This course offers a thorough introduction to Fintech by blending financial theory with practical programming in R. You will start by mastering the basics of money management, and learning how to analyze and optimize financial decisions. Next, you’ll dive into the intricacies of stock market timing, where you will develop and refine algorithms to forecast market movements, honing your ability to make data-driven decisions in real time.
Introduction to FinTech Using R
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Learn how to time the stock market using probability theory
Explore the qualitative nature and know the quantitative nature of stock market timing
Learn the intermediate and advanced asset pricing practices
Skills you'll gain
Details to know
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Recently updated!
September 2024
Assessments
2 assignments
Taught in English
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There are 3 modules in this course
In this module, we will introduce the foundational principles of money management. You'll learn the critical elements of creating a budget and recognize common mistakes to avoid in personal finance.
What's included
1 video1 reading
In this module, we will delve into the techniques of timing the stock market, focusing on both the quantitative and coding aspects. You will learn how to analyze market trends and develop algorithms to predict movements, enabling you to make informed investment decisions.
What's included
2 videos
In this module, we will delve into the fundamentals of asset pricing, exploring various strategies and methodologies employed in financial markets. You will learn to create and analyze growth strategies, engage in qualitative discussions, and develop sophisticated AI-driven pricing models. The module culminates with a comprehensive project on building a web-based application using R Shiny, integrating front-end and back-end development for a practical software platform.
What's included
5 videos2 assignments
Instructor
Offered by
Recommended if you're interested in Data Management
University of Pennsylvania
IESE Business School
University of Cape Town
University of Pennsylvania
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.