Want to Drastically Improve Data Analytics Knowledge But Can’t Get Started?
Learn SAS Programming Secrets From An Industry Pro
Did you know that 92 of the top 100 companies on the 2018 Fortune 1000 use SAS?
This number is ever-growing, making data the key to any successful business venture. Demand for Big Data management applications is increasing as we push further into the digital frontier.
What does this mean for you?
Fun fact: SAS Enterprise Guide is most often used by companies with >10000 employees and >1000M dollars in revenue!
Pain is a far more powerful financial motivator than pleasure. Therefore, being qualified in SAS Programming gives you the tools to significantly and drastically increase your earning potential by solving problems for businesses and corporations.
No matter what software solution you use, the programming is the same. Learning SAS enables a company to go beyond the Graphical Interfaces of the individual SAS solutions to allow for flexible solutions for the particular situation faced.
Get DEEP SAS Understanding Knowledge Without Ever Leaving the Couch
Over a series of video lectures spanning 12 hours, you’ll discover practical and digestible SAS training that puts you a cut above your peers grinding on Udemy and other theoretical courses.
By the time you’re finished, you’ll be equipped with massive confidence and knowledge to start a new career or change your current one.
Hands-On Projects
The practical sessions in this course are what sets it apart. Apply your skills with hands-on projects that simulate real-world scenarios, and build a portfolio that showcases your job readiness to future employers.
Self-Paced Learning
You walk to the beat of your own dream, and this course is no different. Plug in from your favorite cafe or couch, and learn at your own pace, in your own time. There’s no set limit for when you need to reach completion.
Tailored Tutor Support
There is no one-glove-fits-all approach here. In times when you want to dive deeper than the video lessons, you’ll have access to online tutoring from the course creator. This type of 1 on 1 support accelerates your learning and understanding of SAS concepts.
Become a Value-Driven Programmer
Businesses need value to give you their trust in turn. By being able to transform data into intelligence, you’ll provide immense value in the marketplace and create more opportunities for financial gain and recognition in the field.
For Beginners & Advanced Students Alike
No prior degree or experience is necessary to benefit from this course. Whether you’re fresh-faced or more experienced in data analytics, you’ll find valuable pearls of wisdom that you can apply to your career.
Snag a Promotion
Looking to upskill and add even more value in the workplace? If your current company uses SAS, this course can help you raise the bar of expectation and earn a promotion.
Skills You’ll Obtain
✔️ SAS Data Step (a primary technique to create and manipulate data-sets)
✔️ SAS Proc Step
✔️ SAS SQL (a fit for those of you looking for SAS SQL training, as SAS SQL is the SAS implementation of SQL)
✔️ Macro Facility (more advanced topic)
✔️ SAS Indexes (more advanced topic)
✔️An Introduction to SAS Predictive Modeling (more specialized topic)
Fight Fear with The Fundamentals
SAS Programming can be intimidating - especially with the sheer amount of online courses that throw endless theory at you.
SAS Programming: From Zero to Hero turns the often intimidating and confusing world of Big Data into a fun, practical, and digestible learning experience that eliminates fear and gets you competent and confident in a matter of weeks.
Course Curriculum
First Section
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Section 2: Importing - SAS Import Data
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SAS Syntax, Data Step vs. Proc Step, SAS compared to R/Python
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Section 3: Working with Data
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Data Set Options
(4:39)
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What if your data is separated by a dot or something else? (delimiters)
(2:55)
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Reading data instream in data step (typing data right into coding area)
(5:09)
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Reading DATES in data
(6:02)
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Creating variables/Calculations
(4:01)
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More on Creating New Variables
(4:16)
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Automatic Variables
(3:57)
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Filtering Observations (so only some data show up)
(2:04)
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Intuition Decision and Loop Structures
(6:08)
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If-then Conditional Logic
(5:40)
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DO Iterative Loop and Variations (DO WHILE, DO Until)
(6:51)
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More on DO Group Processing (without index/counter variable)
(3:55)
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More on the WHERE Expression/Statement
(3:56)
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IF vs. WHERE
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Sorting Observations (PROC SORT and BY statements)
(3:21)
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Merging Two Data Sets
(3:33)
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Using SET statement to Merge
(3:41)
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Data Reduction and Cleaning your Data
(6:43)
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LENGTH statement
(8:08)
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Creating a Counting (Enumeration) Variable
(4:26)
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Quiz 2: Data Section Quiz
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Integration Assignment 0.5
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Solutions for Integration Assignment 0.5
Section 4: Input Types and Informats + User-defined formats
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Section 5: Arrays
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Section 6: SAS Functions
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SAS Functions Intuition
(9:16)
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RAND Function (producing a sample with distribution of your choi…37. RAND Function (producing a sample with distribution of your choice)
(5:29)
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LENGTH, LENGTHN, LENGTHC functions (are you working with a larg…
(6:56)
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TRIM function (want to get rid of trailing blanks?)
