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30-Day Money-Back Guarantee
Business Business Analytics & Intelligence SAS

SAS Training by Reviewing and Solving Certificate Questions

Comprehensive SAS course: learning knowledge and skills, solving questions and passing exams
Rating: 4.3 out of 54.3 (196 ratings)
1,119 students
Created by Datagist INC
Last updated 5/2017
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • understand concepts in SAS basics
  • perform data manipulation, exploration and analysis using SAS
  • acquire SAS knowledge and skills to pass certificate exam
  • master SAS programming to solve real world problems
  • learn SAS while solving different types of questions
  • get rich study materials in learning and practicing

Requirements

  • Basic computer skills
  • Intention to learn

Description

If you need a comprehensive SAS  course that helps you

1) pass SAS certificate exam;

2) master SAS programming by solving 101 questions;

3) understand how SAS codes are working;

4) walk through each question by patient interpretation ;

5) practice and review SAS examples by yourself using my handout; 

6) extend SAS knowledge and skills beyond these 101 questions

Then this course is right for you. I am using a special but effective teaching method in this course. You are not just leaning SAS knowledge and skills, but also examining yourself by solving each question! You are not just seeking the correct solution, but also figuring out why other answers are incorrect.

I will show you both theories in slides and code implementation in programming interface. With the questions, multiple choices, code interpretation, examples and data sets I provided, you will be able to start SAS programming efficiently and confidently pass certificate exam! 

Who this course is for:

  • Anyone who wishes to learn data analysis using SAS
  • Beginners who want to learn SAS and pass certificate exams
  • Anyone who needs to learn 'why' by slower-pace interpretation
  • Anyone who likes to learn while solving questions

Course content

2 sections • 104 lectures • 10h 31m total length

  • Preview05:32
  • SAS installation, version and environment
    08:14

  • Teaching approach (with PDF downloadable)
    05:06
  • Know SAS library and current folder
    04:48
  • Preview03:06
  • Learn set statement, _n_ and logical operators in SAS
    07:18
  • Know if statement to restrict or subset SAS data sets
    02:46
  • Understand output statement, do loop structure
    05:31
  • Know page number setting for SAS procedure output
    01:20
  • Learn SAS format to display data as you want
    04:18
  • How to input data from data step using position input
    04:45
  • Learn data input using DSD, how to input missing values
    06:10
  • How to use filename statement in SAS for data input and output
    03:20
  • Rename methods and how it affects other operations
    06:52
  • About date type, data conversion, functions and informat
    06:38
  • Understand data line holding, strongly holding and training sign @
    04:51
  • Understand holding, strong holding and trailing
    03:51
  • Learn in operator, if then statement
    11:15
  • Learn output statement, merge statement
    04:12
  • Understand set statement, (in=) and if statement
    02:25
  • Test sort and merge data sets in SAS
    04:09
  • Learn relational merging data sets
    06:12
  • Learn sorting data, nodupkey option
    04:22
  • Understand ranuni() function and random sampling
    06:15
  • Preview06:12
  • Setting multiple data sets in one data step
    05:47
  • Learn date type data and operations
    06:26
  • Learn date format and date operations
    07:39
  • Concatenate string, date type, input() and put() functions
    07:03
  • Compbl() function, do loop and output statement
    05:01
  • Test date function -- weekday()
    02:35
  • Understand how to use informat in reading date and missing values
    08:53
  • Know how to save observations into external files
    07:49
  • data _null_, put statement, infile statement and DSD option
    05:57
  • Test variable expression, logical expression
    06:20
  • About usages of the keep statements
    06:58
  • Learn the output about proc contents
    06:50
  • Learn statements and options in proc datasets
    03:15
  • Understand functionality of proc flist
    01:16
  • Delete data in the library
    04:34
  • Understand array and data transformation
    06:37
  • Learn SAS array and its relationship with variables
    04:09
  • Extract variables with a specified data type using array
    05:14
  • Learn how to transform data set using data step
    12:59
  • Use array and summarized function in data step
    06:51
  • Understand usage of SAS array in data step
    02:54
  • About proc sort and its nodupkey option
    07:30
  • Know how to use data step to get cumulative data
    10:50
  • Knowledge about do loop, output and return statements
    08:01
  • Know how to use _error_ and error handling method in SAS
    07:11
  • Understand merging data sets by consistent order
    03:20
  • Learn round() function in data step
    07:47
  • Understand missing value and logical operation
    06:52
  • How to use lag and dif function in SAS
    10:22
  • Understand date format and relationship with string
    06:13
  • Test how to use proc format to create format used in data step
    08:59
  • Learn how to create format based on numerical range
    08:49
  • Test your understanding about proc means
    06:47
  • Understand by and class statements in proc means
    01:27
  • About debug option and usage in data step
    01:13
  • Data conversion: substr(), input() and put() functions
    08:17
  • Understand the concept about SAS macro _error_
    03:43
  • Define valid library
    02:45
  • Read data based on position, informat and modifier
    09:56
  • Understand firstobs, obs options in SAS data step and procedures
    04:18
  • Understand firstobs and obs options (2)
    06:05
  • Read raw data into SAS table from external files
    04:22
  • Test output, _n_ and if..else statements in one data step
    04:01
  • Know SAS format definition and location
    04:04
  • Test how to use do while and break condition
    04:44
  • Understand how to use label statement in data step
    03:09
  • Know how to apply cat() and catx() functions
    06:16
  • Learn string function: finding positions in a string
    04:24
  • Learn how to split data based on coditions
    05:33
  • Use array and create missing values
    07:24
  • Use array and create missing values (2)
    04:21
  • Use array to create variables in data step
    04:11
  • Understand logical conditions in if statements
    04:43
  • Learn how to apply multiple filters based on several if statements
    05:55
  • Understand date, character types in data step
    10:07
  • Learn how to apply universal string matching to query data
    09:30
  • Apply proc means to create descriptive statistics and output
    10:10
  • Apply proc means to create descriptive statistics and output (2)
    04:12
  • Apply proc freq and obtain the intended output
    11:39
  • Create two ways frequency cross tab and intended output
    07:51
  • Understand options in proc report
    08:03
  • How to apply ODS in SAS to create intended output
    09:13
  • Getting resulting table based on if then filters
    06:56
  • Use if...else if statement
    05:30
  • Debug syntax errors in data step
    03:55
  • Understand trailing symbols used to read data
    10:25
  • Data type conversion using put() function
    06:37
  • Data tytpe conversion (2)
    03:13
  • Keep and drop variables in data step
    05:48
  • Use single trailing to conditionally read data
    08:21
  • Transpose data, create cumulative data using retain statement
    16:01
  • About data error and log
    04:40
  • Correctly use firstobs and obs option in SAS procedures
    05:11
  • Apply composite functions in data step
    05:40
  • Apply eof option in SAS data step
    00:58
  • How to split data in one column when reading raw data
    09:56
  • Understand output containing descriptive statistics in proc means
    09:35
  • Understand how SAS variables are listed
    04:14
  • Learn how to merge two tables with different manners
    05:55

Instructor

Datagist INC
teacher
Datagist INC
  • 4.2 Instructor Rating
  • 464 Reviews
  • 2,863 Students
  • 4 Courses

We are a group of data analytics experts involved in different industry fields -- finance, marketing, health, telecommunication and entertainment. We all have at least Master Degree of Science in computer science, mathematics and business. We all have very rich experience in education. 

Our goal is to educate persons who wish to learn various data analytics knowledge, skills and tools. We are always seeking innovative methods in delivering what we know.  

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