10 Best Quantitative Finance Udemy Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are thousands of online Udemy Courses and classes that will help you enhance your Quantitative Finance abilities and earn your Quantitative Finance certificate.

In this short article, our experts have put together a curated list of the 10 Best of the Best Quantitative Finance Udemy Courses, tutorials, training programs, classes and certifications that are available online right now.

We have actually included only those Udemy Courses that satisfy our high-quality standards. We have put a great deal of effort and time into collecting these all for you. These Udemy Courses are suitable for all levels, beginners, intermediate students, and experts.

Here’s a look at these Udemy Courses and what they have to offer for you!

10 Best Quantitative Finance Udemy Courses and Certifications Online

1. Algorithmic Trading & Quantitative Analysis Using Python by Mayank Rasu Udemy Course Our Best Pick

Build fully automated trading system and Implement quantitative trading strategies using Python

As of right now, more than 25151+ people have enrolled in this course and there are over 3108+ reviews.

Course Content
Introduction
Getting Data
Web Scraping to Extract Financial Data
Basic Data Handling and Operations
Technical Indicators
Performance Measurement – KPIs
Backtest Your Strategies
Value Investing
Building Automated Trading System on a Shoestring Budget
Bonus Section: Running Your Algorithms in Cloud
Bonus Section: Sentiment Analysis
Archived Lectures

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2. Level I CFA® Prep Course 2022/2023 – Quantitative Methods by “PrepNuggets | by Keith Tan, CFA” Udemy Course

Deep dive into Quant with the Bestselling CFA® prep course provider | With visual learning + Quizzes

As of right now, more than 19082+ people have enrolled in this course and there are over 3222+ reviews.

Course Content
“Introduction
Time Value of Money
Discounted Cash Flow (2019)
Organising, Visualising, and Describing Data
Probability Concepts
Common Probability Distributions
Sampling and Estimation
Hypothesis Testing
Introduction to Linear Regression
BONUS: Further resources for your exam prep”

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3. Financial Derivatives: A Quantitative Finance View by Cameron Connell Udemy Course

“The financial engineering of forwards, futures, swaps, and options, with Python tools for fixed income and options”

As of right now, more than 12606+ people have enrolled in this course and there are over 1753+ reviews.

Course Content
“Introduction
Fundamentals
Arbitrage
Forwards, Futures, and Swaps
Stochastic Processes and Asset Prices
Options”

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4. Quantitative Finance & Algorithmic Trading in Python by Holczer Balazs Udemy Course

“Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations”

As of right now, more than 10768+ people have enrolled in this course and there are over 1201+ reviews.

Course Content
Introduction
Environment Setup
Stock Market Basics
Bonds Theory
Bonds Implementation
Modern Portfolio Theory (Markowitz-Model)
Markowitz-Model Implementation
Capital Asset Pricing Model (CAPM) Theory
Capital Asset Pricing Model (CAPM) Implementation
Derivatives Basics
Random Behavior in Finance
Black-Scholes Model
Black-Scholes Model Implementation
Value at Risk (VaR)
Collateralized Debt Obligations (CDOs) and the Financial Crisis
Interest Rate Modeling (Vasicek Model)
Pricing Bonds with Vasicek Model
Long-Term Investing
NEXT STEPS
APPENDIX – PYTHON PROGRAMMING CRASH COURSE
Appendix #1 – Python Basics
Appendix #2 – Functions
Appendix #3 – Data Structures in Python
Appendix #4 – Object Oriented Programming (OOP)
Appendix #5 – NumPy
Course Materials (DOWNLOADS)

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5. Statistics and probability for Quantitative finance by Lucas Inglese Udemy Course

“Learning by doing! Apply statistics on Trading and quantitative finance. (Forex, crypto, stocks )”

As of right now, more than 8295+ people have enrolled in this course and there are over 49+ reviews.

