4.8
별점
831개의 평가

Stacey Syphus

25,361명이 이미 등록했습니다.

제공자:

SAS

이 강좌에 대하여

최근 조회 74,619회

This course is for business analysts and SAS programmers who want to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the Getting Started with SAS Programming course and is not recommended for beginning SAS software users.
In this course you learn how to understand and control DATA step processing, create an accumulating column and process data in groups, manipulate data with functions, convert column type, create custom formats, concatenate and merge tables, process repetitive code, and restructure tables. This course addresses Base SAS software.

Before attending this course, you should be able to write DATA step code to access data, subset rows and columns, compute new columns, and process data conditionally. You should also be able to sort tables using the SORT procedure and
apply SAS formats.

유연한 마감일

일정에 따라 마감일을 재설정합니다.

공유 가능한 수료증

완료 시 수료증 획득

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

중급 단계

완료하는 데 약 25시간 필요

영어

자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 영어, 스페인어

유연한 마감일

일정에 따라 마감일을 재설정합니다.

공유 가능한 수료증

완료 시 수료증 획득

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

중급 단계

완료하는 데 약 25시간 필요

영어

자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 영어, 스페인어

강사

강사 평가

4.84/5 (160개의 평가)

Stacey Syphus

제공자:

SAS

Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

강의 계획표 - 이 강좌에서 배울 내용

콘텐츠 평가96%(3,040개의 평가)

주

주 1

완료하는 데 24분 필요

Course Overview and Data Setup

In this module you get an overview of what you learn in this course and you set up the software and data you use for activities and practices in the course.

완료하는 데 24분 필요

2개 동영상 (총 1분), 3 개의 읽기 자료

완료하는 데 2시간 필요

Controlling DATA Step Processing

In this module, we dig deeper into the DATA step. You learn how the DATA step processes data behind the scenes. Then you use this knowledge to control when and where the DATA step outputs rows to new tables.

완료하는 데 2시간 필요

14개 동영상 (총 23분), 1 개의 읽기 자료, 9 개의 테스트

14개의 동영상

Overview15

DATA Step Review30

DATA Step Processing55

DATA Step Processing: Compilation3m

DATA Step Processing: Execution1m

Demo: DATA Step Processing in Action5m

Viewing Execution in the Log1m

Controlling DATA Step Processing1m

Implicit and Explicit Output1m

Sending Output to Multiple Tables26

Demo: Directing Row Output3m

Controlling Column Output30

Demo: Directing Column Output3m

Columns in the PDV36

1개의 읽기 자료

Syntax Review10m

9개 연습문제

Activity 1.0110m

Activity 1.0210m

Practice: Using PUTLOG Statements to Examine Execution Steps20m

Activity 1.0310m

Activity 1.0410m

Question 1.055m

Level 1 Practice: Conditionally Creating Multiple Output Tables20m

Level 2 Practice: Conditionally Creating Columns and Output Tables20m

Controlling DATA Step Processing

주

주 2

완료하는 데 3시간 필요

Summarizing Data

In this module, you learn new syntax that enables you to alter the default behavior of the DATA step to solve a problem. First you learn to create an accumulating column, or in other words generate a running total. Then you learn to process data in groups, so you can perform an action when each group begins or ends.

완료하는 데 3시간 필요

10개 동영상 (총 19분), 1 개의 읽기 자료, 11 개의 테스트

10개의 동영상

Overview20

Demo: Creating an Accumulating Column3m

Retaining Values in the PDV1m

Using the Sum Statement58

Answering Questions about Groups42

Processing Sorted Data in Groups1m

Demo: Identifying the First and Last Row in Each Group4m

Subsetting Rows in the Execution Phase2m

Demo: Creating an Accumulating Column within Groups2m

Using Multiple BY Columns1m

1개의 읽기 자료

Syntax Review10m

11개 연습문제

Activity 2.0110m

Question 2.025m

Level 1 Practice: Producing a Running Total20m

Level 2 Practice: Producing Multiple Totals20m

Activity 2.0310m

Activity 2.0410m

Activity 2.0510m

Question 2.065m

Level 1 Practice: Generating an Accumulating Column within Groups20m

Level 2 Practice: Generating an Accumulating Column within Multiple Groups20m

Summarizing Data50m

주

주 3

완료하는 데 6시간 필요

Manipulating Data with Functions

In this module, you learn to use some new functions that enable you to manipulate numeric, date, and character values. In addition, you learn to use functions that change a column from one data type to another.

완료하는 데 6시간 필요

24개 동영상 (총 40분), 5 개의 읽기 자료, 18 개의 테스트

24개의 동영상

Overview15

Review of Functions44

Specifying Columns Lists1m

Using a CALL Routine to Modify Data1m

Using Numeric Functions1m

Demo: Using Numeric Functions2m

SAS Date, Datetime, and Time Values53

Extracting Data from a Datetime Value29

Calculating Date Intervals2m

Shifting Date Values50

Demo: Shifting Date Values Based on an Interval3m

Useful Character Functions53

Extracting Words from a String58

Demo: Using Character Functions to Extract Words from a String3m

Searching for Character Strings51

Replacing Character Strings27

Handling Column Type35

Converting Column Type1m

Converting Character Values to Numeric Values1m

Using a Generic Informat to Read Dates1m

Converting the Type of an Existing Column1m

Converting Numeric Values to Character Values1m

Demo: Using the INPUT Function to Convert Column Types7m

Demo: Using the PUT Function to Convert Column Types3m

5개의 읽기 자료

Using Numeric Functions to Change Precision10m

Removing Characters from a String10m

Identifying Character Positions10m

Building Character Strings10m

Syntax Review10m

18개 연습문제

Activity 3.0110m

Activity 3.0210m

Activity 3.0310m

Activity 3.0410m

Question 3.055m

Level 1 Practice: Using the LARGEST and ROUND Functions20m

Level 2 Practice: Working with Date/Time Values20m

Activity 3.0610m

Activity 3.0710m

Activity 3.0810m

Activity 3.0910m

Level 1 Practice: Using the SCAN and PROPCASE Functions20m

Level 2 Practice: Searching for Character Strings20m

Activity 3.1010m

Activity 3.1110m

Question 3.125m

Activity 3.1310m

Manipulating Data with Functions50m

주

주 4

완료하는 데 4시간 필요

Creating and Using Custom Formats

In this module, you learn to create and use custom formats to enhance the way your data is displayed in a table or report.

