Machine Learning Technology for Finance Course
This course aims to provide learners with a deep understanding of the application of machine learning techniques in the financial industry. The course will cover essential concepts, algorithms, and tools used in machine learning for finance, enabling learners to develop and implement innovative financial models and solutions.
Key topics that will be covered in this course includes financial data preprocessing and feature engineering, supervised learning algorithms for finance, unsupervised learning algorithms for finance, reinforcement learning for algorithmic trading, natural language processing for finance, portfolio optimization and risk management, regulatory compliance and ethical considerations.
Course level
Graduate
Course duration
max. 8 weeks
Estimated time per week
10-15 hours
Course prerequisites
None
Cost
$ -
Course credits
3
Relevant jobs
Compliance analyst, Business analyst, Asset managers, CTO
Machine Learning Technology for Finance Course Overview
Discuss the importance of financial data preprocessing, feature engineering, and their impact on model performance
Apply appropriate machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning, to real-world financial problems
Assess the strengths and weaknesses of different machine learning algorithms in the context of financial applications
Analyze the potential risks and challenges associated with using machine learning in finance, including regulatory compliance and ethical considerations
Develop novel machine learning models for finance and optimize their performance
Machine Learning Technology for Finance Course Skills
How will I learn?
Learning Experience
Your course starts on the first of the month. The course consists of 6 modules, and is designed to take you eight weeks to complete. 狼友社区鈥檚 learning design team has purposefully created courses to equip you with competencies mapped to the skills employers are looking for. Each course has 5-7 learning outcomes based on the skills employers need. Everything you learn gives you measurable skills you will use to succeed in today鈥檚 world of work.
狼友社区 courses are not live or recorded lectures. Instead, they鈥檙e reading, videos, interactive elements, quizzes and relevant case studies. Programs include assessments, peer-to-peer discussions, and a final project to practice what you鈥檝e learned in a real-world context. Program content is available 24/7 during the course, and you have opportunities for collaboration and networking with learners during and after your program. Our global community of learners work at top companies such as Microsoft, Deloitte, and Google.
You'll have 24/7 access to success advisors to support you. Faculty also provide you world-class support. Book appointments with them, get individual feedback, and attend regular optional webinars.狼友社区 courses are rigorous and they encourage critical thinking - because we care about what you know how to do not what you know you have regular hands-on assessments reflecting the business world.
Course Outline
| Modules |
|---|
| 1: Introduction to Machine Learning and Finance |
| 2: Supervised Learning in Finance |
| 3: Unsupervised Learning in Finance |
| 4: Reinforcement Learning in Finance |
| 5: Performance Evaluation and Model Selection |
| 6: Ethics and Regulatory Implications |
| 7: Final Project |
How will I be graded?
View to learn about how this course is graded.
What will I get after completing the course?
You'll get real skills you can use at work, straight away.
Once you've taken one course, you can take more. Using stacked credentials, you鈥檙e able to take enough courses to make a certificate, and take enough certificates to build a degree.
If you apply for a 狼友社区 certificate or degree, you'll get credit for each course you take.
What support will I receive?
When you have a dedicated team on your side, you'll never be alone studying at 狼友社区. Hailing from many different countries and with online education expertise, our faculty provides you world-class support. Ask them questions during one-to-one office hours or live chat, email them any time, and get individual feedback on your assessments.
While you鈥檙e learning, you鈥檒l also have full access to the 狼友社区 online library, which includes access to millions of full-text articles, industry reports and key sources such as the Wall Street Journal, the Financial Times and The Economist.
LinkedIn Learning: unlimited access with 狼友社区
Support your 狼友社区 goals with access to LinkedIn Learning during your program, at no additional cost. Explore the learning hub of the globe鈥檚 biggest professional networking platform to:
- Power your career: choose from over 16,000 expert-led courses, from remote working to data science
- Show off your skills: earn a certificate when you complete a course
- See what鈥檚 trending: LinkedIn Learning adds 25 new courses each week
- Tailor your learning: choose relevant courses based on your experience, LinkedIn profile and goals
- Test what you鈥檝e learned: use LinkedIn Learning assessments
Questions? We鈥檙e here to help
Machine Learning Technology for Finance Course Testimonials
My weekly reflective journal is my 狼友社区 highlight. Thanks to faculty support, I continually apply principles to my enterprise 鈥 and I've been able to scale beyond considerable measure.
