Courses Econometrics and Statistics

Econometrics

Online Courses in Econometrics include Applied Econometrics, Advanced Econometrics, Time Series Econometrics and Panel Data Analysis using Stata, Eviews, R and Matlab.

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Statistics

Online Courses in Statistics include Applied Statistics, Multivariate Statistics, BioStatistics, Business Statistics, Quantitative Techniques and Qualitative Research Methods using Stata and SPSS.

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Data Analysis

Register for online courses in econometric data analysis, statistical data analysis, quantitative data analysis, qualitative data analysis, data analysis using Stata, data analysis using SPSS.

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Online Course in BioStatistics using SPSS and Stata

Introduction
Biostatistics using SPSS and Stata provides a complete training in application of the core concepts and theory of BioStatistics to evaluate various research questions in Healthcare, Medial and Public Health Research. The course in BioStatistics develops a strong understanding of the important topics in concepts and tools in biostatistical and helps the candidates to develop strong statistical arguments and research based reasoning. The online course in BioStatistics provides a deeper understanding of the related concepts in survey development, questionnaire based data collection strategies, and develop a complete background in variables and scales development. Mainly, the contents will cover measures of central tendency, dispersion and will develop the basis for statistical inference based on these key elements and will be applied to real world cases in healthcare and public health. As survey based data is a hard challenge to collect, it is thus needed beforehand to determine the power size and sample size for various kinds of study designs. The survey based data collection will involve if one needs to collect data from random samples, stratefied samples or cluster based samples. So it is pertinent to know the sampling techniques before surveys are administered. We all know that statisticals involved hard mathematical manipulations but this course will smoothen the process of formula derivation to real world case based research applications.

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Course Objectives
The students will learn the following and master the application all these and related other tools to research problems to explore the real world issues in medical professional research, healthcare policy evaluation and public health issues. It is therefore expected that on completion of the course, all the students will be able to:

  •     identify the data types and variables types, measurement of scales and selection of relevant methods
  •     develop the key distributions followed by the data and specific types of variables
  •     calculate relevant summary statistics through measures of central tendency and dispersion
  •     calculate relevant statistics to test hypothesis to answer the research questions in healthcare and public health
  •     understand the distributions, statistics obtained, p-values derived and conclude based on hypothesis
  •     understand the concepts and application of point estimates and interval based estimates
  • conduct one tailed and two tailed hypothesis for group comparison or simple inference on a point estimator
  • testing hypothesis about means and proportion for one group or comparison of two groups
  • selection of test statistic for hypothesis testing for one group, two groups or more than two groups
  • testing hypothesis about proportions from one sample or comparing proportions from two samples
  • conducting analysis of variance (ANOVA) to compare more than two groups from independent samples.
  • computing confidence intervals for single statistic and for statistic to compare groups
  • calculate risks, odds ratio and hazards rates
  • determine relative risks and interpret the estimated values
  • comparing groups on the basis of relative risks and odds ratios
  • conduct survival analysis based on the time based data and experimental designs
  • develop Kaplan Meier estimation for survival estimators
  • cohort based data analysis and selecting relevant statistical methods based on the experimental designs
  • selecting the methods of regression or correlation based on type of data and type of variables
  • simple regression, multiple regression, logistic regression, marginal effects, elasticities and odds ratio
  • developing mediating effects, moderating effects and interpretting interaction terms in regression models
  • Using Stata for biostatistics, estimation of various statistic in Stata and interpreting of results
  • using SPSS for biostatistics, estimation of different statistic and writing reports from interpretation of results.

Course Requirements
To complete the course, we expect you to under basic of research methods for healthcare and public health. If you do not have a basic learning of research in healthcare, we can customize the course in biostatistic for you to include the key elements of research so the learning outcomes can be maximized. It is also desirable to have basic statistical understanding of the code concepts like central tency and dispersion, point estimator and interval estimators. We will cover the techniques both from theory and application side so the requirements are not fixed.

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Target Audience
Students, Faculty, Researchers and Policy Makers in Healthcare, Public Health and Medical Professions.

Registration
Click on the button to send us your initial course request. We will discuss in details through a live chat session and fix the course schedule for you after confirmation of your course fees and other agreements. The course will be offered live and delivered through instructor led lectures, workshops and training based sessions through HD Video Conference.

What do you get from the course?
A complete set of practical experience of using Stata and SPSS for BioStatistics, A complete set of practical experience in doing research in healthcare, a certificate of pass based on submission of completed coursework, assignments and homework in biostatistics. All the sessions in DVD format after recording is completed and processed for download.

Fees
Individuals can request the course for urgent start at the cost of 799USD for two months. Groups can register for the course at the rate of 1200USD for three to five students. Larger groups and class level register for in campus delivery at your university, contact the course providers. Fees for classwide and semester level course in BioStatistics can be requested as well.



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Panel Data Analysis

Panel Data Analysis is a private and customized research based online course. Main contents include Pooled OLS, Fixed Effect, Random Effect, Hausman Test, Heterogeneity, Autocorrelation, Endogeneity, GMM, Unit Root, Panel Cointegration, Panel ARDL, PMG. The online course in panel data analysis will be recorded for each candidate privately while the live discussion is conducted with the instructor. The students will get private discussions on research ideas, get instant solutions for research problems related to econometrics analysis of real world data.


Time Series Analysis

Time Series Analysis is advanced econometrics course which is offered privately with customized contents in unit roots, cointegration, error correction, var, vecm, ecm, ardl, nardl, pmg. The online course in panel data analysis will be recorded for each candidate privately while the live discussion is conducted with the instructor. The students will get private discussions on research ideas, get instant solutions for research problems related to econometrics analysis of real world data.


Basic Econometrics

The basic econometrics introduces the students to application of basic econometrics techniques to applied research techniques. The students will learn about hypothesis testing, distribution of data and inferential techniques, regression and correlation, types of data and selecting appropriate regression techniques for any kind of data. The online course in panel data analysis will be recorded for each candidate privately while the live discussion is conducted with the instructor. The students will get private discussions on research ideas, get instant solutions for research problems related to econometrics analysis of real world data.


Advanced Econometrics

Advanced Econometrics provides a complete theoretical and applied research training in Econometrics Techniques. The core objective of the course is to developed applied research background for the PhD aspirants in Economics and Finance and related fields of study to introduce them to use hyppothesis testing, regression methods, writing of research articles in Applied Econometrics for empirical papers in Economics and related sciences. The online course in panel data analysis will be recorded for each candidate privately while the live discussion is conducted with the instructor. The students will get private discussions on research ideas, get instant solutions for research problems related to econometrics analysis of real world data.


Econometrics Research

The Econometrics Research is a full time research training in Econometrics and Statistics with requirement that the candidates will have to write a publishable quality research articles in Economics and Finance or related sub topics by employing specialized econometrics techniques to data analysis. The online course in panel data analysis will be recorded for each candidate privately while the live discussion is conducted with the instructor. The students will get private discussions on research ideas, get instant solutions for research problems related to econometrics analysis of real world data.


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