Learn FinTech and Stock Market Analysis with R Programming
Master financial technology and stock market analysis using R programming. Build practical skills in asset pricing and market timing.
Master financial technology and stock market analysis using R programming. Build practical skills in asset pricing and market timing.
This introductory FinTech course combines financial theory with hands-on R programming skills. Students begin with fundamental money management principles before progressing to advanced topics in stock market timing and asset pricing. The curriculum covers probability theory, quantitative analysis, and algorithmic trading strategies. Through practical exercises, learners develop R programming skills while building financial applications, including a web-based platform using R Shiny. The course emphasizes both theoretical understanding and practical implementation, preparing students for real-world financial technology applications.
Instructors:
English
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What you'll learn
Master fundamental money management principles using R
Develop stock market timing strategies with probability theory
Create and implement quantitative trading algorithms
Build financial analysis tools using R programming
Understand and apply asset pricing models
Implement AI-driven financial strategies
Skills you'll gain
This course includes:
132 Minutes PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This comprehensive FinTech course introduces students to financial technology through the lens of R programming. The curriculum begins with fundamental money management concepts before diving into advanced topics like stock market timing and asset pricing. Students learn to develop and implement quantitative strategies, including growth and AI-driven approaches, while gaining practical experience with R programming. The course culminates in building a web-based financial application using R Shiny, integrating theoretical knowledge with practical implementation. Throughout the program, students develop both technical programming skills and financial analysis capabilities.
Introduction
Module 1 · 23 Minutes to complete
Stock Market Timing
Module 2 · 37 Minutes to complete
Asset Pricing
Module 3 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Enhancing IT Education Through Expert-Led Learning
Packt Course Instructors are dedicated to delivering high-quality educational content across a wide range of IT topics, offering over 5,000 eBooks and courses designed to improve student outcomes in technology-related fields. With a focus on practical knowledge, instructors leverage their industry expertise to create engaging learning experiences that help students grasp complex concepts and apply them effectively. The courses cover diverse subjects, from programming languages to advanced data analysis, ensuring that learners at all levels can find relevant resources to enhance their skills. Additionally, Packt emphasizes personalized learning paths and provides analytics tools for educators to monitor student engagement and success, making it a valuable partner in academic settings.
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Frequently asked questions
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