Postgraduate degree in Data Science Analytics

from Centro de Política Pública y Escuela Superior de Economía y Negocios (ESEN)

Post graduate degree in Data Science Analtyics

The Institute for Statistics Education at Statistics.com and the Centro de Politicas Publicas at Escuela Superior de Economía y Negocios (ESEN) are together offering a Post Graduate degree in Analytics for Data Science.

Program Content

This innovative postgraduate degree in Analytics for Data Science will train business analyts in predictive modeling, forecasting, customer segmentation, data visualization and risk analysis.

The program is taught online in English.

Who is this program for?

This program is aimed at managers, business analysts or data software engineers and other computer professionals who work in positions related to the use of data to support decision-making in any field.

Admission process

To apply, email postgrados.cpp@esen.edu.sv for application.
For more information:  http://www.cpp.esen.edu.sv

 

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In this certificate program, there are '10' required courses + you choose '0' electives

FULL PROGRAM LIST

  • Financial Risk Modeling
    This course teaches participants how to model financial events that have uncertainties associated with them. Next three dates:
    June 15, 2018 to July 13, 2018
    show more dates >> Learn more and register >>
  • Forecasting Analytics
    This course will teach you how to choose an appropriate time series model, fit the model, to conduct diagnostics, and use the model for forecasting. Next three dates:
    July 28, 2017 to August 25, 2017November 24, 2017 to December 22, 2017March 23, 2018 to April 20, 2018July 27, 2018 to August 24, 2018November 23, 2018 to December 21, 2018
    show more dates >> Learn more and register >>
  • Interactive Data Visualization
    This course covers the principles of the visual display of data, both for presentation and analysis. Next three dates:
    October 27, 2017 to November 24, 2017February 09, 2018 to March 09, 2018June 29, 2018 to July 27, 2018October 26, 2018 to November 30, 2018
    show more dates >> Learn more and register >>
  • Introduction to Social Network Analysis (SNA)
    This course will teach a mix of quantitative and qualitative methods for describing, measuring and analyzing social networks. Next three dates:
    August 11, 2017 to September 08, 2017February 23, 2018 to March 23, 2018August 10, 2018 to September 07, 2018
    show more dates >> Learn more and register >>
  • Optimization - Linear Programming
    The course introduces the use of mathematical models for managerial decision making and covers how to formulate linear programming models for decision problems where multiple decisions need to be made in the best possible way while simultaneously satisfying a number of logical conditions (or constraints). You will learn how to use spreadsheet software to implement and solve these linear programming problems. Next three dates:
    August 18, 2017 to September 15, 2017January 05, 2018 to February 02, 2018August 17, 2018 to September 14, 2018
    show more dates >> Learn more and register >>
  • Predictive Analytics 1 - Machine Learning Tools
    This course covers the two core paradigms that account for most business applications of predictive modeling: classification and prediction. The course includes hands-on work with XLMiner, a data-mining add-in for Excel. Next three dates:
    September 29, 2017 to October 27, 2017January 19, 2018 to February 16, 2018May 25, 2018 to June 22, 2018September 28, 2018 to October 26, 2018
    show more dates >> Learn more and register >>
  • Predictive Analytics 2 - Neural Nets and Regression
    This course covers the two core paradigms that account for most business applications of predictive modeling: classification and prediction. The course includes hands-on work with XLMiner, a data-mining add-in for Excel. Next three dates:
    October 27, 2017 to November 24, 2017February 23, 2018 to March 23, 2018June 29, 2018 to July 27, 2018October 26, 2018 to November 23, 2018
    show more dates >> Learn more and register >>
  • Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules
    This course covers key unsupervised learning techniques - association rules, principal components analysis, and clustering. The course will include an integration of supervised and unsupervised learning techniques. Next three dates:
    August 04, 2017 to September 01, 2017January 05, 2018 to February 02, 2018April 13, 2018 to May 11, 2018August 03, 2018 to August 31, 2018
    show more dates >> Learn more and register >>
  • Regression Analysis
    In this course you will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models. Next three dates:
    September 29, 2017 to October 27, 2017January 19, 2018 to February 16, 2018May 11, 2018 to June 08, 2018October 05, 2018 to November 02, 2018
    show more dates >> Learn more and register >>
  • Risk Simulation and Queuing
    This course covers modeling technique making decisions in the presence of risk or uncertainty.  Specific topics include risk analysis using Monte Carlo simulation for risk simulation, queuing theory for problems involving waiting lines, and decision trees for analyzing problems with multiple discrete decision alternatives.
     
    Next three dates:
    November 17, 2017 to December 15, 2017May 04, 2018 to June 01, 2018November 16, 2018 to December 14, 2018
    show more dates >> Learn more and register >>

    Tuition and Fees:  $5000  

    The above estimate includes the program registration fee, and individual course fees.  It reflects considerable savings that are available if you pay the program cost upon enrollment.  You also have the option of paying in monthly installments, or on a course-by-course basis:

    • Pay for your program upon enrollment:  $5000
    • Pay in 18 monthly installments:  $290/month
    • Pay as you go: $7,000

     

    Detailed Fees Description

    Investment

    $ 7,000 (10 installments of $700) payable at ESEN

    Requirements

    • University graduate level degree or equivalent in any discipline, or finishing degre within six months from the date of filing of the application for admission.
    • Knowledge of R programming.
    • Statistical inference as part of undergraduate studies. 
    • English language proficiency at an intermediate or advanced level.

    Documentation required for registration

    • Copy of University degree and Certification registered by the Ministry of Education or equivalent institution outside of El Salvador.
    • Copy of DUI, NIT and a copy of passport.
    • Application for admission.
    • Acceptance of the rules contained in the Academic Regulations of the Higher School of Economics and Business, RAESEN, and the standards established specifically for graduate courses Public Policy Center.
    • Payment of first installment.
     

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