Course Content
“Introduction
Descriptive statistics
Exercise: Compute risk/return, correlation asset PROPERLY
Combinatorial statistics
Exercise: Find the number of combinations between forex pairs
Probability
Exercise: From 50% to 70% of good trade?
Law of probability
Exercise: Find the best stop loss & take profit / Compute the VaR
Hypothesis test
Exercise: You trading strategy really works or it’s randomness? / Bonus
How to go deeper in the algorithmic trading field?
BONUS 1: Python basics
BONUS 2: Python for data science”

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6. Algorithmic Trading & Time Series Analysis in Python and R by Holczer Balazs Udemy Course

“Technical Analysis (SMA and RSI), Time Series Analysis (ARIMA and GRACH), Machine Learning and Mean-Reversion Strategies”

As of right now, more than 4222+ people have enrolled in this course and there are over 324+ reviews.

Course Content
Introduction
Environment Setup
Stock Market Basics
### USING TECHNICAL INDICATORS ###
Moving Average Indicator
Moving Average Crossover Strategy
Relative Strength Indicator (RSI)
Relative Strength Indicator (RSI) Strategy
Backtrader Framework
Momentum & SMA Combined Trading Strategy
Momentum & SMA Combined Trading Strategy Implementation
### TIME SERIES ANALYSIS ###
Time Series Analysis Fundamentals
Random Walk Model
Autoregressive Model (AR)
Moving Average Model (MA)
Autoregressive Moving Average Model (ARMA)
Autoregressive Integrated Moving Average Model (ARIMA)
Autoregressive Conditional Heteroskedastic Model (ARCH)
Generalized Autoregressive Heteroskedastic Model (GARCH)
FOREX Trading Strategy Implementation
Stock Market Trading Strategy Implementation
### MARKET NEUTRAL TRADING STRATEGIES ###
Mean Reversion
Bollinger Bands
Bollinger Bands Trading Strategy Implementation
Cross-Sectional Mean Reversion
Cross-Sectional Mean Reversion Trading Strategy Implementation
### MACHINE LEARNING TRADING ALGORITHMS ###
Logistic Regression
Logistic Regression Trading Strategy Implementation
Support Vector Machines (SVMs)
Support Vector Classifier Trading Strategy Implementation
Machine Learning Algorithms and Indicators
### PYTHON PROGRAMMING CRASH COURSE ###
Appendix #1 – Python Basics
Appendix #2 – Functions
Appendix #3 – Data Structures in Python
Appendix #4 – Object Oriented Programming (OOP)
Appendix #5 – NumPy
### R PROGRAMMING CRASH COURSE ###
Appendix #6 – R Fundamentals
Course Materials (DOWNLOADS)

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7. Fixed Income Analytics: Pricing and Risk Management by Cameron Connell Udemy Course

With Python Tools for Bonds and Money Market Instruments

As of right now, more than 1456+ people have enrolled in this course and there are over 158+ reviews.

Course Content
Introduction
Interest Rates and Bonds
The Time Value of Money
Term Structure
Interest Rate Risk

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8. All Weather Investing Via Quantitative Modeling In Excel by AllQuant . Udemy Course

Master The Principles of A Resilient Investing Strategy using Stocks & Bonds ETF called Risk Parity Used In Hedge Funds

As of right now, more than 749+ people have enrolled in this course and there are over 120+ reviews.

Course Content
Introduction
Concept of All-Weather Investing
Excel Crash Course
Financial Mathematics
Building The All-Weather Risk Parity Model
Risk Parity Operations
Bonus : VBA Scripts

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9. Quantitative Finance with R by Packt Publishing Udemy Course

“Learn portfolio optimization, asset pricing, and risk management with R”

As of right now, more than 663+ people have enrolled in this course and there are over 136+ reviews.

Course Content
First Things First!
Data Analysis with R
Staying Secured with Fixed-Income Securities
Derivatives for Risk Management
Analysing Risk/Return with Modern Portfolio Theory Techniques
The Capital Asset Pricing Model – CAPM Model
Manage Risks and Safeguard Profits with Portfolio Risk Management

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10. Backtesting Strategies: Test Trading Strategies Using Python by Robert Grzesik Udemy Course

Find out if your trading strategy will work in real life by testing how it would have worked in the past

As of right now, more than 433+ people have enrolled in this course and there are over 33+ reviews.

Course Content
Introduction
Performance Metrics
Backtesting

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How Long Does It Take to Learn Quantitative Finance?

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