Archive for the ‘sas training in delhi:iisastr’ Category

sas training in delhi testimony:Ashu Agarwal

Tuesday, December 9th, 2014

Dear Debendra Sir

The SAS training sessions at IISASTR were highly enriching since Deb Sir practically implements
SAS concepts in Projects.
Each topic was covered indepth with 80:20 Practical Approach.
Each session showed the 360 degree approach to touch the micro-details of SAS Concepts.
I thanks Deb Sir and wish others will get benefits of his expertise.

Regards
Ashu Agarwal

sas training delhi testimony from Bibhudutta

Thursday, September 5th, 2013

It has been a wonderful experience for me to have learnt Base SAS from your Institution IISASTR.

I always believe in building up a strong foundation of fundamental concepts and not just mug up codes. Conceptual clarity is highly essential for learning a program like Base SAS.

I would like to thank you for helping me learn the core logic of programming in Base SAS. Your sessions for error handling and problem solving helped me a lot.

A fluid and easy learning pedagogy followed by your institution helped me to grasp the key concepts thoroughly.

I wish Devendra Sir and IISASTR all the best for its future endeavors and hope IISASTR will continue with its mission to create some of the best intellectuals in Analytics.

Thank you.

Regards

Bibhudutta Subhasish
Research Analyst.
Ficonomist.

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SAS training Delhi

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email: info@iisastr.com

Machine learning using python syllabus:iisastr

Wednesday, August 28th, 2013

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contact Ph: 9312506496
email: info@iisastr.com

Machine learning using python syllabus
CLASSIFICATION
• Machine learning basics
• Classifying with k-Nearest Neighbors
• Splitting datasets one feature at a time: decision trees
• Classifying with probability theory: naïve Bayes
• Logistic regression
• Support vector machines
• Improving classification with the AdaBoost meta-algorithm

FORECASTING NUMERIC VALUES WITH REGRESSION
• Predicting numeric values: regression
• Tree-based regression

UNSUPERVISED LEARNING
• Grouping unlabeled items using k-means clustering
• Association analysis with the Apriori algorithm
• Efficiently finding frequent itemsets with FP-growth

ADDITIONAL TOOLS
• Using principal component analysis to simplify data
• Simplifying data with the singular value decomposition
• Big data and MapReduce

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Testimony for IISASTR Delhi NCR from RIL :: Reliance Industries Limited :: Reliance Group

Wednesday, March 6th, 2013

The training is organized over three days.It was good training with lot of learning. I would like to thanks Mr Dhir for providing this training.

Name : Prasant Bisoi
designation: Sr manager -IT
Reliance Industries Limited

Perl training In Delhi

Thursday, August 30th, 2012

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email: info@iisastr.com
Perl Syllabus :IISASTR
• Introduction
• Starting a Perl Script
• Options
• Data Types and Objects
• Syntax
• Compound statements
• Simple statements
• Expressions (including pre-defined functions and “special” operations)
• Flow control operations
• Operators (including File Test operators)
• Arithmetic functions
• Conversion functions
• String functions
• Array and list functions
• File operations
• Directory reading
• I/O operations
• Search and modification operations
• System interaction routines
• Miscellaneous operations
• System information
• Precedence
• Subroutines
• Passing By Reference
• Regular Expressions
• Formats
• Predefined Names
• Packages
• Style
• Debugging

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SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential

Tuesday, July 3rd, 2012

SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
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email: info@iisastr.com
Exam Syllabus

Beta Exam topics include:
ANOVA

Verify the assumptions of ANOVA
Analyze differences between population means using the GLM and TTEST procedures
Perform ANOVA post hoc test to evaluate treatment effect
Detect and analyze interactions between factors

Linear Regression

Fit a multiple linear regression model using the REG and GLM procedures
Analyze the output of the REG procedure for multiple linear regression models
Use the REG procedure to perform model selection
Assess the validity of a given regression model through the use of diagnostic and residual analysis

Logistic Regression

Perform logistic regression with the LOGISTIC procedure
Optimize model performance through input selection
Interpret the output of the LOGISTIC procedure
Score new data sets using the LOGISTIC and SCORE procedures

Prepare Inputs for Predictive Model Performance

Identify potential problems with input data
Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
Reduce the number of categorical levels in a predictive model
Screen variables for irrelevance using the CORR procedure
Screen variables for non-linearity using empirical logit plots

Measure Model Performance

Apply the principles of honest assessment to model performance measurement
Assess classifier performance using the confusion matrix
Model selection and validation using training and validation data
Create and interpret graphs for model comparison and selection
Establish effective decision cut-off values for scoring

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IBM SPSS Crtification training in delhi Testimony

Thursday, April 12th, 2012

IISASTR is a very good institute for the training in statistical software SPSS and minitab .
The training provided for both the software along with IBM Certified Specialist – SPSS Statistics Level 1was very informative,up to date and accurate.
The best part of the institute is the faculty ,whose understanding of the concepts is very strong and he is successful in effectively transmitting these concepts to the students.
I would highly recommend IISASTR to any one who would like to train themselves in usages of SPSS and minitab.

Nida Siddiqui
Msc in mathematics (Lucknow University)
working as a lecturer in OMAN

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ph-9312506496