SAS Programming from Scratch & Practice Case Studies workout
3.6 (161 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
906 students enrolled

SAS Programming from Scratch & Practice Case Studies workout

Learn SAS programming through data workout. See sorting, merging, appending, graphs, tabulate, statistical procedure etc
3.6 (161 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
906 students enrolled
Last updated 7/2019
English
English
Current price: $11.99 Original price: $19.99 Discount: 40% off
2 days left at this price!
30-Day Money-Back Guarantee
This course includes
  • 4.5 hours on-demand video
  • 5 articles
  • 42 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to 4,000+ top Udemy courses anytime, anywhere.

Try Udemy for Business
What you'll learn
  • Create their SAS program comfortably
  • Import, sort, merging, append, derived variable creation etc
  • Conduct analysis on categorical data as well as numeric data
  • Create basic Bar chart, Pie Chart, Stacked Bar Chart etc.
  • Create pivot table kind of report
  • Conduct regression, chi square, ANOVA analysis
Requirements
  • Basic computer skills
  • Internet Connectivity - throughout the course
Description

Learn SAS programming from industrial usage perspective. SAS is one of the most used tool for data science, analytics and statistical analysis domain. This course is designed to give you good start on SAS programming quickly. The course has following highlights

  • Getting free access to SAS
  • Importing data
  • Getting basic feel of data- through contents, print, freq, univariate 
  • Data operations like merge, append, sort, truncate – rows / columns wise, 
  • derive new fields, 
  • analysis for each class 
  • Graphs – vertical bar chart / pie charts / stacked charts 
  • Statistical procedure
  • Title and labels for enhancements
  • Tabulate for pivot table kind of work
  • Putting together analysis with ODS HTML and colorful title
  • proc transpose to transpose the data
  • proc compare to compare datasets



The course content in detail is as follows

----------------------------------------------------------------------------------

Section 1 : Getting access to SAS and understand SAS environment

----------------------------------------------------------------------------------

  • Getting free access to learn SAS
  • Get familiar with SAS environment

Understand what is

  1. Program editor
  2. Log window
  3. Output window
  4. Library etc.



----------------------------------------------------------------------------------

Section 2 : Most used data operations in SAS

----------------------------------------------------------------------------------

  • Get familiar with the  Data for workout
  • Import data in SAS
  • Viewing Meta Data
  • Viewing Data

Understand various options to print









  1. Few records starting from a particular observation
  2. Few columns / all columns
  3. precaution
  • Direct data entry in SAS
    1. How to be careful for character format
  • Frequency Distribution for categorical variables

Understand

  1. Various parts of the output
  2. Default and quantity based sorting order
  3. Storing proc freq output into a SAS dataset
  4. Why one should avoid proc freq for numeric variable
  • Numeric Variable Analysis

Understand

  1. Proc Univariate and Proc Means
  2. Advantages of both the approaches
  3. Requesting few statistics only in the output
  • Sorting Data

Understand

  1. How to sort on the basis of one variable / two variables
  2. How to keep original data as it is and store sorted data in a new dataset
  3. How to sort data in descending order
  4. How to remove duplicates
  5. What is first. and last. option and how to use it
  • Merging n Dealing with missing data

Understand

  1. What is merging data
  2. What are the Pre requisites of merging data
  3. What is left join, right join and equi join
  4. How to do various kinds of join
  5. How is missing value represented for numeric and character variable
  6. Syntax for replacing missing value for a numeric variable
  7. Syntax for replacing missing value for a character variable
  • Appending datasets

Understand

  1. What is appending datasets?
  2. How to append data?
  3. What happens when datsets have different columns and still you want to append it?
  • Derive New field
  1. Write if else logic to create a derived field
  2. Learn to use OR operator
  3. Understand how to define length for proper display of variable
  • Arithmetic Logical n comparison Operators
  1. Get to know the different Arithmetic, Logical and Comparison operators we have
  2. Demo of how to use them for the whole data set
  3. Also see how to keep only those records, which meets certain criteria
  • Truncating data rows n columns wise
  1. Learn how to keep or drop few fields from a given dataset
  2. Learn to keep or delete few records meeting certain criteria
  • Part of string using Substr
  1. Understand the syntax for substring
  2. See the workout example
  • in operator
  1. Understand the usage of in operator
  2. See the demo to understand how does it make it easy to compare multiple string in one go
  • CrossTab using SAS

