Course Summary
Learn the basics of SAS programming and data analysis in this beginner-friendly course. Develop your skills in data manipulation, sorting, filtering, and more while working with real-world datasets.Key Learning Points
- Gain a solid understanding of the SAS programming language and its applications in data analysis
- Learn how to use SAS software to manipulate and analyze large datasets
- Develop your skills in data cleaning, sorting, filtering, and summarizing
Job Positions & Salaries of people who have taken this course might have
- USA: $65,000 - $95,000
- India: INR 4,00,000 - INR 7,00,000
- Spain: €30,000 - €40,000
- USA: $65,000 - $95,000
- India: INR 4,00,000 - INR 7,00,000
- Spain: €30,000 - €40,000
- USA: $70,000 - $100,000
- India: INR 5,00,000 - INR 8,00,000
- Spain: €35,000 - €45,000
- USA: $65,000 - $95,000
- India: INR 4,00,000 - INR 7,00,000
- Spain: €30,000 - €40,000
- USA: $70,000 - $100,000
- India: INR 5,00,000 - INR 8,00,000
- Spain: €35,000 - €45,000
- USA: $90,000 - $140,000
- India: INR 8,00,000 - INR 15,00,000
- Spain: €40,000 - €60,000
Related Topics for further study
Learning Outcomes
- Understand the fundamentals of SAS programming language
- Develop skills to manipulate and analyze large datasets
- Learn how to clean, sort, filter, and summarize data
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics and mathematics
- Access to SAS software
Course Difficulty Level
BeginnerCourse Format
- Online
- Self-paced
Similar Courses
- Data Analysis with R
- Python for Data Science
- SQL for Data Analysis
Related Education Paths
Related Books
Description
This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.
Outline
- Course Overview and Data Setup
- Welcome to the Course!
- Demo: Programming in SAS
- Practicing in This Course
- Learner Prerequisites
- Using Forums and Getting Help
- Access SAS Software and Set Up Practice Files (REQUIRED)
- Essentials
- Overview
- SAS Programming Interfaces
- Demo: Programming with SAS Studio
- SAS Program Structure
- SAS Program Syntax
- Demo: Understanding SAS Program Syntax
- Demo: Finding and Resolving Syntax Errors
- Practice Using SAS Studio
- Syntax Review
- Activity 1.01
- Activity 1.02
- Essentials
- Accessing Data
- Overview
- Types of Data
- What is a SAS Table?
- Required Column Attributes for SAS Tables
- Listing Table and Column Attributes
- Accessing Data in a Program
- Using a Library to Read SAS Data
- Automatic SAS Libraries
- Demo: Exploring Automatic SAS Libraries
- Using a Library to Read Other File Types
- Demo: Using a Library to Read Excel Files
- Importing Unstructured Data
- Demo: Importing a Comma-Delimited (CSV) File
- Importing an Excel File
- Syntax Review
- Question 2.01
- Activity 2.02
- Activity 2.03
- Activity 2.04: Create a Library for This Course (Required)
- Activity 2.05
- Activity 2.06
- Level 1 Practice: Importing Excel Data from a Single Worksheet
- Level 2 Practice: Importing Data from a CSV File
- Accessing Data
- Exploring and Validating Data
- Overview
- Exploring Data with Procedures
- Demo: Exploring Data with SAS Procedures
- Filtering Rows with the WHERE Statement
- Combining Expressions in a WHERE Statement
- Demo: Filtering Rows with Basic Operators
- Using Special WHERE Operators
- Creating and Using Macro Variables
- Demo: Filtering Rows Using Macro Variables
- Formatting Data Values in Results
- Common Formats for Numeric Values
- Common Formats for Date Values
- Demo: Formatting Data Values in Results
- Sorting Data
- Identifying and Removing Duplicates
- Demo: Identifying and Removing Duplicate Values
- Syntax Review
- Activity 3.01
- Level 1 Practice: Exploring Data with Procedures
- Level 2 Practice: Using Procedures to Validate Data
- Activity 3.02
- Activity 3.03
- Level 1 Practice: Filtering Rows in a Listing Report Using Character Data
- Level 2 Practice: Using Macro Variables to Subset Data in Procedures
- Activity 3.04
- Activity 3.05
- Activity 3.06
- Level 1 Practice: Sorting Data and Creating an Output Table
- Level 2 Practice: Sorting Data to Remove Duplicate Rows
