Writing First Matlab Program

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Writing your first Matlab code is offered to those researchers, faculty and students of Economics, Finance and other sciences who need to use Matlab for their routine Analytic. This course offers them to start writing their first Matlab Program, Function, Code or using M-files for further use and implementation. This course is based on total of 5 hours which can split into two sessions on each Saturday and Sunday or can be requested on same day (for a group of 10 or more) registrants.

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Course covers the following:

·         Planning for Write Up

·         Basic Operator

·         Structure and Lines

·         Functions and embedding functions

·         Matlab m-Files

·         Inline Functions and the FEVEL command

·         Control Flow

·         Relations and Logical Operators

·         Strings

·         Cell Arrays

·         Rounding to Integers, Special Functions

·         Matlab Graphics

The course provides LIVE demonstration of how to write a code, function and then combine all the lines into a single program which can then be used for specific purposes or can be published online for public usage.

All the registrants will get lecture materials, flash animated e-books secured for the students only use, and practical will be completed by each student in a separate sessions which are to be booked with the instructor prior to each session.

Student needs to register on the e-Learning AnEc Portal on http://elearning.aneconomist.com and pay the course enrolment fee which is set for single registration of 5 hours as £50 and for groups’ upto a maximum of 10 registrations equal to £450. Single registration payments to be paid directly from the portal and Group invoice can be asked from the following email. All payments are processed via PayPal safest mode. You can pay alternatively but we prefer PayPal for your security.

To discuss details, please email on AnEc Mail.

Applied Statistics for Business and Management

Language of Instruction: English

Course Description

Course Registration

Statistical Analysis of data for Business and Management professionals and academic researchers is vital. Although there are specialized courses in Statistics for the students of Business and Management but none of the courses offers specialization in either the SPSS or other computer packages. The current course introduces the application of SPSS and other computer application while emphasis is laid on the development of theoretical background of the learners. The contents of the course offered to students include (but are not limited) to:

• Basic Data Management and Presentation
• Hypothesis Testing and Research Problems
• Causal Relationships, Regression Analysis and Applications
• Qualitative Data Analysis for Binary and Multi-chotomous variables

Also the students of the course would be provided additional support via other mediums like phone, SMS, email beside the traditional and favorite WizIQ!

This course will benefit the students of MBA, BBA and Doctorate students in Business and Management courses have to study and develop the skills of Quantitative Data Analysis. This course will master these students in their Statistical courses.

Course Highlights

• Apply Statistical Techniques to real world data
• Apply Data Analysis to relevant research problems
• Wide range of contents which are usually required in broader contexts

The course package:

• 15 LIVE online classes
• Duration: Two to Four Weeks (Negotiable)
• All Days: 0500 PM to 1000 PM GMT (1000 PM to 0200 AM Pakistan Times)

 The course outline:

• Deterministic Data and Random Data
• Multivariate Tables, Scatter Plots and D Plots
• Measures of Association for Continuous Variables
• Measures of Association for Ordinal Variables
• Measures of Association for Nominal Variables
• Estimating Data Parameters
• Parametric Tests of Hypotheses
• Non-Parametric Tests of Hypotheses
• Statistical Classification
• Multiple Regression
• General Linear Regression Model
• General Linear Regression in Matrix Terms
• Multiple Correlation
• Inferences on Regression Parameters
• ANOVA and Extra Sums of Squares
• Polynomial Regression and Other Models
• Building and Evaluating the Regression Model
• Principal Components
• Dimensional Reduction
• Principal Components of Correlation Matrices
• Factor Analysis
• Survival Analysis
• The Exponential Model
• The Weibull Model
• The Cox Regression Model

Recommended books for this course:

• Probability and Statistics, Fourth Edition by Morris H. DeGroot & Mark J. Schervish
• SPSS for Introductory Statistics Second Edition by Morgan et al
• A First Course in Business Statistics, Eight Edition by JAMES T. McCLAVE, P. GEORGE BENSON & TERRY SlNClCH

• Note: Students must purchase these books themselves. These are not available as part of the course. Discount coupons may be asked from the teacher who would be happy to share if any available right now.

