Mastering SAS Programming: Become an expert in analytics techniques using SAS

Mastering SAS Programming: Become an expert in analytics techniques using SAS
Mastering SAS Programming: Become an expert in analytics techniques using SAS
English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 3h 59m | 750 MB

Master SAS for data analysis, data management, and regression.

SAS is one of the most popular applications for data analysis and is used widely in enterprises across various sectors such as finance, and healthcare. It holds the highest job market share of all analytics tools available today. If you have a basic SAS programming background and want to get into Data Analysis by mastering SAS and taking your skills to a different level, then this is the right course for you!

This course will help you become proficient in using SAS to handle data, build models, and analyze data so you can gain powerful insights quickly and easily. You will start with a quick refresher of basic SAS and then explore advanced statistical concepts (such as clustering and linear/logistic regression), decision trees, and time series analysis in-depth in SAS. You will also master SAS macros, PROC SQL procedures, and advanced SAS procedures so you can use SQL queries to manage and manipulate your data efficiently.

By the end of this video, you will be an expert in SAS programming and will have taken your skills to the next level. Also, you will be able to handle and manage your data-related problems very easily in SAS and build statistical models.

Learn

  • Gain an understanding of basic SAS, its GUI, libraries, and importing/exporting data
  • Use PROC SQL to fetch data from multiple tables by using JOINS
  • Explore the power of SAS macros and optimize code and for faster data manipulation
  • Gain an in-depth understanding of statistics in SAS to summarize and graph data and also draw inferences from it
  • Perform cluster analysis on a dataset by applying K-means clustering to understand the purpose of unsupervised Machine Learning in SAS
  • Build a decision-tree model to visually and explicitly represent decisions and decision making
  • Apply linear or logistic regression in SAS and build models for predictive analytics on sales data
  • Build a time series model to see patterns in data
  • Use ARIMA modeling to build a model and make forecasts
Table of Contents

Quick Refresher to Base SAS
1 The Course Overview
2 What is Business Analytics
3 Analytical Tools and Advantages of SAS
4 SAS Libraries and Importing Exporting Data
5 Combining and Merging Datasets
6 Data Manipulation

Accessing Data Using SQL
7 Introducing SQL
8 Retrieving Data from Single Table
9 Retrieving Data from Multiple Tables
10 PROC SQL Views

SAS Macros, Functions, and Programs
11 Introducing Macros
12 Macro Variables
13 Creating Automatic and User-Defined Macro Variables
14 Macro Functions
15 Macro Programs
16 Macros with SQL

Statistics in SAS
17 Introduction to Statistics
18 Statistical Terms
19 Types of Variables
20 Hypothesis Testing
21 Parametric and Non Parametric Tests
22 Procedures in SAS for Descriptive Statistics

Performing Cluster Analysis and Decision Trees
23 Introduction to Cluster
24 PROC CLUSTER
25 PROC CLUSTER Example
26 K-Means Clustering
27 Decision Trees

Performing Linear and Logistic Regression
28 Introduction to Regression
29 Linear Regression
30 Linear Regression Example
31 Logistic Regression

Working with Time Series Data
32 Need for Time Series Analysis
33 PROC TIMESERIES with E-Commerce Dataset
34 Time Series – Options
35 Time Series Patterns
36 ARIMA Model
37 ARIMA Model – Demo

Factor Analysis and Creating Custom Graphs
38 Introduction to Principal Factor Analysis
39 Principal Factor Analysis – Kaiser’s MSA and Factor Extraction
40 Creating Scatterplots and Line Graphs Using GPLOT
41 Creating Charts and Boxplots Using PROC GCHART and PROC BOXPLOT