Essential quantitative business skills
Offered By: Tecnológico de Monterrey via edX
Course Description
Overview
In today's work environment, it is vital for professionals to interpret the large amount of quantitative information to which they have access, more and more we have to interpret large volumes of data (big data), either by analyzing financial reports, case studies or presenting data effectively. This Professional Certification program, offered by EGADE Business School, the number one school in Mexico and Latin America in Finance and Administration, will give you the opportunity to successfully develop these skills that are highly required by companies in today's job market.
With the help of experts, you will use interactive exercises to learn the fundamentals of mathematics, statististical analysiscs, data science and finance, all applied to business.
The topics covered in this Professional Certification program will allow you to obtain theoretical and practical training at the master's or postgraduate level to better understand the functions of business management; additionally, it will prepare you to continue your studies successfully by deciding to pursue a Master's Degree in Finance or an MBA at EGADE.
You will need prior experience using Microsoft Excel.
This program will provide you with the key concepts you need to make successful managerial decision makings in your company, both in the short term and in the long term. For example, to make financial decisions, monetary decisions or investment decisions, it is necessary to know the interest rate, opportunity costs, master financial models, know the capital budget and working capital, the value of money, risk management.analyze risk. In general, this program will give you the quantitative skills and problem solving skills you need professionally to be successful in real world making business decisions.
Quantitative skills like financial modeling give you a framework for creating new tools to compare investment options and determine which will yield the best return based on a set of inputs and assumptions.Corporate finance can help the company in the creation of value, to analyze its financial resources / equity, to know the real assets that the company has, or to select the best investment projects based on the current value of money, and to know the analysis used in the processes.
The program will also cover data science, which helps in making successful operational decisions and managerial decisions based on data analysis, for example, taking into account the information provided by the data you can determine the efficient use of resources.
Syllabus
Course 1: Introduction to Data Science and Basic Statistics for Business
In this course you will acquire statistical methods for decision making in business, as well as technological tools to develop quantitative skills.
Areas such as " big data" require very clear knowledge of statistics and business, technology provides us various applications that require solid training in statistics for proper use and interpretation .
Course 2: Introduction to Mathematics for Finance and Business
In this course you will apply mathemathical fundamentals to solve cases and problems in the context of business and finance.
Course 3: Financial information and its analysis
Applies accounting and financial fundamentals to assess the financial situation of the company and inform the decision-making process.
Courses
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Many companies disappear due to mismanagement of their resources, others miss the potential they have by not planning strategically. Accounting gives us the opportunity to understand how the company performs and relates to its environment. Additionally, finance provides us with tools that allow us to analyze the accounting results of the company and the economic factors of the environment to make timely decisions that allow managers to anticipate the different risks posed by the market.
In this course you will learn how the accounting information of a company is integrated in order to read the financial statements and evaluate its financial health. This information will allow you to make decisions about: the financial health of the company, the levels of debt required by the business, the possibilities for investment and growth, the viability of future projects, the best performance indicators and the convenience of buying or renting a active.
Through finance you will learn to identify the best funding alternatives, select the best from among different projects, and manage the company's cash.
The concepts learned are applicable to the company as a whole, to individual projects and even to the management of our personal finances.
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This course allows you to develop skills of a decision maker leader based on the following competencies:
- analysis of statistical elements of information
- concepts and statistical foundations for the application of the area of data science
Through descriptive statistics, the study and analysis of discrete and continuous probability distributions, as well as the estimation by intervals for the mean and the proportion, it is how you will be able to develop both skills.
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This course will allow you to use mathematical equations to describe and analyze certain problems that appear in the areas of business and finance. For example, it analyzes how the performance of an asset or distributing a product is modeled, how an optimization process is done in a portfolio or how aversion to risk can be described to an investor. Additionally, it will help you understand how certain algorithms are solved to analyze large amounts of data, make forecasts and describe trends. The course uses programming and simulation tools to convey the main concepts.
The course starts from the concept of function, that is the basis of mathematical modeling and allows identifying the relationship between a group of variables of interest. Different types of functions are analyzed , such as linear, polynomial and exponential functions, providing specific examples to the areas of finance and business. The concepts are supported with the help of packages such as R / Python or Matlab. In this way, interactive and visual learning is motivated, which in addition to transmitting mathematical concepts, establishes the bases to develop computational skills.
Taught by
Iván Adolfo Valdovinos Hernández, José Antonio Núñez Mora and Luis A. Hernández Arámburo
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