ANALYTICS WITH SAS

ANALYTICS WITH SAS

About The Course

SAS Analytics provide an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From dynamic visualization to predictive modeling, model deployment and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, leading ultimately to new insights and better answers faster.

Course Module

  •  Relevance in industry and need of the hour
  •  Types of analytics – Marketing, Risk, Operations, etc
  •  Future of analytics and critical requirement
  •  Basic statistics; descriptive and summary
  •  Inferential statistics
  •  Statistical tests
  •  Need for data preparation
  •  Outlier treatment
  •  Flat-liners treatment
  •  Missing values treatment
  •  Factor Analysis
  •  Basics clustering
  •  Deciles analysis
  •  Cluster analysis (K-means and Hierarchical).
  •  Cluster evaluation and profiling
  •  Interpretation of results
  •  Statistics Basics Introduction to Data Analytics and Statistical Techniques
  •  Types of Variables, measures of central tendency and dispersion.
  •  Variable Distributions and Probability Distributions .
  •  Statistics Basics Introduction to Data Analytics and Statistical Techniques .
  •  Normal Distribution and Properties.
  •  Export.
  •  Statistics Basics Introduction to Data Analytics and Statistical Techniques
  •  Central Limit Theorem and Application
  •  Hypothesis Testing Null/Alternative Hypothesis formulation .
  •  One Sample, two sample (Paired and Independent) T/Z Tes.
  •  P Value Interpretation.
  •  Analysis of Variance (ANOVA).
  •  Chi Square Test.
  •  Non Parametric Tests (Kruskal-Wallis, Mann-Whitney, KS).
  •  Correlation.
  •  Basics of regression analysis
  •  Linear regression
  •  Logistic regression.
  •  Interpretation of results
  •  Multivariate Regression modeling

Analytics With SAS Course Training


Certification

The most important thing to be considered before enrolling for any course is to make sure it is a certified one or not. A certified course helps improve the skill value of the learner thereby giving them access to better jobs. And this course comes provides the learners with acceptable industry certification for all the training received.

Experienced Faculty

All the faculty responsible for imparting knowledge are expert CAs and FCAs with more than ten years of experience under their built. They provide learners with complete practical training.

Assistance for Placement

Once 70% of the training is completed, our dedicated placement teams start arranging interviews for the learners to help them get placed in a good position.

Lab Facility

Practical Training is always the best sort of training, and that is why we have a high-end lab facility to help the learners gain corporate level exposure with a series of technical tests to assess their progress.

FAQ'S

Workshops

Learners are given them to take part in real-time projects and case studies to better prepare them for the corporate world.

Constant Admin Support

The Admin team is always just a call away, and they take care of all the needs that a learner might have.

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