Applied Statistics for Business and ManagementApplied Statistics for Business and ManagementApplied Statistics for Business and ManagementStatistical Analysis of data for Business and Management professionals and academic researchers is of critical importance. Although there are specialized courses in Statistics for the students of Business and Management but none of the courses offer specialization in either, Stata, Eviews or SPSS and other computer packages. The current course introduces the application of Stata, Eviews and SPSS and other computer application while emphasis is laid on the development of theoretical background of the learners as well as with strong application of the techniques in Statistics for Business. 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 variablesAlso 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 contextsThe 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 ModelRecommended 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.