(2:54)
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COMPRESS Function (remove characters from string, and all types …40. COMPRESS Function (remove characters from string, and all types of blanks)
(3:53)
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Input and Put Functions
(7:42)
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CATX function
(3:15)
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SCAN function
(3:28)
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Coalesce function
(3:24)
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Verify function
(5:04)
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Substr function
(4:08)
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Quiz 4: Functions Quiz
Section 7: Assignments
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Section 8: Advanced Techniques - Flexibility and Efficiency
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Section 9: Visual representation of data
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Section 10: Statistical Analysis
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Section 11: Statistical Analysis - Part 2 (Linear and Multiple Regression)
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Section 12: Case Studies
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Section 13: SQL Fundamentals
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Section 14: SAS SQL and Joining
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Section 15: Working with Tables using SAS SQL
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Section 16: Practical Application of SAS SQL
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Section 17: Fundamentals of utilizing SAS Indexes
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Intro to Indexes/Indices
(1:56)
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Should you use an Index?
(2:01)
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Types of Indices
(2:01)
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Index Options
(1:45)
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Testing with Large Data-sets
(4:04)
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Selecting Variable(s) for your Index
(4:18)
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. PROC Data-sets and WHERE Expression
(5:59)
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BY Statement (Sorting variables, while exploiting your Index)
(3:59)
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Using PROC SQL to create Indices
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Creating an Index During Data Step Execution
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Deleting Indices
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Handling Common Tasks with an Indexed Data-set
(3:27)
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Updating the Master Data-Set with new variables or observations
(7:06)
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Assignment 3: Creating, Updating and Using Index Assignment
Section 18: Macro Facility Fundamentals
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Macro Facility Intro Article
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Types of Macro Variables
(4:46)
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Don't Lose Track of your Macro Variables
(2:31)
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Macro Variable Assignment Rules
(3:14)
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Masking Special Characters
(4:08)
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Macro Functions (%Index and %Upcase)
(3:58)
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Macro Functions 2 (%Scan)
(4:31)
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Creating a Macro variable (helps you modify data easier)
(3:50)
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Macro Programs Intro
(5:59)
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Creating a Macro Example 1 (greater flexibility, +useful for repetitive coding)
(8:08)
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Creating a Macro Example 1 (greater flexibility, +useful for repetiti…111. Creating a Macro Example 1 (greater flexibility, +useful for repetitive coding)
(8:13)
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Creating a Macro Example 2
(5:59)
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Creating a Macro Example 3 (unique sales reports for different days)
(5:59)
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Creating a Macro Example 4 (calculating average sales for multiple years)
(6:39)
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Debugging Options
(3:32)
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Storing Macros (External)
(4:23)
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Assignment 4: Macro Assignment 1
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Brainstorming for Logistic Macro Case Study
(4:57)
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Logistic Macro, Case Study, Part 1
(7:58)
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Logistic Macro, Case Study, Part 2
(7:14)
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Assignment 5: Logistic Macro Case Study Assignment
Section 19: SAS Predictive Modeling using Logistic Regression, Introdu…Section 19: SAS Predictive Mo
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Section 20: SAS Predictive Modeling, Understanding the Problem and the Data
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Section 21: SAS Predictive Modeling, Preparing the Input Variables
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Sources, Patterns and Mechanisms of Missing Data
(6:09)
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Evaluating Missing Data Patterns with SAS
(4:51)
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3 Phase Multiple Imputation Process using SAS
(11:42)
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Some additional code for PROC MI
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Considering the Output from PROC MI
(3:21)
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Mean, Mode and Median Imputation (Article, SAS Code)
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Oversampling and Adjusting for Oversampling
(9:42)
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Categorical Inputs
(8:47)
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Variable Clustering
(8:00)
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Multicollinearity
(5:17)
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Subset Selection
(6:32)
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Parameter Estimates
(2:13)
Section 22: SAS Predictive Modeling, Evaluation Metrics
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Instructor
Frequently Asked Questions
When does the course start and finish?
The course has no start-dates or end-dates. You start when you want, take breaks when you want, and can complete the course when you are able to.
How long do I have access to the course?
When you buy this course, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We offer a 30 day money back guarantee. If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
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