pgp-data-science-with-sas

PGP - Data Science with SAS

• Lesson 00 - Course Introduction

  04:21Preview

  • 0.001 Introduction

    04:21

• Lesson 01 - Analytics Overview

  11:51Preview

  • 1.001 Introduction

    00:55

  • 1.002 Introduction to Business Analytics

    02:04

  • 1.003 Types of Analytics

    02:39

  • 1.004 Areas of Analytics

    02:46

  • 1.005 Analytical Tools

    00:50

  • 1.006 Analytical Techniques

    01:46

  • 1.008 Key Takeaways

    00:51

  • Knowledge Check

• Lesson 02 - Introduction to SAS

  19:43Preview

  • 2.001 Introduction

    00:40

  • 2.002 What is SAS

    02:34

  • 2.003 Navigating in the SAS Console

    01:47

  • 2.004 SAS Language Input Files

    01:55

  • 2.005 Data Step

    00:56

  • 2.006 PROC Step and DATA Step - Example

    01:44

  • 2.007 DATA Step Processing

    03:51

  • 2.008 SAS Libraries

    03:00

  • 2.009 Demo - Importing Data

    01:15

  • 2.010 Demo - Exporting Data

    00:59

  • 2.011 Knowledge Check

  • 2.012 Assignment

  • 2.13 Quiz

  • 2.014 Key Takeaways

    01:02

  • Knowledge Check

• Lesson 03 - Combining and Modifying Datasets

  36:04Preview

  • 3.001 Introduction

    00:29

  • 3.002 Why Combine or Modify Data

    00:55

  • 3.003 Concatenating Datasets

    08:14

  • 3.004 Interleaving Method

    03:05

  • 3.005 Knowledge Check 1

  • 3.006 One - to - one Reading

    03:09

  • 3.007 One - to - one Merging

    02:57

  • 3.008 Knowledge Check

  • 3.009 Data Manipulation

    06:51

  • 3.010 Modifying Variable Attributes

    03:57

  • 3.011 Assignment 1

    00:31

  • 3.012 Assignment 1 Solution

    01:04

  • 3.013 Assignment 2

    00:23

  • 3.014 Assignment 2 Solution

    03:50

  • 3.015 Quiz

  • 3.016 Key Takeaways

    00:39

• Lesson 04 - PROC SQL

  25:54Preview

  • 4.001 Introduction

    00:35

  • 4.002 What is PROC SQL

    01:56

  • 4.003 Retrieving Data from a Table

    02:07

  • 4.004 Demo - Retrieve Data from a Table

    01:44

  • 4.005 Knowledge Check 1

  • 4.006 Selecting Columns in a Table

    04:28

  • 4.007 Knowledge Check

  • 4.008 Retrieving Data from Multiple Tables

    00:50

  • 4.009 Selecting Data from Multiple Tables

    03:36

  • 4.010 Concatenating Query Results

    02:28

  • 4.011 Assignment 1

    01:35

  • 4.012 Assignment 1 Solution

    01:47

  • 4.013 Assignment 2

    01:30

  • 4.014 Assignment 2 Solution

    02:13

  • 4.015 Quiz

  • 4.016 Key Takeaways

    01:05

• Lesson 05 - SAS Macros

  19:16Preview

  • 5.001 Introduction

    00:41

  • 5.002 Need for SAS Macros

    04:39

  • 5.003 Macro Functions

    01:41

  • 5.004 Macro Functions Examples

    03:03

  • 5.005 SQL Clauses for Macros

    00:59

  • 5.006 Knowledge Check

  • 5.007 The Macro Statement

    01:27

  • 5.008 The Conditional Statement

    01:24

  • 5.009Assignment

    01:09

  • 5.010 Assignment Solution

    03:29

  • 5.011 Quiz

  • 5.012 Key Takeaways

    00:44

• Lesson 06 - Basics of Statistics

  21:27Preview

  • 6.001 Introduction

    00:42

  • 6.002 Introduction to Statistics

    02:31

  • 6.003 Statistical Terms

    02:29

  • 6.004 Procedures in SAS for Descriptive Statistics

    02:04

  • 6.005 Demo - Descriptive Statistics

    01:10

  • 6.007 Hypothesis Testing

    02:01

  • 6.008 Variable Types

    01:56

  • 6.009 Hypothesis Testing - Process

  • 6.010 Demo - Hypothesis Testing

    01:45

  • 6.011 Parametric and Non - parametric Tests

