DESCRIPTION
Another level of data analysis with powerful analytical tools is Eview and Stata. A new chance to be at that level of professionalism.
This course, extended over substantial sections, provides a comprehensive introduction to Stata and Eview to cultivate all the variables, and the relevant Stata commands, used in Data analysis.
Know now, Stata is simply a general-purpose statistical software package developed for data manipulation, visualization, statistics, and automated reporting instinctively representing a large variety of statistical features for operations like data analysis, and statistical analysis of data.
As an analyst or an economist, in general, if your skills are devoid of chart representation, running of a diagnostic test, or complete packaged morality test then you have to take this course as you'll further learn how to analyze data for forecast, how to lay your statistical analysis using visual tools, autoregressive distribution model to execute a commendable forecast.
I mentor this course with experience amassed from more than 5years of practice and execution of data-related projects, this is your chance to learn a data analysis course that focus on statistical packages used mainly for time-series-oriented econometric analysis with key features that include autocorrelation, co-integration, impulse response, causality test, Unit root test, and more are actualized with Eview.
What are the course requirements?Access to a laptop or computer.
Who this course is for:
- Business managers using quantitative evidence.
- Those working in policy and government analyzing data.
- Economics/Politics/Social Science students working with data.
FREQUENTLY ASKED QUESTIONS
Are the videos downloadable?
The videos are highly compressed and downloadable.
Will I be able to download the software?
Yes, The link to the software is available in the first lesson, and all resources used in the course will be given to you as well for FREE.
Will a certificate be issued?
Yes, a certificate of completion will be issued at the end of the course.
