Master financial math, economic analysis, investment evaluation, and stats to build a solid foundation in finance.
Master financial math, economic analysis, investment evaluation, and stats to build a solid foundation in finance.
This comprehensive course from Universidad del Rosario provides essential knowledge in financial mathematics, statistics, accounting, and investment analysis. Students will explore the time value of money, interest rate equivalence, uniform series, and amortization systems. The financial statistics section covers discrete and continuous returns, the risk-return concept, and non-systematic risk measurement through beta coefficients. In financial accounting, students learn about financial analysis objectives, scope, and techniques for analyzing financial statements using economic indicators. The course also covers investment evaluation concepts including net present value and internal rate of return. By understanding these fundamental principles, students will gain the necessary foundation to navigate the complex world of finance, make informed investment decisions, and properly evaluate business financial performance.
Instructors:
Spanish
Español
What you'll learn
Understand simple interest rate, compound rate, and time value of money concepts
Apply uniform series knowledge to set fixed income instrument prices, bonds, and credit amortization
Establish the logic of company financial statements and their interrelationships to determine economic and financial viability
Understand and apply net present value and internal rate of return concepts for investment alternative evaluation
Use financial statistics concepts on asset prices to determine the risk-return relationship
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 4 modules in this course
This comprehensive course from Universidad del Rosario introduces students to the essential foundations of financial mathematics, accounting, and statistical analysis needed for success in the finance field. The curriculum is structured around four key areas: financial mathematics, financial analysis, project evaluation, and financial statistics. In financial mathematics, students explore the time value of money, interest rate equivalence, and uniform series concepts. The financial analysis section covers horizontal and vertical analysis techniques, working capital management, and financial indicator analysis. Students also learn about project evaluation fundamentals, including project and investor cash flows and weighted average cost of capital. The financial statistics portion introduces relative valuation, exploratory data analysis, normal distribution, and portfolio theory concepts. This well-rounded approach ensures students develop a solid theoretical foundation while gaining practical analytical skills applicable to real-world financial decision-making.
Matemáticas financieras
Module 1
Análisis financiero
Module 2
Fundamentos de evaluación financiera de proyectos
Module 3
Conceptos de estadística financiera
Module 4
Instructor
Profesor at Universidad del Rosario
Gonzalo Ramírez Carrillo is a professor at Universidad del Rosario, specializing in economics and business administration. He holds a degree in Business Administration and a master's in Economics from the Pontificia Universidad Javeriana in Colombia. Additionally, he has a master's in Data Science and Big Data from Afi Escuela de Finanzas in Spain and is pursuing doctoral studies in Data Science at Universidad Loyola Andalucía in Spain. He received the Juan Agustín Uricoechea y Navarro Teaching Excellence Award from Universidad del Rosario and is a former scholar of the Fundación Carolina. His teaching and research focus on financial and economic analysis, sustainable finance, financial derivatives, and machine learning algorithms applied to economics and finance. Professionally, he has experience in the financial sector, particularly in fixed-income securities trading and as an analyst for companies listed on the NYSE and NASDAQ.
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