Duration
26 Weeks
Weekly Study
15 - 20 Hours
100% Online
Total Cost
414 $
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Courses of Program
Cost: 264 $
Option to take certification exams
CAIPC - Artificial Intelligence Professional Certificate
Costo: 150 $
Professional Preparation

Computational Mathematics

Computational mathematics is used to solve scientific, technological and industrial problems through computer modeling of mathematical and statistical models. It is the basis for applying data science and modern artificial intelligence methods. Currently, the Python programming language facilitates the creation of prototypes and models based on mathematical and artificial intelligence foundations, in addition to allowing the development of a visual environment to present conclusions graphically and also with the Power BI application we can generate visual reports.

About the Program

Provide theoretical and practical content in the specialty of computational mathematics, aimed at developing coding skills with Python, to analyze data sets using mathematical algorithms and supervised and unsupervised machine learning methods. Based on analyzing industrial and commercial systems, to describe behavior and obtain conclusions from the trends of management indicators.

Modules Included

Skills You Will Develop with the Computational Mathematics Program

Requirements

It is essential to have experience and accreditation in the following areas:

  • Have completed the module:Python Programming desarrollado por Hetedu.
  • Have obtained a certificate in Advanced Programming with Python or Data Analyst.
  • Previous experience creating and manipulating data with flat files.

During the experience, the student requires the use of applications such as MSSQL, Spyder and Jupyter notebook, for which it is recommended to have a personal computer with the following characteristics:

  • Operating System: Windows 10 or later, macOS, or Linux.
  • 64-bit processor (Intel or AMD) with at least 2 Ghz clock frequency.
  • RAM memory of at least 4 GB (Recommended greater than 8 GB).
  • Hard drive with enough space to store the datasets no less than 1 GB.

Learning Outcomes

With the knowledge that will be acquired and the experience obtained from the laboratories throughout the program, you will be able to cover the following professional opportunities:

  • Data analyst for the information technology sector.
  • Digital analyst in the marketing department.
  • Data architect in Business Intelligence systems, in charge of selecting, organizing and structuring information within different company platforms.
  • Consultant and entrepreneur in the information technology business for the industrial sector.