Complete SAS Bootcamp
Complete SAS Bootcamp, available at $74.99, has an average rating of 3.75, with 92 lectures, 7 quizzes, based on 245 reviews, and has 1460 subscribers.
You will learn about Be equipped with the powerful SAS language to start an amazing data analysis career Learn by analyzing real world projects: Retail Store Revenue, Stock Market, Car Sales, and Basketball players Master how to import and merge data, clean your data, and use conditional logic Learn how to generate statistics such as mean value, median value, and standard deviation Be ready to work in Finance and Pharmaceutical industries that requires SAS programming skills Be able to perform linear regression to analyze data Be able to create charts and plots for data (visualization) Apply Macro Programming skills to write efficient SAS programs This course is ideal for individuals who are Beginners who have never used SAS before. or Analysts switching software package to SAS. or Intermediate SAS programmers who want to level up their skills! or Students who wants to work in the finance industry. or This course is not for advanced SAS users. It is particularly useful for Beginners who have never used SAS before. or Analysts switching software package to SAS. or Intermediate SAS programmers who want to level up their skills! or Students who wants to work in the finance industry. or This course is not for advanced SAS users.
Enroll now: Complete SAS Bootcamp
Summary
Title: Complete SAS Bootcamp
Price: $74.99
Average Rating: 3.75
Number of Lectures: 92
Number of Quizzes: 7
Number of Published Lectures: 91
Number of Published Quizzes: 7
Number of Curriculum Items: 99
Number of Published Curriculum Objects: 98
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Be equipped with the powerful SAS language to start an amazing data analysis career
- Learn by analyzing real world projects: Retail Store Revenue, Stock Market, Car Sales, and Basketball players
- Master how to import and merge data, clean your data, and use conditional logic
- Learn how to generate statistics such as mean value, median value, and standard deviation
- Be ready to work in Finance and Pharmaceutical industries that requires SAS programming skills
- Be able to perform linear regression to analyze data
- Be able to create charts and plots for data (visualization)
- Apply Macro Programming skills to write efficient SAS programs
Who Should Attend
- Beginners who have never used SAS before.
- Analysts switching software package to SAS.
- Intermediate SAS programmers who want to level up their skills!
- Students who wants to work in the finance industry.
- This course is not for advanced SAS users.
Target Audiences
- Beginners who have never used SAS before.
- Analysts switching software package to SAS.
- Intermediate SAS programmers who want to level up their skills!
- Students who wants to work in the finance industry.
- This course is not for advanced SAS users.
Legal notice: This course uses a commercial license from WPS SAS Programming. Anyone interested in full information, visit our disclaimer at the bottom. Thank you!
—————————————————————
==>本课程也有中文版,您可以在我的Instructor Profile中找到《跟着分析师一起学SAS》。
Multiple real-work projects will help you practice what you learn in the course!
Welcome! Let this course help you obtain SAS certification!
—————————————————————
Students Love This Course
This course is taught by an HSBC Insurance Analyst on SAS Base Programmingand will equip you with skills to become a SAS Analyst.
This is the most comprehensive, yet straightforward, course for the SAS software on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of SAS, this course is for you! We will teach you the SAS syntax and practice your skills in real-world case studies!
—————————————————————
Why This Course is Enjoyed by Students?
-
Fast and clear explanations.This course teaches you the SAS programming skills that are absolutely necessary.
-
Hands on experience. This course use more than 5 real-world projects so you can learn how to apply SAS programming in practice.
-
Taught by expert.I draw from my work experience as an Analyst, and teach you what SAS procedures are the most importantones.
We cover topics from basic skills such as import and export data to advanced SQL and Macro programming.
—————————————————————
Look at the 5-star Reviews!
“This class is perfect for my intended mission – to learn SAS as much as I can within a few days to competently answer interview questions. This class will not teach you theory or go deeply behind best practices, but will get you out being able to turn out the most desired tricks in SAS. “
— P Nice
“i like the quizzesafter each lecture, very informative, instead of a waste of time. As a master student, I am required to use SAS in our statistic course, but our statistics professor is not going to cover SAS programming in class, so, here I am. Hopefully I can finish the course assignments and get a good score. I even have helped a few classmates on SAS programming!!! “
— Li Wenyi
“This was a great beginner for SAS! The instructor was very clear and made it easy to follow along with the SAS programs. The hands-on exercises were particularly helpful in understand and getting practice with SAS. “
— Sarah Meadows
“It has something for everyone, whether you are a beginner at SAS or a seasoned ‘vet’ like myself. Alan also responds very quickly when you have a question! “
— Lee Collins
—————————————————————
If you take this course, in addition to the Udemy 30-day money back guarantee, you have my personal guarantee that you will love what you learn in this course. If you ever have any questions please feel free to message us directly and we will do our best to get back to you as soon as possible!
