand the Capital Asset Pricing Model
✓ Learn about the Efficient Market Hypothesis
✓ Conduct algorithmic Trading on Quantopian

This course is for

• Someone familiar with Python who wants to learn about Financial Analysis!

How much does the Python for Financial Analysis and Algorithmic Trading course cost? Is it worth it?

The course costs $15.99. And currently there is a 87% discount on the original price of the course, which was $119.99. So you save $104 if you enroll the course now.
The average price is $18.3 of 168 Finance Fundamentals courses. So this course is 13% cheaper than the average Finance Fundamentals course on Udemy.

Does the Python for Financial Analysis and Algorithmic Trading course have a money back guarantee or refund policy?

YES, Python for Financial Analysis and Algorithmic Trading has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Python for Financial Analysis and Algorithmic Trading course, but there is a $104 discount from the original price ($119.99). So the current price is just $15.99.

Who is the instructor? Is Jose Portilla a SCAM or a TRUSTED instructor?

Jose Portilla has created 24 courses that got 728,598 reviews which are generally positive. Jose Portilla has taught 3 students and received a 4.6 average review out of 728,598 reviews. Depending on the information available, Jose Portilla is a TRUSTED instructor.

More info about the instructor, Jose Portilla

Head of Data Science, Pierian Data Inc.
  Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

9.6

CourseMarks Score®

9.6

Freshness

8.9

Feedback

9.8

Content

Platform: Udemy
Price: $15.99
Video: 16h 38m
Language: English
Next start: On Demand

Students are also interested in

Other courses by ​Jose Portilla

Get this widget on your website (for course creators):

Python for Financial Analysis and Algorithmic Trading rating
Copy this code and paste it to your website:
<a href="https://coursemarks.com/course/python-for-financial-analysis-and-algorithmic-trading/" target="_blank" title="Python for Financial Analysis and Algorithmic Trading on Coursemarks.com"><img border="0" src="https://coursemarks.com/widget/97.svg" width="200px" alt="Python for Financial Analysis and Algorithmic Trading rating"/></a>