In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks.
Introduction to Trading, Machine Learning & GCP
Introduction to Trading, Machine Learning & GCP
This course is part of Machine Learning for Trading Specialization
Instructor: Jack Farmer
Access provided by Tahakom Group
69,412 already enrolled
Gain insight into a topic and learn the fundamentals.
899 reviews
Intermediate level
Recommended experience
Flexible schedule
5 hours to complete
Learn at your own pace
85%
Most learners liked this course
What you'll learn
Understand the fundamentals of trading, including the concepts of trend, returns, stop-loss, and volatility.
Define quantitative trading and the main types of quantitative trading strategies.
Understand the basic steps in exchange arbitrage, statistical arbitrage, and index arbitrage.
Understand the application of machine learning to financial use cases.
Skills you'll gain
- Financial Trading
- Applied Machine Learning
- Securities Trading
- Model Evaluation
- Artificial Neural Networks
- Model Optimization
- Artificial Intelligence and Machine Learning (AI/ML)
- Google Cloud Platform
- Model Training
- Cloud Platforms
- Machine Learning Algorithms
- Time Series Analysis and Forecasting
- Machine Learning Software
- Finance
- Supervised Learning
- Machine Learning
- Deep Learning
- Technical Analysis
- Statistical Machine Learning
- Machine Learning Methods
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
8 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Machine Learning for Trading Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
(194 ratings)
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
44.27%
- 4 stars
28.58%
- 3 stars
13.90%
- 2 stars
4.67%
- 1 star
8.56%
Showing 3 of 899
MF
Reviewed on Jan 20, 2020
A good intro to machine learning in finance. I does not goes very deep, but hat some useful exercises and practice with google cloud.
AJ
Reviewed on May 1, 2020
This is a very good course because it tuned my already forecasting knowledge to look more into machine learning
LU
Reviewed on Jul 10, 2024
Not as prominent or important as the Finance specialization but important factor more so in the lifestyle factor of classification and could be useful to other fortune 500 companies.
Explore more from Data Science
New York Institute of Finance
Google Cloud
New York University
New York Institute of Finance