16 modules presenting short reproducable, illustrated and commented examples to help SAS users in their data engineering and reporting activities, based on 10 year experience in clinical research.
Who is it for?
From beginner to advanced level
How much does it cost ?
Duration: Permanent online access OneDrive
Format: PDF (16 modules i.e. > 1400 pages)
Price: 500€ Ex-VAT/User.
Lunch-and-Learn Resources - Bonus
Lunch-and-Learn bonus is only available with the order of 10 licenses of WeCode companion.
Run your own Lunch-and-Learn sessions using our resources:
Slides with key learnings and related SAS program files
Activities to challenge your team and learn from it
Tip sheet
Lunch-and-Learn Resources: Output Express
OutputExpress bonus helps SAS users to be confortable with ODS outputs.
How can I save my SAS tables as datasets?
How can I include/exclude specific outputs from the active destinations?
How can I save graph outputs as images ?
Resources: 20 slides, 5 activities and 1 tip sheet.
Video Access - Add-On
One year online access to the videos on proc sql, macro language and all three reporting modules
Duration: One Year Online Access
Content: >150 videos i.e. > 11h
Price :100€ Ex-VAT/User/Year
Testimonial
Module 1 - Introduction
Chapter 1: Welcoming from the Course Author
Chapter 2: Identifying Your SAS System Version and Other Useful Information for Your CV
Chapter 3: Running your First Program in SAS® Studio and Getting Familiar with Your Programming Interface
Chapter 4: Saving a Dataset Permanently and Understanding the Concepts of Member and Library
Chapter 5: Understanding the Concepts of Global Statement, Data Step, Procedure, and so on
Module 2 - Metadata & Other Key Concepts
Chapter 1: Creating a Dataset and a View – Methods Overview
Chapter 2: Listing Table and Variable Attributes
Chapter 3: Adding Titles and Footnotes
Chapter 4: Getting Familiar with Bit/Bytes, Hexadecimal Values and ASCII Table
Module 3 - Data Handling 1
Chapter 1: Dealing with SAS Date, SAS Time and SAS Datetime
Chapter 2: Discovering Common Functions, Series 1
Module 4 - Data Handling 2
Chapter 1: Selecting Observations and Variables
Chapter 2: Sorting Data and Managing Duplicates using proc sort
Chapter 3: Creating a Counter using retain and Temporary Variables
Chapter 4: Discovering Common Functions, Series 2
Module 5 - Data Handling 3
Chapter 1: Appending Several Datasets
Chapter 2: Merging Several Datasets
Module 6 - Statistics and Graphics 1
Chapter 1: proc means by Example
Chapter 2: Understanding Common Descriptive Statistics
Chapter 3: Creating Your First Graph: Box-and-Whisper Plot
Module 7 - proc sql
Chapter 1: Using proc sql with One Dataset
Chapter 2: Using proc sql with Several Datasets
Module 8 - Macro Language
Chapter 1: Creating a Macro Variable and Displaying Its Value
Chapter 2: Getting Familiar with a Few Macro Functions
Chapter 3: Getting Started with Macros
Module 9 - Reporting 1
Chapter 1: Using proc report with a Listing Destination
Module 10 - Data Handling 4
Chapter 1: proc transpose by Example
Chapter 2: Discovering Common Functions, Series 3
Module 11 - External Files 1
Chapter 1: Generating a Text File using the file Statement
Chapter 2: Reading a Text File using the infile Statement
Chapter 3: Working with a Transport File
Module 12 - Reporting 2
Chapter 1: Creating Reports using the Output Delivery System
Module 13 - Reporting 3
Chapter 1: Creating an Excel File using ods excel
Module 14 - Statistics and Graphics 2
Chapter 1: proc freq by Example
Chapter 2: Creating a Barchart using proc sgplot
Module 15 - External Files 2
Chapter 1: Exporting Data using Engine/proc export (xlsx/excel)
Chapter 2: Importing Data using Engine/proc import (xlsx/excel)