The course that has been presented is based on the domain of applied econometrics. The students in the Certificate Course on Computer Applications in Economics Analysis certification course will be using software packages that are primarily used by analysts and economists.
The programme to keep in pace with the modern demands of education has adopted itself with the modern learning approaches to impart knowledge on applied econometrics.
The primary focus of the Certificate Course on Computer Applications in Economics Analysis by Gokhale Institute of Politics and Economics is to make students understand the rudimentary concepts and the theoretical aspects that are important in the critical work front. The Certificate Course on Computer Applications in Economics Analysis certification syllabus will be imparted by the means of hands-on session and practical examples will be provided by the faculty to the students. The programme module will be covering a wide data set solutions to make the process of learning and understanding easy for the applicants.
The Highlights
Certificate by Gokhale Institute of Politics and Economics
The course has been structured for the graduate students and the course needs to have understanding of the econometrics course and also the software packages that are used by the various empirical analysts and economists.
Certification Qualification Details
To receive the Certificate Course on Computer Applications in Economics Analysis certification the applicants need to secure a minimum of 80% in their final exams. The students also need to secure a minimum of 20% in at least three assignments that would be given to them. For the final exam the students will be asked on- practical exercises, short objective type questions, report writing on the basis of the provided data set and result interpretation.
What you will learn
Knowledge of computer application
The students will have their skills developed in the following sector after they complete their Certificate Course on Computer Applications in Economics Analysis training-
The applicants will study about the importance of handling real data while working on projects related to industries.
He/she will have their skills enhanced in the various methods of analysis and with that their existing knowledge of economics will also increase.
The applicants will further be able to understand the basic conditions under which estimators are applicable.
Candidates will also be learning about the theoretical methods related to analysing the numerical data.
He/she will cover the technical terminology in the Certificate Course on Computer Applications in Economics Analysis certification syllabus.
The registered candidates will be encouraged to work on the panel data models and sets for solving the least square problems.
Candidates will also apply the knowledge of estimators while solving the problems that pertain to the numerical data sets.
He/she will further be working on the empirical results that are used in the domain of economics literature.
Certificate Course on Computer Applications in Economics Analysis certification benefits the students by allowing them to work on particles related to economic problems.
The students will be using statistical and mathematical tools for solving econometrics problems.
Who it is for
The Certificate Course on Computer Applications in Economics Analysis programme has been designed for the following candidates-
The students who want to study in the field of economics can get themselves registered for this programme.
Candidates who have completed their graduation and want to study more about the various computer applications related to economics can apply for the course.
Application Details
For getting registered for the Certificate Course on Computer Applications in Economics Analysis program is required the students follow the steps-
Step 1: Please visit the URL to get the form of the course.
Note- The application process for the said course is not available now. Please visit the site later for details.
The Syllabus
Section 1: Text analysis utilities
Data preparation by cleaning special characters and spaces from texts
Removal of user-defined words
Stemming for related words
Discriminant analysis
Clustering and use of dictionaries.
Section 2: Model specification
Data classification
Role of data
Exploratory data analysis vs. formal statistical inference
Different dimensions of data.
Section 3: Modeling average
Working with the real-world dataset (usefulness and shortcomings of modeling mean, the relative efficiency of mean and median, confidence interval and its interpretation, etc.)
Section1
Least square principle and concept of resistance
Mean-based vs. ordered-based statistics, etc.
Section 2: Data Distribution
Outlier detection
Validity of normality assumption
Data transformation using cross-sectional data.
Section 1: Concepts
Basic principles and discussion on the theoretical background
Section 2: Regression with graphics
Checking the model assumption
Exploratory band regression
Checking of high leverage & influential points
Transformation of data towards linearity
Double-log transformation vs. semi-log transformation, etc.
Section 1
Hierarchical sequence of simple regression
Added variable plot, etc.
