Monday 6 October 2014

Data Science and Big data analytics training - ROBA Services


Hi aspirants,
We have experienced professional from IIT IIM & ISI alumni and Consultant, having 15 years of experience.  We are conducting Online offline Data Scientist and Predictive modeling analysis, etc.
Reachout Business Analytics was established in 2010. We are providing training and consulting services. We are expertise in Advanced Business Data Analytics, SAS DIS & BI,SPSS & R training through Online, offline and corporate training. Currently we are providing Marketing Research services as well as Retail services using advanced qualitative and qualitative techniques.
Tools:  SAS/SPSS /R programming/R Rattle


Data Scientist Training 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


Corporate Location
Level-7,Maximus Towers, Building 2A,
Mindspace Complex,
Hi-tech City, Hyderabad- 500 081, INDIA
Land line +91 40 40339620
www.robaservices.com, www.reachoutanalytics.com
trainingsasbi@gmail.com Skype ID: kakumani2628


Operations Location
A-77 Journalist Colony,
Jubilee Hills,
Road No 70,
Hyderabad-500033
08978863339

09700213845


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