Qualitative Data Analysis Using SPSS

The course is a special course in Applied Statistics for Social Scientists and Business Professional and Using SPSS v20. The course is equally important to the beginners and advanced learners in Statistics, Social Sciences, Business and Management and Qualitative Data Analysis who want to blend their experimentation with their modeling and analysis using SPSS. The main objective of the course is to introduce the Theory and Application of Statistics and how to use the powerful Statistical Tool, SPSS. Objective of the course is specifically to develop strong academic knowledge in Applied Statistics and Qualitative Data Analysis Using SPSS.

The course is planned in three sections:

·         12 Weeks/Three Month Long Sessions

·         Eight Week/Two Months Sessions

·         Four Weeks/One Month Sessions

Registration Open: Click Here

·         Registration starts: Today

         Course Begins: Each Weekend

Main contents are:

·         Nature of Qualitative Data

·         Exploratory Statistics

·         Regression Analysis and Diagnostics

·         Factor Analysis

·         Regression Models with Limited Dependent Variable

  

All these topics will be discussed in context of SPSS

The course fee structure is designed;

For Individuals:

• ·         Default (Pre-selected topics): 200GBP for three months,
• ·         Can Be Requested via email: 250 for two months
• ·         Can Be Requested via email: 300 for One Month Special

 For Groups/Institutions:

• ·         Default: 500GBP per Month,
• ·         Can Be Requested : 800GBP for Two ­­­­­Months

Selected topics will be offered during the two and One Month courses, and is optional for Three Month course. Additional topics would also be covered. 

SPSS Datasets, EBooks, Manuals, EBooks and weekly lecture slides will be provided before commencement of each lecture. 

The course will be offered to those who register on http://elearning.aneconomist.com. Only confirmed registrants would be provided enrollment keys for the courses. Fee should be submitted within 7 days of the online registration. Seats are limited so first come and first serve is the principle for registration.

Multilevel and Mixed Models Using Stata

Learn Multilevel and Mixed Models Using Stata

Description

The Four-Week (Four Hours per Week) course is designed to cover current and recent trends in multilevel/mixed models techniques being implemented in Stata. The course is aimed to social scientists, healthcare professionals and bio-statistic faculty and students who are interested in developing a more blended Econometric skill and a Stata mind. The course is targeted towards personal learning needs as every registrant will be provided a personal lecture time during the course. The course will be collaborative, using example datasets, interactive providing complete independence for Q&A and offer plenty of opportunities for personal and specific research questions. 

Registration Fee: 200GBP 
Register Today
 
Note: To be Paid in advance and full fee is Refundable before each after deducting the processing charges. No fee will be refunded after course start dates.

Course Contents

·         Review of basic linear regression using Stata

·         Variance-components models

·         Random-intercept models with covariates and Random-coefficient models

·         Longitudinal, panel, and growth-curve models

·         Dichotomous or binary responses, Ordinal responses

·         Higher-level models with nested random effects

·         Crossed random effects

Prerequisite

Basic knowledge of standard linear regression and a working knowledge of Stata and the Do-file Editor

Sessions
The discussion session will be held each Saturday and Sunday starting next weekend using Online Tools for Learning Management.

Notes
Registration Places are limited. Computers/Laptops with Internet Connection, Skype and Stata installed are required to discuss and practice the models being discussed during the course. Training sessions are held on the Weekends to facilitate more registrants being able to learn. Learning materials, e-books, manuals and reference datasets will be provided for practice. Personal data is encouraged to practice on to identify more relevant issues.

Helpful Resources:
Main Text for Reading and Following

·         Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal

Other Important Reading List

·         Aerts, M., Geys, H., Molenberghs, G., and Ryan, L.M. (2002). Topics in Modeling of Clustered Data. London: Chapman & Hall.

·         Brown, H. and Prescott, R. (1999). Applied Mixed Models in Medicine. New York: John Wiley & Sons.

·         Crowder, M.J. and Hand, D.J. (1990). Analysis of Repeated Measures. London: Chapman & Hall.

·         Davidian, M. and Giltinan, D.M. (1995). Nonlinear Models For Repeated Measurement Data. London: Chapman & Hall.

·         Davis, C.S. (2002). Statistical Methods for the Analysis of Repeated Measurements. New York: Springer.

 
Email us for any query or further information.