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## Financial Engineering and Artificial Intelligence in Python

In partnership With
Udemy
4.8
(859)

Topic:

Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!

What you'll learn:

• Forecasting stock prices and stock returns

• Time series analysis

• Holt-Winters exponential smoothing model

• ARIMA

• Efficient Market Hypothesis

• Random Walk Hypothesis

• Exploratory data analysis

• Alpha and Beta

• Distributions and correlations of stock returns

• Modern portfolio theory

• Mean-Variance Optimization

• Efficient frontier, Sharpe ratio, Tangency portfolio

• CAPM (Capital Asset Pricing Model)

• Q-Learning for Algorithmic Trading

Requirements:

• Decent Python coding skills

• Numpy, Matplotlib, Pandas, and Scipy (I teach this for free! My gift to the community)

• Matrix arithmetic

• Probability

Description:

Have you ever thought about what would happen if you combined the power of machine learning and artificial intelligence with financial engineering?

Today, you can stop imagining, and start doing.

This course will teach you the core fundamentals of financial engineering, with a machine learning twist.

We will cover must-know topics in financial engineering, such as:

• Exploratory data analysis, significance testing, correlations, alpha and beta

• Time series analysis, simple moving average, exponentially-weighted moving average

• Holt-Winters exponential smoothing model

• ARIMA and SARIMA

• Efficient Market Hypothesis

• Random Walk Hypothesis

• Time series forecasting ("stock price prediction")

• Modern portfolio theory

• Efficient frontier / Markowitz bullet

• Mean-variance optimization

• Maximizing the Sharpe ratio

• Convex optimization with Linear Programming and Quadratic Programming

• Capital Asset Pricing Model (CAPM)

• Algorithmic trading (VIP only)

• Statistical Factor Models (VIP only)

• Regime Detection with Hidden Markov Models (VIP only)

In addition, we will look at various non-traditional techniques which stem purely from the field of machine learning and artificial intelligence, such as:

• Regression models

• Classification models

• Unsupervised learning

• Reinforcement learning and Q-learning

***VIP-only sections (get it while it lasts!) ***

• Algorithmic trading (trend-following, machine learning, and Q-learning-based strategies)

• Statistical factor models

• Regime detection and modeling volatility clustering with HMMs

We will learn about the greatest flub made in the past decade by marketers posing as "machine learning experts" who promise to teach unsuspecting students how to "predict stock prices with LSTMs". You will learn exactly why their methodology is fundamentally flawed and why their results are complete nonsense. It is a lesson in how not to apply AI in finance.

As the author of ~30 courses in machine learning, deep learning, data science, and artificial intelligence, I couldn't help but wander into the vast and complex world of financial engineering.

This course is for anyone who loves finance or artificial intelligence, and especially if you love both!

Whether you are a student, a professional, or someone who wants to advance their career - this course is for you.

Thanks for reading, I will see you in class!

Suggested Prerequisites:

• Matrix arithmetic

• Probability

• Decent Python coding skills

• Numpy, Matplotlib, Scipy, and Pandas (I teach this for free, no excuses!)

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

• Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)

Who this course is for:

• Anyone who loves or wants to learn about financial engineering

• Students and professionals who want to advance their career in finance or artificial intelligence and machine learning

Course
Intermediate
Careers

Certifications

## Certifications related to Financial Analysis or Financial Forecasting or Python or Python Data Science

General Assembly’s Data Analytics Immersive is designed for you to harness Excel, SQL, and Tableau to tell compelling stories with a data driven strategy. This program was created for analysts, digital marketers, sales managers, product managers, and data novices looking to learn the essentials of data analysis.

What you'll accomplish

You will learn to use industry tools, Excel, and SQL to analyze large real world data sets and create data dashboards and visualizations to share your findings. The Data Analytics Accelerator culminates in a.

Throughout this expert-designed program, you’ll:

• Use Excel, SQL, and Tableau to collect, clean, and analyze large data sets.
• Present data-driven insights to key stakeholders using data visualization and dashboards.
• Tell compelling stories with your data.
• Graduate with a professional portfolio of projects that includes a capstone project applying rigorous data analysis techniques to solve a real-world problem

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

Your next step? Submit an application to talk to the General Assembly Admissions team

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

General Assembly

General Assembly’s Data Science Immersive is a transformative course designed for you to get the necessary skills for a data scientist role in three months.

The Data Science bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

What you'll accomplish

As a graduate, you will be ready to succeed in a variety of data science and advanced analytics roles, creating predictive models that drive decision-making and strategy throughout organizations of all kinds. Throughout this expert-designed program, you’ll:

• Collect, extract, query, clean, and aggregate data for analysis.
• Gather, store and organize data using SQL and Git.
• Perform visual and statistical analysis on data using Python and its associated libraries and tools.
• Craft and share compelling narratives through data visualization.
• Build and implement appropriate machine learning models and algorithms to evaluate data science problems spanning finance, public policy, and more.
• Compile clear stakeholder reports to communicate the nuances of your analyses.
• Apply question, modeling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions.
• Prepare for the world of work, compiling a professional-grade portfolio of solo, group, and client projects.

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

Your next step? Submit an application to talk to the General Assembly Admissions team

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

General Assembly

General Assembly’s Data Analytics Immersive is a transformative course designed for you to get the necessary skills for a data analyst role in three months.

The Data Analytics bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

What you'll accomplish

As a graduate, you’ll have a portfolio of projects that show your knowledge of data analytics skills, as well as experience with visualization tools and frameworks that employers demand. Throughout this expert-designed program, you’ll:

• Acquire, analyze, and visualize data sets in real time.
• Master industry-standard tools like SQL, Excel, Tableau, PowerBI, and Python.
• Turn data into stories that can influence and inform important decisions.
• Ask the right questions and answer them with data-informed insights.
• Demonstrate what you’ve learned with a solid professional portfolio.

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

Your next step? Submit an application to talk to the General Assembly Admissions team

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembl

General Assembly
Courses

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