완료하는 데 4시간 필요

8개 동영상 (총 16분), 1 개의 읽기 자료, 10 개의 테스트

8개의 동영상

Overview9

Formatting Data Values28

Creating and Applying a Custom Format2m

Using Ranges1m

Demo: Creating and Using Custom Formats3m

Reading a Table of Values for a Format2m

Demo: Creating Custom Formats from Tables4m

Storing Custom Formats1m

1개의 읽기 자료

Syntax Review10m

10개 연습문제

Activity 4.0110m

Activity 4.0210m

Activity 4.0310m

Level 1 Practice: Creating Custom Formats Based on Single Values20m

Level 2 Practice: Creating Custom Formats Based on a Range of Values20m

Activity 4.0410m

Activity 4.0510m

Level 1 Practice: Creating a Custom Format from a Table20m

Level 2 Practice: Using Conditional Processing to Create a Format from a Table20m

Creating and Using Custom Formats50m

주

주 5

완료하는 데 3시간 필요

Combining Tables

In this module, we take a comprehensive look at combining tables by using the DATA step. You learn to concatenate tables, merge tables, and identify matching and nonmatching rows.

완료하는 데 3시간 필요

14개 동영상 (총 28분), 1 개의 읽기 자료, 10 개의 테스트

14개의 동영상

Overview17

Concatenating Tables with Matching Columns1m

Demo: Concatenating Tables3m

Handling Column Attributes45

What is a Merge?1m

Processing a One-to-One Merge2m

Processing a One-To-Many Merge1m

Demo: Merging Tables3m

Merging Tables with Nonmatching Rows2m

Identifying Matches and Nonmatches1m

Demo: Merging Tables with Nonmatching Rows6m

Merging Tables with Matching Column Names1m

Merging Tables without a Common Column1m

DATA Step Merge and PROC SQL Join38

1개의 읽기 자료

Syntax Review10m

10개 연습문제

Activity 5.0110m

Level 1 Practice: Concatenating Like-Structured Tables20m

Level 2 Practice: Concatenating Unlike-Structured Tables20m

Question 5.025m

Activity 5.0310m

Question 5.045m

Activity 5.0510m

Level 1 Practice: Performing a One-to-Many Merge20m

Level 2 Practice: Writing Matches and Nonmatches to Separate Tables20m

Combining Tables50m

주

주 6

완료하는 데 3시간 필요

Processing Repetitive Code

In this module, you learn to save time by taking advantage of iterative processing with DO loops. First you learn to create an iterative DO Loop, then you learn to create conditional DO loops.

완료하는 데 3시간 필요

11개 동영상 (총 25분), 1 개의 읽기 자료, 7 개의 테스트

11개의 동영상

Overview13

Processing Repetitive Code50

Iterative DO Loops2m

Demo: Executing an Iterative DO Loop2m

Output Inside and Outside the DO Loop2m

Demo: Using Iterative DO Loops5m

Conditional DO Loops1m

Checking the Condition1m

Demo: Using Conditional DO Loops4m

Combining Iterative and Conditional DO Loops1m

Demo: Combining Iterative and Conditional DO Loops3m

1개의 읽기 자료

Syntax Review10m

7개 연습문제

Activity 6.0110m

Level 1 Practice: Using Nested Iterative DO Loops (DATA Step with No SET Statement)20m

Level 2 Practice: Using an Iterative DO Loop (DATA Step with a SET Statement)20m

Activity 6.0210m

Level 1 Practice: Using a Conditional DO Loop20m

Level 2 Practice: Using an Iterative and Conditional DO Loop20m

Processing Repetitive Code50m

주

주 7

완료하는 데 3시간 필요

Restructuring Tables

In this module, you learn techniques that can be used to transpose or restructure a table. First you learn to restructure data with the DATA step. Then you learn to restructure data by using the TRANSPOSE procedure.

완료하는 데 3시간 필요

10개 동영상 (총 12분), 1 개의 읽기 자료, 9 개의 테스트

10개의 동영상

Overview14

Understanding Table Structure46

Restructuring Data36

Demo: Creating a Narrow Table with the DATA Step2m

Creating a Wide Table with the DATA Step44

The Transpose Procedure24

Transposing Values within Groups48

Demo: Creating a Wide Table with PROC TRANSPOSE4m

Creating a Narrow Table with PROC TRANSPOSE27

Changing Column Names59

1개의 읽기 자료

Syntax Review10m

9개 연습문제

Question 7.015m

Activity 7.0210m

Level 1 Practice: Restructuring a Table Using the DATA Step: Wide to Narrow20m

Level 2 Practice: Restructuring a Table Using the DATA Step: Narrow to Wide20m

Activity 7.0310m

Activity 7.0410m

Level 1 Practice: Restructuring a Table Using PROC TRANSPOSE: Wide to Narrow20m

Level 2 Practice: Restructuring a Table Using PROC TRANSPOSE: Narrow to Wide20m

Restructuring Tables50m

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4.8

143개의 리뷰

5 stars
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12.55%
3 stars
1.65%
1 star
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