- Exploring and Validating Data
- Preparing Data
- Overview
- Using the DATA Step to Create a SAS Data Set
- DATA Step Processing
- Demo: Working with the DATA Step
- Demo: Using Expressions to Create New Columns
- Using Numeric Functions to Create Columns
- Demo: Using Character Functions
- Demo: Using Date Functions
- Demo: Conditional Processing with IF-THEN
- Conditional Processing with IF-THEN/ELSE
- Creating Character Columns with the LENGTH Statement
- Processing Multiple Statements with IF-THEN/DO
- Demo: Processing Multiple Statements with IF-THEN/DO
- Common Summary Functions for Creating Columns
- Common Character Functions for Creating Columns
- Common Date Functions for Creating Columns
- Syntax Review
- Question 4.01
- Question 4.02
- Activity 4.03
- Level 1 Practice: Creating a SAS Table
- Level 2 Practice: Subsetting by Multiple Conditions and Creating a Sorted SAS Table
- Activity 4.04
- Activity 4.05
- Activity 4.06
- Level 1 Practice: Creating New Columns
- Level 2 Practice: Creating New Columns with Character and Date Functions
- Activity 4.07
- Activity 4.08
- Activity 4.09
- Level 1 Practice: Processing Statements with IF-THEN/ELSE
- Level 2 Practice: Processing Statements Conditionally with DO Groups
- Preparing Data
- Analyzing and Reporting on Data
- Overview
- Using Titles and Footnotes
- Using Macro Variables and Functions in Titles and Footnotes
- Applying Temporary Labels to Columns
- Segmenting Reports
- Demo: Enhancing Reports
- Applying Permanent Labels to Columns
- Demo: Creating Frequency Reports and Graphs
- Demo: Creating Two-Way Frequency Reports
- Demo: Creating a Summary Statistics Report
- Creating an Output Summary Table
- Examples of Procedures that Analyze Data
- Syntax Review
- Activity 5.01
- Activity 5.03
- Activity 5.04
- Level 1 Practice: Creating One-Way Frequency Reports
- Level 2 Practice: Creating Two-Way Frequency Reports
- Activity 5.05
- Activity 5.06
- Level 1 Practice: Producing a Descriptive Statistics Report
- Level 2 Practice: Creating an Output Table with Custom Columns
- Analyzing and Reporting on Data
- Exporting Results
- Overview
- Exporting Data
- Demo: Exporting Data to an Excel Workbook
- Using the SAS Output Delivery System
- Exporting Results to CSV
- Demo: Exporting Results to Excel
- Exporting Results to PowerPoint and Microsoft Word
- Demo: Exporting Results to PDF
- Create a Macro Variable (REQUIRED)
- Activity: Create PowerPoint and RTF Files
- Syntax Review
- Activity 6.01
- Activity 6.02
- Activity 6.03
- Level 1 Practice: Creating an Excel File Using ODS EXCEL
- Level 2 Practice: Creating a Document with ODS RTF
- Exporting Results
- Using SQL in SAS
- Overview
- SQL and SAS
- PROC SQL Syntax
- Filtering and Sorting Output
- Demo: Reading and Filtering Data with SQL
- Creating and Deleting Tables in SQL
- Creating Inner Joins in SQL
- Demo: Joining Tables with PROC SQL
- Using Table Aliases
- You've Finished the Course!
- Syntax Review
- Activity 7.01
- Activity 7.02
- Activity 7.03
- Using SQL in SAS
Summary of User Reviews
Read reviews about SAS Programming Basics course on Coursera. The course has received positive feedback from users. They have found it to be informative, engaging and helpful in learning the basics of SAS programming.Key Aspect Users Liked About This Course
Many users thought that the course was well-structured and easy to follow.Pros from User Reviews
- Clear and concise explanations of SAS programming concepts.
- Hands-on exercises and quizzes to reinforce learning.
- Good pacing and progression of topics.
- Great for beginners who want to learn SAS programming basics.
- Instructors are knowledgeable and responsive to questions.
Cons from User Reviews
- Some users felt that the course lacked advanced topics.
- A few technical glitches encountered during the course.
- Access to SAS software can be expensive for some users.
- Not suitable for those who already have a good understanding of SAS programming.
- Limited interaction with other students.
Stacey Syphus
4.8 Raiting
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