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Predictive Modelling(Using SAS, SPSS and R)

Begur, Bangalore

22,000

9 Reviews
9 Interested

About the Course


In predictive modeling we are covering descriptive statistics to inferential statistics. We are taking through how to build the model, how forecast, how to do profiling etc. The entire course we divided into four module and after each module we are conducting test, giving some projects and also there is interview after each module is completed.

Topics Covered

All the techniques we will show it in SAS, SPSS and R
Introduction to Statistics
Descriptive Statistics
Measure of central Tendency
Measure of Dispersion
Measure of Shape
Sampling Methods
Simple Random Sampling
Systematic Random sampling
Stratified Random sampling
Cluster Random Sampling
Non Random samplings: Quota, Judgment, Convince and Snow ball sampling
Parametric tests
One sample t test
Independent of two sample tests ( t test & Z tests)
Paired t test
One Way ANOVA
Two ways ANOVA
Non parametric Tests
Mann Whitney U test
Kruskal Wallis Anova, Friedman Anova
McNemar test
Median test
Predictive Modelling technique
Simple Linear Regression (SLR)
• OLS method
• MLE
• Assumption of OLS
• Checking Assumption of SLR
• Problem of Homoscatasity
• Problem of Autocorrelation
• Problem of Multicolinarity
• Data Transformation

Multiple Linear regressions

Logistic Regression for Classification and Prediction

Forecasting Technique
ARIMA Modeling
Exponential Smoothing
Index


Multivariate Techniques

• Factor Analysis For Data Reduction

• Principle Component Analysis

• Cluster Analysis for Market segmentation

• Discriminate Analysis for classification and Prediction

• Multidimensional Scaling for Brand Positioning

• Conjoint analysis for Product design

• Canonical correlation

Who should attend

The candidates who want make career in Analytics.

Pre-requisites

Minimum Graduates required with basic computer knowledge

What you need to bring

Nothing

Key Takeaways

After completing course students have capability of choosing right statistics technique for right data and given problem
Content
Reviews

Chandra

"Before I joined this Predictive Modelling training in this institute, I had very basic knowledge of Statistics and SPSS . But after 3 months of training, I feel very confident. The knowledge Ravi has on Statistics is exponential, every concept is explained in a simple layman language. I would really like to thank Ravi and the institute for all the knowledge sharing. "

attended Predictive Modelling(Using SAS, SPSS and R)


Sai Gunaranjan

"Predictive Modelling Course Course is fantastic,trainer is very knowledgeable. It helped me improve my analytics quotient. I was taught to implement all types of models both in SPSS and SAS. "

attended Predictive Modelling(Using SAS, SPSS and R)


Gopinath

"It was awesome learning experience on predictive modeling,after completing the course i have gained confidence to work individually on predictive modeling. millions of thanks to Complete Analytics. "

attended Predictive Modelling(Using SAS, SPSS and R)


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Recommendations & reviews from previous Customers:

Chandra

"Before I joined this Predictive Modelling training in this institute, I had very basic knowledge of Statistics and SPSS . But after 3 months of training, I feel very confident. The knowledge Ravi has on Statistics is exponential, every concept is explained in a simple layman language. I would really like to thank Ravi and the institute for all the knowledge sharing. "

attended Predictive Modelling(Using SAS, SPSS and R)


Sai Gunaranjan

"Predictive Modelling Course Course is fantastic,trainer is very knowledgeable. It helped me improve my analytics quotient. I was taught to implement all types of models both in SPSS and SAS. "

attended Predictive Modelling(Using SAS, SPSS and R)


Gopinath

"It was awesome learning experience on predictive modeling,after completing the course i have gained confidence to work individually on predictive modeling. millions of thanks to Complete Analytics. "

attended Predictive Modelling(Using SAS, SPSS and R)


Suman V Hiremath

"Predictive Analytics Course I have taken predictive analytics course. It was very nice learning experience, where will get the indepth knowledge of the analytics. And also got good exposure to SAS.Personal attention was given to each student.Thanks to Ravi and complete Analytics. "

attended Predictive Modelling(Using SAS, SPSS and R)


Ravikiran

"Research Analyst. Very good learning experience. The kind of example, techniques that were thought in Predictive Modeling are really helpful in realtime. The course is well structured to bridge the gap and match the industry expectations. Perfect for people who are interested in Analytics."

attended Predictive Modelling(Using SAS, SPSS and R)


Arunraj

"It gave me the best knowledge and resources and equipped me to face the challenges in the industry. It is one of the best center for Predictive Modelling in Bangalore."

attended Predictive Modelling(Using SAS, SPSS and R)


K Rajesh Babu

"Good Institute Complete Analytics is very good institue where in we will get indepth knowlege of Predictive Anaytics,This is est recommandable instiue in Bangalore"

attended Predictive Modelling(Using SAS, SPSS and R)


Basudev

"Predictive Modeling and SAS I would like to thank CA and the teachers, who helped me transforming my career from a marketing guy to a BA in Tech Mahindra. The Course structure and the methodology of teaching having a real life application, which enable the student to a forerunner in Analytics. "

attended Predictive Modelling(Using SAS, SPSS and R)


Praveen

"Excellent Predictive modeling course the predictive modeling course was very useful for me to get a job, I am very much happy with the course. Thanks to Complete Analytics. "

attended Predictive Modelling(Using SAS, SPSS and R)


Date and Time

Not decided yet.

cash back100% Money Back Guarentee

About the Trainer

Ravi

M.Sc Statistics


Trainer have good experience in Statistical Modeling in different domains (Retail/Pharma/Banking/Telecom) with overall 6+ years of experience and thought almost 200+ candidates.
Seats Left-

Students Interested 9

Course Id: 18804