Section 2
Working with the different macroeconomic data set
Money illusion in the demand function
Partial vs. multiple regressions
Decomposing the sum of squares
Coefficient of determination
Partial regression vs. partial coefficients
Checking the assumptions of regression model, etc.
Section1
Omitted variable bias
Testing zero restrictions/non zero linear restrictions, etc.
Section2
Parameter stability using macroeconomic database
Use of dummy variables, etc.
Section 1
Detecting heteroscedasticity
Different test statistics, and
Transformation towards homoscedasticity.
Section 2
Detecting heteroscedasticity by graphical method using survey data
Finding appropriate transformation, working with group data, etc.
Section1
Handling different data sets where dependent variable is categorical
Section 2
Preparation
Distributional and contingency tables
Section 3
Test of association
Logit and probit modeling
Comparing probit with linear probability model
Section 1
Stationarity and Non-Stationarity of data
Different types of the ordering of data
Structural autocorrelation vs. temporal autocorrelation
Autoregressive process
Multivariate time series, etc.
Section 2
Role of moving average in modelling exercise
Auto-regressive moving average process
Cointegration
ARCH-GARCH modelling
Inferring causality and reverse causality, etc
Section 1
Panel data
Complicacy of panel data analysis
Short vs. long panel
Balanced vs. unbalanced panel
Clustering of residual
Types of regressor
Fixed vs. random effects models
Role of instrument variable to control endogeneity.
Section 2
Organization of the real-world dataset for
Panel analysis
Panel identifier
Time identifier
Regression analysis
Interpretation of result
Report writing.
Section 1: Population age-sex structure
A tool to understand demographic change and evaluate data quality
Concepts and measurements related to demographic change: fertility, mortality, and migration
Section 2
Direct and indirect estimation techniques for fertility and mortality data from
registration systems
Household surveys
Censuses
Section1: Spatial Autoregressive model
Section 2: Spataial Moving Average model
Section 3: Spatial Autoregressive Moving Average model
Section 4: Spatio-temporal model
Section 5: Spatio-temporal panel
Section 1: Market segmentation
Identification of homogenous groups of objects (or cases, observations) called clusters - hierarchical methods and partitioning methods
Section 2: Conducting a Cluster Analysis
Selection of Clustering Variables
Types of clustering variables
Factor-cluster segmentation
Section 3: Selection of Clustering Procedure
Hierarchical Clustering Methods
Gokhale Institute of Politics and Economics, Pune Frequently Asked Questions (FAQ's)
1: What is the duration of the given programme?
The students are requested to please visit the official site of Certificate Course on Computer Applications in Economics Analysis online course to get more details about the course time table.
2: Who will conduct the sessions?
The sessions of the Certificate Course on Computer Applications in Economics Analysis certification course will be conducted by the faculty of Gokhale Institute of Politics and Economics.
3: Will there be a final exam held for the course?
Yes, to evaluate the students a final examination will be conducted by the faculty of the Gokhale Institute of Politics and Economics.
4: What is the fee structure?
The Certificate Course on Computer Applications in Economics Analysis fee structure has been provided in the course brochure. Please download it from the given link.
5: When will the application resume?
The applicant process for the Certificate Course on Computer Applications in Economics Analysis training will shortly resume. Please visit the website for updates.
6: What is the required percentage one needs to have to get the certificate?
The students are required to have a minimum of 80% in their final examinations to receive their Certificate Course on Computer Applications in Economics Analysis programme certificate.
7: Who is organizing the Certificate Course on Computer Applications in Economics Analysis certification?
The certification course has been organized by Gokhale Institute of Politics and Economics (Deemed to be University).
8: Who will benefit from the programme?
Students who have completed their graduation and want to study the subject of economics will be benefiting from the programme.
9: Where has the curriculum been provided?
The students can access the syllabus of the course from the homepage.
10: Will the course provide study guides to the students?
Yes, the Certificate Course on Computer Applications in Economics Analysis programme will be providing the candidates with study guides.