Understand

  1. How to create cross tab in SAS?
  2. How to interpret the output
  3. How to supress some statistics from the result?
  • Numeric Variable Analysis for each class
  1. Understand how to conduct analysis for each distinct value of a particular categorical variable easily using class statement
  • dealing with dates
  1. Understand date 9 format
  2. The usage of mdy function to create date
  3. Find days / years spend between two dates
  4. Use round function to get nicely formatted value
  • Proc SQL n Fetching data from database
  1. Understand the utility of Proc SQL
  2. Understand the process of getting data from databases using proc SQL



----------------------------------------------------------------------------------

Section 3 : Statistical procedures and report enhancements

----------------------------------------------------------------------------------

  • Conducting linear regression analysis using SAS
  1. Understand how to conduct linear regression analysis using SAS
  2. How to get the regression equation, coefficient of determination etc.
  3. How to interpret coefficient of determination
  4. How to make out, it is a positive or negative relationship
  • Conducting Chi square analysis using SAS
  1. Understand how to get chi square statistics for contingency table
  2. How to make sense of degree of freedom, chi square statistics, p value etc.
  • Conducting one way ANOVA analysis  using SAS
  1. Learn the syntax of ANOVA analysis using SAS
  2. Learn to interpret the box plot appearing with ANOVA analysis
  3. Learn to make sense of p value of ANOVA
  • Graphs in SAS

Learn to

  1. Create vertical bar chart
  2. Create horizontal bar chart
  3. How to get just the percentage or freq, percent all
  4. How to create stacked bar chart (where bars of numeric variable can show distribution of a categorical variable)
  5. How to create a pie chart
  6. Difference between proc gchart and proc chart
  7. How to create chart of a numeric variable for each class separately
  • Title and Label
  1. How to put specific title above the print / graph output etc.
  2. How does title 1 and title 2 differ
  3. What is label
  4. What is the use of these title and label statement
  • Proc tabulate - pivot table in SAS
  1. Understand the syntax of proc tabulate
  2. See proc tabulate and Excel pivot table side by side
  • ODS HTML to package the output and rich text title (bold, colorful)
  • Proc transpose to transpose the data
  • Proc compare to compare datasets

------------------------

Section 4 - Practice Case Studies - apply your knowledge to solve business problems

--------------------------------

Who this course is for:
  • People trying to learn SAS
  • People trying to become comfortable in SAS
Course content
Expand all 65 lectures 04:45:17
+ Introduction to the course and getting ready to work on SAS
4 lectures 13:32

How to register and get access to SAS for academics (online). It doesn't require any installation and works through internet browser only.

Getting free access to SAS
03:30

Understand what is

  • Program editor
  • Log window
  • Output window
  • Library etc.
Understand SAS environment
06:31
How to get best out of the course
01:23
+ SAS syntax and data workout
21 lectures 01:45:46
Preamble to Data and download SAS code and data for the exercise
01:54
Import data in SAS
05:26
FAQ - data import issues
00:20

Meta data is data about data

Preview 03:52

Understand various options to print

  • Few records starting from a particular observation
  • Few columns / all columns
  • Precaution
View Data
03:40
How to be careful for character format
Direct data entry in SAS
03:25

Understand

  • Various parts of the output
  • Default and quantity based sorting order
  • Storing proc freq output into a SAS dataset
  • Why one should avoid proc freq for numeric variable
Analyze categorical variable - Frequency Distribution for categorical variables
04:01

Understand

  • Proc Univariate and Proc Means
  • Advantages of both the approaches
  • Requesting few statistics only in the output
Preview 05:29

Understand

  • How to sort on the basis of one variable / two variables
  • How to keep original data as it is and store sorted data in a new dataset
  • How to sort data in descending order
  • How to remove duplicates
  • What is first. and last. option and how to use it
Sorting datasets
11:57

Understand

  • What is merging data
  • What are the Pre requisites of merging data
  • What is left join, right join and equi join
  • How to do various kinds of join
  • How is missing value represented for numeric and character variable
  • Syntax for replacing missing value for a numeric variable
  • Syntax for replacing missing value for a character variable
Merging data and missing value replacement
12:21

Understand

  • What is appending datasets?
  • How to append data?
  • What happens when datsets have different columns and still you want to append it?
Appending datasets
03:17
  • Write if else logic to create a derived field
  • Learn to use OR operator
  • Understand how to define length for proper display of variable
Derive New field
08:57
  • Get to know the different Arithmetic, Logical and Comparison operators we have
  • Demo of how to use them for the whole data set
  • Also see how to keep only those records, which meets certain criteria
Arithmetic Logical n comparison Operators
07:00
  • Learn how to keep or drop few fields from a given dataset
  • Learn to keep or delete few records meeting certain criteria
Truncating data rows n columns wise
04:57
  • Understand the syntax for substring
  • See the workout example
Preview 03:03
  • Understand the usage of in operator
  • See the demo to understand how does it make it easy to compare multiple string in one go
Replace the need of multiple conditions using - in operator
02:54

