SAS Predictive modeling (Advanced analytics)

Course Features

• Instructor Live Sessions

  30hrs of Online Live Instructor-led Classes. Weekend class:10 sessions of 3 hours each and Weekday class:15 sessions of 2 hours each.
• Real-life Case Studies

  Live project based on any of the selected use cases on the above selected Domain.
  
• Assignments

  Each class will be followed by practical assignments which can be completed before the next class.
• 24 x 7 Expert Support

  We have 24x7 online support team available to help you with any technical queries you may have during the course.
• Certification

  Towards the end of the course, you will be working on a project. Covalent certifies you as an course Expert based on the project.

Course Curriculum

• SAS Advanced Analytics Course content

  SAS Adv. Analytics or Predictive Modelling:-

  SAS Base & Advanced Course:- 

  • Getting Started with SAS
  • Working with SAS syntax
  • Getting Familiar with SAS dataset
  • Reading SAS datasets
  • Reading SAS datasets
  • Reading Excel worksheets
  • Reading Delimited Raw data files
  • Validating and cleaning data
  • Manipulating data
  • Combining SAS Datasets
  • Enhancing Report (ODS systems)
  • Summary Reports
  • Controlling Input and Output
  • Summarizing Data
  • Reading Raw Data Files
  • Data Transformations
  • Processing Data iteratively
  • Restructuring a Data set
  • TRANSPOSE Procedure

  SQL Procedure:

  • Introduction to SQL procedure
  • Basic Queries
  • Displaying Query Results
  • Sub queries
  • SQL Joins
  • Set Operators
  • Creating Tables and views
  • Interfacing SQL with Macro Language
  • Managing Tables
  • Use of SQL in Clinical Trials

  Macro language (SAS Macro)

  • Macro Variables
  • Macro definitions
  • Data Step and SQL Procedure
  • Macro Programs
  • Use of Macro language in Clinical Research

   

  Free sessions :

  SQL

  EXCELL

   

  Predictive Modelling:

  I. Descriptive Statistics

  Introduction to Statistics

  Data Preparation

  Discrete Distributions

  Binomial, Poisson, Negative Binomial, Geometric and Hyper-Geometric Distributions.     

  Continuous Distributions

  Normal, Uniform, Gamma, Beta of I and II kinds, Exponential, Cauchy Distributions.

  Sampling Methods

   

  II. Statistical Inference

  Parametric tests

  Non parametric Tests

   

  III. Predictive Modeling technique

  Simple Linear Regression (SLR)

   

  IV. Multiple Linear regressions 

  V.  Logistic Regression for Classification and Prediction

  VI. Forecasting Technique (Time series Analysis)

  VII. Multivariate Techniques

   

Projects

• SAS Adv Analytics Projects

  SAS Adv Analytics  Real Time Projects

FAQ's

• Can I attend a demo session before enrollment?

  Yes

• What if I miss a class ?

  If you miss a class we can provide recording video for particular session and same session you have to attend another batch also

• Will I get placement Assistance ?

  Yes

• Do I receive a certificate for training ?

  • Once you are successfully through the course you will be awarded with Covalent's Training certificate.
  • Covalent certification has industry recognition and we are the preferred training partner for many MNCs.

• what support is available after the training?

  Doubts clarification up to getting a job

  Resume preparation

  Malk interviews

  Placement Assistance

• What Features do you provide?

  • Led sessions with corporate trainers
  • Course Material
  • Real time projects with industry experts
  • Day wise Assignments (Tasks)
  • Lab facilities
  • Placement assistance
  • Resume preparation
  • Software installation
  • Doubts  clarifications

Certifications

• Course Completion Certificate

  • Once you are successfully through the course you will be awarded with Covalent's Training certificate.
  • Covalent certification has industry recognition and we are the preferred training partner for many MNCs.