SAS Base Certification Mastery: Learning by examples

SAS Base Certification Mastery: Learning by examples, available at $19.99, with 83 lectures, 6 quizzes, and has 6 subscribers.

You will learn about Prepare for SAS 9.4 Base Programming The course covers both fundamentals and base SAS exams Learn SAS by examples from reading data building reports including combining, subsetting, transforming Have access to many SAS examples practice questions for the base certification exam This course is ideal for individuals who are For people who want to prepare the certification; especially those people with no prior exposure to SAS or for people who already use SAS but struggle making sense of how it works or for those who are taking SAS classes, but have the sense they are not learning enough to be conformable with the program It is particularly useful for For people who want to prepare the certification; especially those people with no prior exposure to SAS or for people who already use SAS but struggle making sense of how it works or for those who are taking SAS classes, but have the sense they are not learning enough to be conformable with the program.

Enroll now: SAS Base Certification Mastery: Learning by examples

Summary

Title: SAS Base Certification Mastery: Learning by examples

Price: $19.99

Number of Lectures: 83

Number of Quizzes: 6

Number of Published Lectures: 83

Number of Published Quizzes: 6

Number of Curriculum Items: 89

Number of Published Curriculum Objects: 89

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

Prepare for SAS 9.4 Base Programming
The course covers both fundamentals and base SAS exams
Learn SAS by examples from reading data building reports including combining, subsetting, transforming
Have access to many SAS examples practice questions for the base certification exam

Who Should Attend

For people who want to prepare the certification; especially those people with no prior exposure to SAS
for people who already use SAS but struggle making sense of how it works
for those who are taking SAS classes, but have the sense they are not learning enough to be conformable with the program

Target Audiences

For people who want to prepare the certification; especially those people with no prior exposure to SAS
for people who already use SAS but struggle making sense of how it works
for those who are taking SAS classes, but have the sense they are not learning enough to be conformable with the program

In this course, you will learn the most essential notions that are covered under SAS Base Certification. The base certification is organized into two exams: (1) Programming Fundamentals Using SAS 9.4 and (2) Base Programming Using SAS 9.4. SAS certification exams have evolved in recent years to focus more on testing students ability to implement the notions learned. Typically, example data sets are given, questions are asked; then students are expected to answer those questions by manipulating the data with limited instructions. In the past, exams were mostly memory-based; they were designed to test students ability to remember the syntax and the rules of programming language.

We designed this course to focus more on comprehension over memory; specifically, for each notion covered, we try to answer the “WHAT”–what is it used for, “HOW”– how is it used, “WHY”– for each type of question, options available, strengths and, limitations, and “WHEN”–at what stage of data management stage is it used. The course is organized along the line of the expected steps a data manager or analyst needs to take to complete his/her task: (1) How to read the data? what tools are available for that purpose depending on the data source; (2) How to prepare the data prior analysis; (3) data management/analysis step. In short, for each essential notion we try to ensure that you have a contextual understanding of it: how to and when to use it. We also included a lot practice exercises, before and after each lesson.

Course Curriculum

Chapter 1: Needed materials

Lecture 1: What you need: Important materials

Chapter 2: Pre-Test

Chapter 3: Introduction

Lecture 1: Introduction

Chapter 4: SAS Components

Lecture 1: SAS Components

Lecture 2: 1.a. DATA STEP: Definition

Lecture 3: 1a.: Use case: Description

Lecture 4: 1.B.: DATA STEP: SAS illustration

Lecture 5: 1B.: Use Case, DATA STEP: Illustration

Lecture 6: 2.a.: PROC STEPS: Definition

Lecture 7: 2b,: DATA STEPS: Illustration

Lecture 8: 2b.: Use Case, PROC STEPS: Illustration

Lecture 9: 3a.: Macros: Definition

Lecture 10: 3b.: Macros: Illustration

Lecture 11: 3b: Use Case, Macros: Illustration

Lecture 12: GLOBAL STATEMENTS and GLOBAL OPTIONS: Definition and Illustration

Lecture 13: Summary: COMPONENTS

Lecture 14: Summary: Use Case, SAS COMPONENTS

Chapter 5: Section 3: SAS, some general rules and additional notions

Lecture 1: General Rules: Introduction

Lecture 2: General Rules: STEPS

Lecture 3: General Rules: Statements and options

Lecture 4: General Rules: SAS Naming rules:

