Classbaze

Home » Courses » Development » Programming Languages » Finance Fundamentals » Python for Financial Analysis and Algorithmic Trading

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

Python for Financial Analysis and Algorithmic Trading

Name: Python for Financial Analysis and Algorithmic Trading
Rating: 9.2 (16603 reviews)

Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!

4.5

☆☆☆☆☆ 4.5/5

(16,603 reviews)

111,825 students

Created by

9.2

Classbaze Grade®

8.3

Freshness

8.9

Popularity

9.8

Material

Detailed Analysis »

Platform: Udemy

Price: check current price

Video: 16h 38m

Language: English

Next start: On Demand

Best Finance Fundamentals classes:

Classbaze Rating

Classbaze Grade®

9.2 / 10

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

Freshness

8.3 / 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Course content can become outdated quite quickly.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.

Popularity

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.

Material

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 58 minutes of 198 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.

In this page

About this course

The course will teach you this

What you need to START the course

Who can start this course?

General questions

Coupons & Discounts

Guarantees & money back

Financial aid

Teacher

Classbaze hand picked recommendations

About the course

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

What can you learn from this course?

✓ 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

What you need to start the course?

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

Who is this course is made for?

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

Are there coupons or discounts for Python for Financial Analysis and Algorithmic Trading ? What is the current price?

The course costs $18.99. And currently there is a 83% discount on the original price of the course, which was $109.99. So you save $91 if you enroll the course now.

The average price is $19.1 of 198 Finance Fundamentals courses. So this course is 1% cheaper than the average Finance Fundamentals course on Udemy.

Will I be refunded if I'm not satisfied with the Python for Financial Analysis and Algorithmic Trading course?

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 financial aid for this course?

Currently we could not find a scholarship for the Python for Financial Analysis and Algorithmic Trading course, but there is a $91 discount from the original price ($109.99). So the current price is just $18.99.

Who will teach this course? Can I trust Jose Portilla?

Jose Portilla has created 50 courses that got 905,198 reviews which are generally positive. Jose Portilla has taught 2,879,309 students and received a 4.6 average review out of 905,198 reviews. Depending on the information available, we think that Jose Portilla is an instructor that you can trust.

Learn everything about

Jose Portilla

Head of Data Science at Pierian Training

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, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. 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, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training 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 check out the website link to find out more information about training offerings.

Browse all courses by Jose Portilla on Classbaze.

Jose Portilla's full profile and courses »