What Is Programming? And How To Get Started
January 28, 2025
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Recommended experience
Beginner level
This course is for financial enthusiasts, tech beginners, and those interested in statistics. No prior programming experience needed.
Recommended experience
Beginner level
This course is for financial enthusiasts, tech beginners, and those interested in statistics. No prior programming experience needed.
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
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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.
As you advance, the course will guide you through the complex world of asset pricing, introducing you to various quantitative strategies including growth and AI-driven techniques. You’ll gain hands-on experience coding these strategies in R, allowing you to see firsthand how they perform and why they are crucial in modern financial analysis. The course culminates with a practical project, where you will build a web-based financial application using R Shiny, integrating all the concepts you’ve learned to create a functional, user-friendly platform. Throughout this journey, you will acquire not only technical skills but also the analytical mindset necessary to thrive in the fast-paced Fintech industry. By the end of this course, you will be well-equipped to apply R programming in a variety of financial contexts, from managing personal investments to developing advanced trading algorithms. This course is ideal for aspiring Fintech professionals, data analysts, and finance enthusiasts who are looking to integrate programming skills with financial knowledge. A basic understanding of finance and introductory programming experience is recommended.
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.
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.
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.
5 videos2 assignments
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
Sungkyunkwan University
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The Hong Kong University of Science and Technology
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University of Pennsylvania
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Sungkyunkwan University
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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.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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