Lecture 5: General Rules: Commenting SAS code

Chapter 6: Reading data into SAS

Lecture 1: Introduction: Methods for reading data into SAS

Lecture 2: Introduction: More on methods for reading data

Lecture 3: Introduction: ways for reading data into SAS

Lecture 4: Reading SAS data sets using LIBRARIES

Lecture 5: Reading EXCEL FILES using LIBRARIES

Lecture 6: Reading data: PROC IMPORT: Description

Lecture 7: Reading data: PROC IMPORT: Illustration

Lecture 8: Reading data: Using INPUT statement

Lecture 9: Permanent vs temporary data sets in SAS: Description

Lecture 10: Permanent vs temporary data sets: Illustration

Chapter 7: Exploring DATA in SAS

Lecture 1: Data exploration: Introduction

Lecture 2: PROC CONTENTS: Definition

Lecture 3: PROC CONTENTS: Describing variables or values

Lecture 4: PROC CONTENTS : User-defined format using VALUE STATEMENT

Lecture 5: PROC CONTENTS: User-defined formats, CNTLIN=option

Lecture 6: PROC CONTENTS: additional options under PROC CONTENTS

Lecture 7: PROC PRINT: Definition

Lecture 8: PROC PRINT: Illustration

Lecture 9: PROC FREQ: Definition

Lecture 10: PROC FREQ: Illustration

Lecture 11: PROC MEANS: Definition

Lecture 12: PROC MEANS: Illustration

Chapter 8: Combining data

Lecture 1: Combining data: Introduction

Lecture 2: Concatenating data: Definition

Lecture 3: Concatenating data: Illustration

Lecture 4: Merging data: Definition

Lecture 5: Merging data: Illustration

Chapter 9: Subsetting data

Lecture 1: Subsetting data: Introduction

Lecture 2: Subsetting data by columns: Definition

Lecture 3: Subsetting data by columns: Illustration

Lecture 4: Subsetting by rows: Definition

Lecture 5: Subsetting by Rows: Illustration

Chapter 10: Data Transformation

Lecture 1: Data transformation: Introduction

Lecture 2: Creating variables: variable assignment and/or Length statements: Definition

Lecture 3: Creating variables: variable assignment and/or Length statements: Illustration

Lecture 4: Creating variables: addition operator or SUM function: Definition

Lecture 5: Creating variables: addition operator or SUM function: Illustration

Lecture 6: Creating variables: Character functions

Lecture 7: Creating variables: numeric functions

Lecture 8: Creating variables: Dates functions: Definition

Lecture 9: Creating variables: Dates functions: Illustration

Lecture 10: Creating variables: Conditional statements: Definition

Lecture 11: Creating variables: Conditional statements: Illustration

Lecture 12: Data Transformation: User-defined formats

Lecture 13: Accumulating data: Definition

Lecture 14: Accumulating data: Illustration

Lecture 15: DO LOOPS

Lecture 16: PROC TRANSPOSE: Definition

Lecture 17: PROC TRANSPOSE: Illustration

Lecture 18: Data conversion

Chapter 11: Data Processing

Lecture 1: Data Processing: Introduction

Lecture 2: Data Processing: Example 1

Lecture 3: Data Processing: Example 2

Lecture 4: Program data vector

Lecture 5: Program Data vector: length statement

Lecture 6: Program Data Vector: Output vs RUN

Lecture 7: Program Data Vector: WHERE vs IF

Chapter 12: Macros

Lecture 1: %LET STATEMENT for creating macro variables

Chapter 13: Error Handling

Lecture 1: Error handling

Chapter 14: Building reports

Instructors

Kado Yeo
Statistician

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