Price 25,000.00 GST

Course Features
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Language: English
access_time
60 hours
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Study Level: Intermediate
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Certificate of Completion

Data Science with SAS Certification Training Course Agenda

Lesson 1: Analytics Overview

  • Definition of Analytics
  • Types of Analytics
  • Analytics Problem Types
  • Widely used tools and analytical techniques

Lesson 2: SAS Introduction

  • Introduction of GUI
  • Library statement, understanding of PDV
  • Import / Export of Data
  • Variable Attributes
  • Basic Procedures

Lesson 3: Combining/Modifying Datasets

  • Combining Data Sets Methods
  • Concatenation
  • Interleaving
  • One to One Reading
  • One to One Merging
  • Data Manipulation steps and tools
  • SAS Functions and Procedures for Data Manipulations

Lesson 4: PROC SQL

  • Introduction and Advantages
  • Options and Syntax – Understanding of Select Statement
  • Joins in SQL
  • Merge v/s Join

Lesson 5: SAS Macros

  • Need for SAS Macros
  • Macro Variables
  • Automatic Macro Variables
  • User-defined Macro Variables
  • Macro Functions
  • SYMBOLGEN System Option
  • SQL Clauses for Macros
  • The %Macro Statement

Lesson 6: Basic Statistics

  • Descriptive Statistics
  • Inferential Statistics
  • Hypothesis testing
  • Non parametric tests

 

Lesson 7: Basic Statistical Procedures

  • PROC UNIVARIATE
  • PROC MEANS
  • PROC FREQ
  • PROC CORR
  • PROC REG
  • PROC ANOVA

Lesson 8: Data Exploration

  • Data Preparation
  • Data Type Conversion
  • Missing Value Treatment
  • Summarizing Data

Lesson 9: Advanced Statistical Techniques

  • Clustering

Introduction

Clustering Methodology

Data Preparation

K Means Clustering

Cluster Profiling

  • Decision Trees

Introduction

Creating Decision Trees

  • Linear Regression

Introduction

Linear Regression in SAS

Diagnostics

  • Logistic Regression

Introduction

Logistic Regression in SAS

Diagnostics

Lesson 10: Working with Time series Data

  • Reading Simple Time Series
  • Dating time series and working with SAS date and date time values
  • Sub setting data and selecting observations
  • Storing time series data in SAS data sets
  • Plotting, transforming, transposing, interpolating

Lesson 11: Data Optimization using SAS

  • Data Optimization
  • Creating optimization models commonly used in industry
  • Formulating and solving a data envelopment analysis
  • Solving optimization problems using the OPTMODEL procedure in SAS

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