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    Statistical Data Analysis with SAS

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 3299

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 3,299
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    L1 - Course Introduction

    • 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)

    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!!!

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