- L1 - How to Get the Most out of the Course
- L2 - How to Install SAS University Edition for Free - Step by Step Guide
- L3 - Why use SAS (you may skip this introductory lecture)
Online
₹ 449 2,799
Quick facts
particular | details | |
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 449 ₹2,799
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
L1 - Course Introduction
Understanding the Workflow
- L4 - Overview
- L4 - The Workflow
- L4 - Ask Questions Wisely to Assist Project Planning
- L4 - SAS Basics
- L4 - SAS Basics
- L4 - Data Importing - Instream data and Proc Import
- L4 - Import Wizard for SAS 9.x
- L4 - Data Importing in SAS Studio
- L4 - Bring in Data from Pre-existing SAS Dataset and Create Permanent Dataset
- Project Part 1: Data importing - excel data (a must to the other assignments)
- Section Summary in Text
Data Manipulation - Naming Convention and IF THEN/ELSE Statement
- L5 - Overview
- L5 - Naming Convention and Variable Types
- L5 - Naming Convention and Variable Types
- L5 - IF THEN/ELSE Statement
- L5 - IF THEN/ELSE Statement
- L5 - Keep and Drop Variables
- L5 - Keep and Drop Variables
- Section Summary in Text
Data Manipulation - SAS Functions and DO Loop
- L6 - Overview
- L6 - SAS Functions
- L6 - SAS Functions
- L6 - DO Loop
- L6 - DO Loop
- Section Summary in Text
Dataset Manipulation - Subset and Append
- L7 - Overview
- L7 - Subset
- Use WHERE statement to subset data
- L7 - Concatenation (Append)
- Project Part 2: Concatenate 3 of the 4 datasets into one.
- Section Summary in Text
Dataset Manipulation - Merge and Transposition
- L8 - Overview
- L8 - Merge
- L8 - Merge
- Merge two datasets into a single dataset
- Project part 3: Merge two datasets
- L8 - Transpose
- Transpose the following data
- A comprehensive task using several techniques to subset, transpose data
- Section Summary in Text
Descriptive Statistics - Frequency and Univariate Analysis
- L9 - Overview
- L9 - Explore the Data Using PROC PRINT and CONTENTS Procedures
- L9 - Explore the Data Using PROC PRINT and CONTENTS Procedures
- L9 - Descriptive Statistics
- L9 - Descriptive Statistics
- Calculate the mean of the sample
- PROC FREQ
- Project Part 4: perform descriptive statistical analysis
- Section Summary in Text
One, Two Sample T-Test and ANOVA
- L10 - Overview and Introduction to Hypothesis Testing
- L10 - One Sample T-Test
- L10 - One Sample T-Test
- L10 - Two Sample T-Test
- L10 - Two Sample T-Test and paired T-Test
- L10 - 3+ Sample ANOVA
- L10 - 3+ Sample ANOVA
- L10 - Non-parametric Analysis
- A comprehensive assignment for hypothesis test
Linear Regression - Predicting the Outcome
- L11 - Overview
- L11 - Linear Regression
- Project Part 5: Use Linear Regression model to predict the MSRP
- L11 - Dummy Variable
- Project Part 6: Try to include some categorical variables into the model
- Thank You and Please Leave Your Comments for Future Improvement of the Course!
- Project Part 7: Some code examples for you to digest
Bonus section: Data Visualization using SAS
- Bonus Lecture: How to Draw Statistical Graphs using SAS
Source Codes
- Download source code of the course
- Discount: Giving out a Free Course!!!