Tuesday 7 October 2014

Online training for Data Scientist by Alumni IIM,ISI - ROBA Services


Hi aspirants,
We have experienced professional who is from IIM & ISI alumni and Consultant, having 14 years of experience.  We handle all kinds of Research projects for Marketing Research PhD, MBA and MS. Till now around 70 projects has been handled from worldwide top universities like Oxford, Howard University, London Metropolitan University, Middlesex University, IIM, IIT, ICFAI, Marketing research data (pre-post marketing data), Retail data analysis, etc.

Reachout Business Analytics was established in 2010.  We are providing Training and consulting services for Data Modeling.  We are expertise in SAS Business Intelligence & Advanced Business Data Analytics.  Currently we are providing Marketing Research services as well as Retail services using qualitative and quantitative techniques.


Content

Tools:  SAS/SPSS /R programming/R Rattle

Part-I:  Business Data Analytics
Descriptive Statistics:
Introduction to Advanced Data Analytics       
Statistical inferences for various Business problems   
Types of Variables, measures of central tendency and dispersion            
Variable Distributions and Probability Distributions     
Normal Distribution and Properties

Part-II:  Test of Hypothesis
Null/Alternative Hypothesis formulation       
One Sample, two sample (Paired and Independent) T/Z Test     
Analysis of Variance (ANOVA), Chi Square Test             
Non Parametric Tests (Kruskal-Wallis, Mann-Whitney, KS)         

Part-III:  Advanced Analytics
Multivariate Regression      Introduction to Correlation - Karl Pearson and Graphical Methods
Spearman Rank Correlation, OLS Regression - Simple and Multiple         
Logistic Regression Non Linear Regressions using Link functions                              
Binomial Propensity Modeling         

Part-IV: Factor Analysis
Introduction to Factor Analysis – PCA
Reliability Test
KMO MSA tests, Eigen Value Interpretation, Factor
Rotation and Extraction     

Part V: Cluster Analysis
Introduction to Cluster Techniques 
Distance Methodologies, Hierarchical and Non-Hierarchical Procedures               
K-Means clustering
Wards Method    

Part-VI :  Time Series Analysis
Introduction and Exponential Smoothening  
Decomposition of Time Series          
Trend and Seasonality detection and forecasting         
Exponential Smoothing (Single, double and triple), ARIMA Modeling      

Part VII:  Data Mining
Data Exploration and Visualization, Hypothesis Testing
Data Manipulation, Standardization, Missing value Treatment   
ROC, Sensitivity, Specificity, Lift charts, Error Matrix
Cluster Analysis using R-Rattle          
Predictive Modeling using decision Trees     
Big Data analytics Concepts and Hadoop Concepts


Articles published by our trainer 

    513 Elevating Performance Management System Through Knowledge Management.
     
     463 Consumer Behavior in Adopting Mobile Banking Services




Contact Details :
Reachout Business Analytics Services
Level 7, Maximus Towers, Building 2A,
Mindspace Complex, Hitech City,
Hyderabad-500 081
+91-8978863339 (INDIA)
+91-7702778939




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