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The Fundamental of Data-Driven Investment
Learn R programming for investment analysis, covering quantitative investing, risk assessment, and portfolio optimization.
Course Cost
₹ 2,699
Beginner
Skill Level
17 Hours
Self-paced lessons
This course teaches fundamental analysis of investment using R programming, focusing on practical skills for everyday investment management tasks. Covering topics like quantitative investing, risk assessment using factor models, and portfolio optimization, the course combines investment theory with hands-on R programming practice. Designed for those with basic knowledge in financial economics and introductory statistics, it's ideal for improving both investment analysis and programming skills. Python alternatives are also provided for each R script.
English
What you'll learn
Build an investment factor model using regression methodology
Employ optimization algorithms using R standard library
Explain portfolio performance using various metrics
Analyze past returns and forecast future returns
Assess investment risks using factor models
Create and optimize portfolios using mean-variance analysis
Evaluate asset performance using advanced analytics tools
Skills you'll gain
This course includes:
4 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 4 modules in this course
This course offers a comprehensive introduction to data-driven investment analysis using R programming. Students will learn to analyze past returns, forecast future returns using regression models, and assess investment risks through factor analysis. The curriculum covers quantitative investing techniques, portfolio optimization using mean-variance analysis, and performance evaluation. Participants will gain hands-on experience in manipulating financial data, building investment models, and optimizing portfolios using both R and Python programming languages.
Analyzing Past Returns and Forecasting Future Returns
Module 1 · 6 Hours to complete
Understanding the Risk Using Factors
Module 2 · 4 Hours to complete
Portfolio Analysis and Optimization
Module 3 · 3 Hours to complete
Performance Analysis
Module 4 · 4 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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