Data Science with SAS Certification Training

Overview

The data science with SAS certification training is designed to impart an in-depth knowledge of SAS programming language, SAS tools, and various advanced analytics techniques. The training provides a solid base for implementing these techniques. The course is packed with real-life projects and case studies to give a hands-on and practical experience to the participants. Mastering SAS and related tools: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization. Mastering advanced analytics concepts: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it's modeling, and implementation using SAS. As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis.

Price (*ask for discount) 400 USD
Access period 180 days

Prerequisite list

  • There are no prerequisites for this course. The free SAS Base Programmer course provides some additional coding guidance.

Audience list

  • Analytics professionals who want to work with SAS
  • IT professionals looking for a career switch in the fields of analytics
  • Software developers interested in pursuing a career in analytics
  • Graduates looking to build a career in Analytics and Data Science
  • Experienced professionals who would like to harness data science in their fields

What is included

  • 24 hours of self-paced video.
  • 4 real-life industry projects on customer segmentation, retail analysis etc..
  • Learn SAS Macros and PROC SQL.
  • Includes advanced statistical concepts on regression, clustering and forecasting.
  • Includes a free SAS Base Programmer course.

Certification Info

  • How To Earn?  • Complete 85% of the course. • Complete 1 project and 1 simulation test with a minimum score of 60%.
  • How To Maintain?  N/A

Certification Exam Format

  • N/A

Retake policy

  • N/A.

Enrollment Policy

  • You should pay the online course fee then the online course access will be granted to you within 1 week after receiving payment.
  • Course fee payment is not refundable.

Frequently Asked Questions

Course Outline

Analytics Overview
  • Introduction
  • Introduction to Business Analytics
  • Types of Analytics
  • Areas of Analytics
  • Analytical Tools
  • Analytical Techniques
  • Quiz
  • Key Takeaways
Introduction to SAS
  • Introduction
  • What is SAS
  • Navigating in the SAS Console
  • SAS Language Input Files
  • DATA Step
  • PROC Step and DATA Step - Example
  • DATA Step Processing
  • SAS Libraries
  • Demo - Importing Data
  • Demo - Exporting Data
  • Knowledge Check
  • Assignment
  • Quiz
  • Key Takeaways
Combining and Modifying Datasets
  • Introduction
  • Why Combine or Modify Data
  • Concatenating Datasets
  • Interleaving Method
  • Knowledge Check 1
  • One - to - one Reading
  • One - to - one Merging
  • Knowledge Check 2
  • Data Manipulation
  • Modifying Variable Attributes
  • Assignment 1
  • Assignment 1 Solution
  • Assignment 2
  • Assignment 2 Solution
  • Activity
  • Quiz
  • Key Takeaways
PROC SQL
  • Introduction
  • What is PROC SQL
  • Retrieving Data from a Table
  • Demo - Retrieve Data from a Table
  • Knowledge Check 1
  • Selecting Columns in a Table
  • Knowledge Check 2
  • Retrieving Data from Multiple Tables
  • Selecting Data from Multiple Tables
  • Concatenating Query Results
  • Activity
  • Assignment 1
  • Assignment 1 Solution
  • Assignment 2
  • Assignment 2 Solution
  • Quiz
  • Key Takeaways
SAS Macros
  • Introduction
  • Need for SAS Macros
  • Macro Functions
  • Macro Functions Examples
  • SQL Clauses for Macros
  • Knowledge Check
  • The % Macro Statement
  • The Conditional Statement
  • Activity
  • Assignment
  • Assignment Solution
  • Quiz
  • Key Takeaways
Basics of Statistics
  • Introduction
  • Introduction to Statistics
  • Statistical Terms
  • Procedures in SAS for Descriptive Statistics
  • Demo - Descriptive Statistics
  • Knowledge Check 1
  • Hypothesis Testing
  • Variable Types
  • Hypothesis Testing - Process
  • Knowledge Check 2
  • Demo - Hypothesis Testing
  • Parametric and Non - parametric Tests
  • Parametric Tests
  • Non - parametric Tests
  • Parametric Tests - Advantages and Disadvantages
  • Quiz
  • Key Takeaways
Statistical Procedures
  • Introduction
  • Statistical Procedures
  • PROC Means
  • PROC Means - Examples
  • Knowledge Check 1
  • PROC FREQ
  • Demo - PROC FREQ
  • PROC UNIVARIATE
  • Demo - PROC UNIVARIATE
  • Knowledge Check 2
  • PROC CORR
  • PROC CORR Options
  • Demo - PROC CORR
  • PROC REG
  • PROC REG Options
  • Demo - PROC REG
  • Knowledge Check 3
  • PROC ANOVA
  • Demo - PROC ANOVA
  • Activity
  • Assignment 1
  • Assignment 1 Solution
  • Assignment 2
  • Assignment 2 Solution
  • Quiz
  • Key Takeaways
Data Exploration
  • Introduction
  • Data Preparation
  • General Comments and Observations on Data Cleaning
  • Knowledge Check
  • Data Type Conversion
  • Character Functions
  • SCAN Function
  • Date/Time Functions
  • Missing Value Treatment
  • Various Functions to Handle Missing Value
  • Data Summarization
  • Assignment
  • Assignment Solution
  • Quiz
  • Key Takeaways
Advanced Statistics
  • Introduction
  • Introduction to Cluster
  • Clustering Methodologies
  • Demo - Clustering Method
  • K Means Clustering
  • Knowledge Check
  • Decision Tree
  • Regression
  • Logistic Regression
  • Assignment 1
  • Assignment 1 Solution
  • Assignment 2
  • Assignment 2 Solution
  • Quiz
  • Key Takeaways
Working with Time Series Data
  • Introduction
  • Need for Time Series Analysis
  • Time Series Analysis — Options
  • Reading Date and Datetime Values
  • Knowledge Check 1
  • White Noise Process
  • Stationarity of a Time Series
  • Knowledge Check 2
  • Demo — Stages of ARIMA Modelling
  • Plot Transform Transpose and Interpolating Time Series Data
  • Assignment
  • Assignment Solution
  • Quiz
  • Key Takeaways
Designing Optimization Models
  • Introduction
  • Need for Optimization
  • Optimization Problems
  • PROC OPTMODEL
  • Optimization - Example 1
  • Optimization - Example 2
  • Assignment
  • Assignment Solution
  • Quiz
  • Key Takeaways
Project 1
  • Data-Driven Macro Calls
Project 2
  • Customer Segmentation with RFM Methodology
Project 3
  • Attrition Analysis
Project 4
  • Retail Analysis