Understanding, Presentation and Analysis of Data for Finance Professional Snapshot of Data Analysis Tools Techniques Dr. Gautam Bandyopadhyay Department of Management Studies, NIT Durgapur Techniques for Data Analysis for Research
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Presentation Transcript
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Understanding, Presentation and Analysis of Data for Finance Professional Snapshot of Data Analysis Tools & Techniques Dr. Gautam Bandyopadhyay
Department of Management Studies, NIT Durgapur<br>
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Techniques for Data Analysis for Research (Overview) What is Statistics
Role of Data
Representation of Data Primary Secondary Cross-Sectional Longitudinal Panel Graphical Tabular Dr. Gautam Bandyopadhyay, DMS, NIT Durgapur 2<br>
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Techniques for Data Analysis for Research (Overview) Concept of Univariate Data
Concept of Bivariate Analysis
Concept of Multivariate Analysis Central Tendency Measures of Dispersion Descriptives – Five Point Summary Skewness Kurtosis Correlation Regression Dr. Gautam Bandyopadhyay, DMS, NIT Durgapur 3<br>
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Techniques for Data Analysis for Research (Overview) Concept of Probability
Concept of Sampling
Concept of Estimation Random Variable Probability Distribution Theoretical Derived Dr. Gautam Bandyopadhyay, DMS, NIT Durgapur 4<br>
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Techniques for Data Analysis for Research (Overview) Concept of Testing of Hypothesis
Application
Chi-Square Distribution, t, F
Application of ANOVA Parametric Non-parametric Discrete (Binomial & Poisson) Continuous (Normal) One-Way Two-way MANOVA Dr. Gautam Bandyopadhyay, DMS, NIT Durgapur 5<br>
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Techniques for Data Analysis for Research (Overview) Multivariate Analysis & Applications Structural Simplification & Dimension Reduction Factor Analysis Segmentation: Heterogeneous categorical values & cases Cluster Analysis Prediction & Causal Association purpose Multiple Regression (MR), ANN Feature Selection MR, LR Classification Discriminant Analysis, Logistics Regression (LR), Support Vector Machines (SVM) Dr. Gautam Bandyopadhyay, DMS, NIT Durgapur 6<br>
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Techniques for Data Analysis for Research (Overview) Validation of Supervised and Un-supervised Learning Techniques
Qualitative Analysis Bootstrapping K-Fold Validation LOOCV (Leave One Out Cross Validation) Text Mining, Sentiment Analysis, Opinion Mining Grounded Theory, Meta Analysis, Cognitive Mapping etc. Dr. Gautam Bandyopadhyay, DMS, NIT Durgapur 7<br>
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Tools for Data Analysis for Research (Overview) Some of the popular tools for data analysis & research Open Source (R, Python, JAMOVI etc.) Licensed (SAS, SPSS, Statcraft, E-Views, Stata, NVIVO etc.) Dr. Gautam Bandyopadhyay, DMS, NIT Durgapur 8<br>