Understand

  • How to create cross tab in SAS?
  • How to interpret the output
  • How to suppress some statistics from the result?
CrossTab of categorical variables
03:35
Understand how to conduct analysis for each distinct value of a particular categorical variable easily using class statement
Numeric Variable Analysis for each class
02:34
  • Understand date 9 format
  • The usage of mdy function to create date
  • Find days / years spend between two dates
  • Use round function to get nicely formatted value
dealing with dates
08:03
  • Understand the utility of Proc SQL
  • Understand the process of getting data from databases using proc SQL
Proc SQL n Fetching data from database
06:13
Revisit the syntax through quiz
12 questions
+ Other SAS procedure - for statistical analysis, graphs, tabulate & enhancements
12 lectures 01:00:31
FAQ for statistical topic
00:16
  • Understand how to conduct linear regression analysis using SAS
  • How to get the regression equation, coefficient of determination etc.
  • How to interpret coefficient of determination
  • How to make out, it is a positive or negative relationship
    for more detail on linear regression - please feel free to refer to 


    https://www.youtube.com/watch?v=MLMXX1yLe_Q&index=6&list=PLrJ0D2kemSl6Y1n40GWDoHCxZy7XTBI58


Conducting linear regression analysis using SAS
03:57
  • Understand how to get chi square statistics for contingency table
  • How to make sense of degree of freedom, chi square statistics, p value etc.
    for more detail on chi square distribution - please feel free to refer to

    https://www.youtube.com/watch?v=IrZOKSGShC8&index=7&list=PLrJ0D2kemSl7-7fm7TQX57lK9FxfI04ub


Conducting Chi square analysis using SAS
04:35
  • Learn the syntax of ANOVA analysis using SAS
  • Learn to interpret the box plot appearing with ANOVA analysis
  • Learn to make sense of p value of ANOVA
    for more detail on one way ANOVA, please feel free to refer to
    https://www.youtube.com/watch?v=xFoX8KXYhTQ&index=9&list=PLrJ0D2kemSl7-7fm7TQX57lK9FxfI04ub
Conducting one way ANOVA analysis using SAS
02:38

Learn to

  • Create vertical bar chart
  • Create horizontal bar chart
  • How to get just the percentage or freq, percent all
  • How to create stacked bar chart (where bars of numeric variable can show distribution of a categorical variable)
  • How to create a pie chart
  • Difference between proc gchart and proc chart
  • How to create chart of a numeric variable for each class separately
Graphs in SAS
06:12
  • How to put specific title above the print / graph output etc.
  • How does title 1 and title 2 differ
  • What is label
  • What is the use of these title and label statement
Enhance SAS output readability using Title and Label
03:18
Proc tabulate - pivot table in SAS
15:45
ODS html to package analysis and Colorful / Bold titles for better readability
03:43
Proc transpose to transpose your data
05:05
Time to check learning again
5 questions
+ Practice Case Studies - apply your knowledge to solve business problems
28 lectures 01:45:26
A 1: Find new in list B (B-A) stuff
05:28
A 1s: Supplementary content on formatting the variable before B-A
02:54
Q 2: Variable Substring Challenge
02:21
A 2: Variable Substring Challenge
11:20
Q 3: Investigate linear relationship between variables
02:26
A 3: Investigate linear relationship between variables
08:38
A 4:Tabular report in presence of 2 class variable & different statistics neede
03:32
Q 5s: Little help about seasonality and pair T test for next problem
00:38
Q 5: Pair T Test in presence of seasonality
02:14
A 5: Pair T Test in presence of seasonality
03:56

If you need to refresh about chi square test of independence, please refer to this link https://www.youtube.com/watch?v=IrZOKSGShC8

Q 6: Calculate red car percentage for different age group & run chi square test
02:50
A 6: Calculate red car percentage for different age group & run chi square test
05:38
Q 7: Calculate relative variance (Coefficient of Variance)
00:58
A 7: Calculate relative variance (Coefficient of Variance)
03:02
A 8: Work with date and create stacked chart
08:53
Q 9: Using SQL within SAS for agreegate function based complexities
05:00
A 9 Part1: Understand SQL syntax for the job
02:52
A 9 Part2: Using SQL within SAS for agreegate function based complexities
02:43
Q 10: Customized complex text for each row (row wise max/min and field name)
02:32
A 10: Customized complex text for each row (row wise max/min and field name)
06:12
Master SAS - How to master R now?
00:30
Closing note
01:30