Course duration: 1.5 hours/session - 9 weeks
Delivery: Online - through QuAcademy
Number of sessions: 9
Case studies + Labs using the QuSandbox
*Combo offer*
Add the 3-part "Just Enough Python for Data Science in Finance" course for just $150 ($349 value) that can be accessed on-demand
*If you would like an invoice for your payment for reimbursement or related questions on alternative payment methods, please contact info@qusandbox.com
The use of data science and machine learning in the investment industry is increasing. Financial firms are using artificial intelligence (AI) and machine learning to augment traditional investment decision making. In this course, we aim to bring clarity on how AI and machine learning are revolutionizing financial services. We will introduce key concepts and, through examples and case studies, will illustrate the role of machine learning, data science techniques, and AI in the investment industry. Rather than just showing how to write code or run experiments in Python, we will provide an intuitive understanding to machine learning with just enough mathematics and basic statistics.
You will learn:
- Role of Machine Learning and AI in Financial services
- When do we use Machine learning and AI techniques?
- What are the key machine learning methodologies?
- How do you choose an algorithm for a specific goal?
- Practical Case studies with fully functional code
Delivery:
- Session: 1.5 hours/session
- Duration: 9 weeks
- Case study + Labs using the QuSandbox
Who should attend?
- Fundamental and quantitative analysts, risk and investment professionals, portfolio managers new to data science and machine learning
- Financial professionals new to data-driven methodologies
- Machine learning enthusiasts interested in use cases in fintech and financial organizations
Prerequisites:
This course incorporates hands-on labs and case studies. Participants are expected to have fundamental knowledge of Python.
Pre-class reading will be sent to all registered participants.
Additional Python resources:
- A FREE tutorial on Python is available here
- Participants who want additional training in Python can add the "Just Enough Python for Data Science in Finance" course hosted by QuantUniversity for a substantial discount.
Class is On-Demand: Take at your own pace!
Details of the pre-req course available here: https://qupython.splashthat.com
Analytics for a cause initiative:
QuantUniversity sponsors scholarships ,valued at $30,000 to their educational offerings to students from eight countries and 12 chapters, participating in the PRMIA - Professional Risk Managers' International Association Risk Management Challenge. Additional details about our announcement here: https://www.linkedin.com/pulse/quantuniversity-announces-53-scholarships-valued-risk-sri/
Machine Learning and AI: An intuitive Introduction
- Machine Learning vs Statistics: How has the world changed?
- A tour of Machine Learning and AI methods
- Supervised Learning Vs Unsupervised Learning
- Deep Learning
- Reinforcement Learning
- Key drivers influencing the adoption of Machine Learning and AI
- Big Data, Hardware, Fintech, AI, Alternative Data
- Key applications
- Credit risk, Personalization, Predicting risk, Portfolio optimization and selection
- Key players
- Technology companies, Data vendors, Banks, Fintech startups
Frontier topics
- Key issues in adopting AI and Machine learning into investment workflows
- How will Machine Learning and AI change the investment industry
- Frontier topics
- Anomaly detection
- Reinforcement learning
- Quantum Computing
- Risk in Machine Learning and AI
- Model governance, Interpretability and Model Management
Course instructor:
Sri Krishnamurthy, CFA
Chief Data Scientist, QuantUniversity
Sri Krishnamurthy is the founder of www.quantuniversity.com, a data and Quantitative Analysis Company and the creator of the Analytics Certificate program and Fintech Certificate program. Sri has more than two decades of experience in analytics, quantitative analysis, statistical modeling and designing large-scale applications.
Prior to starting QuantUniversity, Sri has worked at Citigroup, Endeca, MathWorks and with more than 25 customers in the financial services and energy industries. He has trained more than 1000 students in quantitative methods, analytics and big data in the industry and at Babson College, Northeastern University and Hult International Business School.
Sri earned an MS in Computer Systems Engineering and another MS in Computer Science, both from Northeastern University and an MBA with a focus on Investments from Babson College.
QuantUniversity (www.quantuniversity.com) is a quantitative analytics and machine learning advisory based in Boston, Massachusetts. QuantUniversity runs various data science and machine learning workshops in Boston, New York, Chicago, San Francisco and online. The company offers an Analytics Certificate Program and the Fintech Certificate program along with multiple workshops in its Explore-Experience-Excel series. Contact us at info@qusandbox.com
The Professional Risk Managers International Association (PRMIA) is a professional organization focused on the "promotion of sound risk management standards and practices globally", and "the integration of practice and theory".It provides certification and credentialing for professional risk managers, as well as other educational programs and resources.
Past Attendees of QuantUniversity workshops include Assette, Baruch College, Bentley College, Bloomberg, BNY Mellon, Boston University, Datacamp, Fidelity, Ford, Goldman Sachs, IBM, J.P. Morgan Chase, MathWorks, Matrix IFS, MIT Lincoln Labs, Morgan Stanley, Nataxis Global, Northeastern University, NYU, Pan Agora, Philips Health, Stevens Institute, T.D. Securities and many more..