    00:51

  • 6.012 Parametric Tests

    03:05

  • 6.013 Non - parametric Tests

    00:46

  • 6.014 Parametric Tests - Advantages and Disadvantages

    01:10

  • 6.015 Quiz

  • 6.016 Key Takeaways

    00:57

• Lesson 07 - Statistical Procedures

  32:47Preview

  • 7.001 Introduction

    00:44

  • 7.002 Statistical Procedures

    00:27

  • 7.003 PROC Means

    01:12

  • 7.004 PROC Means - Examples

    04:05

  • 7.005 PROC FREQ

    01:56

  • 7.006 Demo - PROC FREQ

    01:23

  • 7.007 PROC UNIVARIATE

    02:16

  • 7.008 Demo - PROC UNIVARIATE

    01:27

  • 7.009 Knowledge Check

  • 7.010 PROC CORR

    01:21

  • 7.011 PROC CORR Options

    00:57

  • 7.012 Demo - PROC CORR

    02:21

  • 7.013 PROC REG

    01:14

  • 7.014 PROC REG Options

  • 7.015 Demo - PROC REG

    01:43

  • 7.016 Knowledge Check 3

  • 7.017 PROC ANOVA

    01:30

  • 7.018 Demo - PROC ANOVA

    02:55

  • 7.019 Assignment 1

    01:34

  • 7.020 Assignment 1 Solution

    02:36

  • 7.021 Assignment 2

    01:03

  • 7.022 Assignment 2 Solution

    01:08

  • 7.023 Quiz

  • 7.026 Key Takeaways

    00:55

• Lesson 08 - Data Exploration

  21:46Preview

  • 8.001 Introduction

    00:41

  • 8.002 Data Preparation

    02:15

  • 8.003 General Comments and Observations on Data Cleaning

    00:43

  • 8.004 Knowledge Check

  • 8.005 Data Type Conversion

    04:39

  • 8.006 Character Functions

    01:37

  • 8.007 SCAN Function

    01:17

  • 8.008 DateTime Functions

    01:52

  • 8.009 Missing Value Treatment

    01:50

  • 8.010 Various Functions to Handle Missing Value

    01:06

  • 8.011 Data Summarization

    01:22

  • 8.012 Assignment

    01:13

  • 8.013 Assignment Solution

    02:23

  • 8.014 Quiz

  • 8.015 Key Takeaways

    00:48

• Lesson 09 - Advanced Statistics

  26:26Preview

  • 9.001 Introduction

    00:41

  • 9.002 Introduction to Cluster

    03:30

  • 9.003 Clustering Methodologies

    01:47

  • 9.004 Demo - Clustering Method

    03:07

  • 9.005 K Means Clustering

    02:06

  • 9.006 Knowledge Check

  • 9.007 Decision Tree

    04:01

  • 9.008 Regression

    04:47

  • 9.009 Logistic Regression

    01:13

  • 9.010 Assignment 1

  • 9.011 Assignment 1 Solution

    01:44

  • 9.012 Assignment 2

    00:51

  • 9.013 Assignment 2 Solution

    01:48

  • 9.014 Quiz

  • 9.015 Key Takeaways

    00:51

• Lesson 10 - Working with Time Series Data

  26:25Preview

  • 10.001 Introduction

    00:45

  • 10.002 Need for Time Series Analysis

    03:43

  • 10.003 Time Series Analysis — Options

    01:57

  • 10.004 Reading Date and Datetime Values

    02:47

  • 10.005 White Noise Process

    03:57

  • 10.006 Stationarity of a Time Series

    03:21

  • 10.007 Knowledge Check

  • 10.008 Demo — Stages of ARIMA Modelling

    05:47

  • 10.009 Plot Transform Transpose and Interpolating Time Series Data

    01:05

  • 10.010 Assignment

  • 10.011 Assignment Solution

    02:09

  • 10.12 Quiz

  • 10.013 Key Takeaways

    00:54

• Lesson 11 - Designing Optimization Models

  18:59Preview

  • 11.001 Introduction

    00:36

  • 11.002 Need for Optimization

    02:32

  • 11.003 Optimization Problems

    02:52

  • 11.004 PROC OPTMODEL

    04:18

  • 11.005 Optimization - Example 1

    03:16

  • 11.006 Optimization - Example

    02:26

  • 11.007 Assignment

    01:30

  • 11.008 Assignment Solution

    00:32

  • 11.9 Quiz

  • 11.010 Key Takeaways

    00:57