You will get lifetime access to over 60 lectures plus corresponding Notebooks and handouts for the lectures!
Jobs in data analysis, especially financial analysis, are plentiful. If big companies have a must-know requirement on statistic software, it is going to be SAS. Being able to know SAS will give you strong background to dive deeper into data analysis faithfully.
So what are you waiting for? Learn SAS in a way that will advance your career and increase your knowledge!
This course will not remain this price forever! It’s time to act!
Click the “take this course” button at the top right now!
See you in the course!
DISCLAIMER
We are not in any way affiliated or associated with SAS Institute. We do not provide, nor do we endorse, a download of SAS University edition for your learning purposes, nor do we personally use SAS software, or SAS logos. We do not link to SAS website, nor do we link to any SAS content, nor do we have screen shots of any of their assets, nor do we distribute it, nor do we suggest it’s ours.
We use a commercial license from WPS. The system I use, WPS, is in no way associated with SAS System. Furthermore, whenever you see the phrases “SAS”, “SAS Language” and “language of SAS” used in the course content this refers to the computer programming language. If you see phrases like “program”, “SAS program”, “SAS language program” used in my course, this is used to refer to programs written in the SAS language. These may also be referred to as “scripts”, “SAS scripts” or “SAS language scripts”.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Course Content
Lecture 3: WPS and SAS
Lecture 4: Choose Software
Lecture 5: Download WPS
Lecture 6: Install WPS
Lecture 7: Interface Arrangement
Lecture 8: Using WPS Workbench
Lecture 9: Course Materials
Lecture 10: Download Course Materials
Chapter 2: Import Data
Lecture 1: Import Text File into SAS
Lecture 2: Import Excel into SAS
Lecture 3: Import CSV into SAS
Lecture 4: Enter Data within Program
Lecture 5: Export SAS Data
Chapter 3: Working with Data
Lecture 1: Print Data
Lecture 2: Create Columns
Lecture 3: Remove Columns
Lecture 4: IF-Else Condition
Lecture 5: Sort SAS Data
Lecture 6: Combine SAS Data
Lecture 7: SAS Comments
Lecture 8: SAS Library
Lecture 9: Homework 001
Lecture 10: Homework Solution 001
Chapter 4: Analysing Data – Basics
Lecture 1: Report Data Contents
Lecture 2: Report Data Statistics (Average, Maximum, etc.)
Lecture 3: Correlation Analysis
Chapter 5: Analysing Data – Advanced
Lecture 1: What is Regression?
Lecture 2: Simple Regression
Lecture 3: Understanding Results
Lecture 4: Regression Options
Lecture 5: Multiple Regression
Lecture 6: Interpreting Results
Lecture 7: Making Predictions
Lecture 8: Regression Review
Chapter 6: Visualization
Lecture 1: Why is Data Visualization Useful?
Lecture 2: Scatter Plot
Lecture 3: Series Plot
Lecture 4: Bar Plot and Pie Plot
Lecture 5: Overlaying Plots
Chapter 7: Working with SQL
Lecture 1: What is SQL?
Lecture 2: SQL Select Columns
Lecture 3: SQL Count Statement
Lecture 4: SQL Distinct Statement
Lecture 5: SQL Group Statement
Lecture 6: SQL Create Table
Lecture 7: SQL Left Join
Chapter 8: Case Studies
Lecture 1: Case Study 00 : Revenue Prediction
Lecture 2: Case Study 00: Solution – Part 1
Lecture 3: Case Study 00 : Solution – Part 1
Lecture 4: Case Study 00 : Notes
Lecture 5: Case Study 01 : Baseball Player
Lecture 6: Case Study 01 : Solution
Lecture 7: Case Study 01 : Notes
Lecture 8: Case Study 02 : Car Sales Analysis
Lecture 9: Case Study 02 : Solution
Lecture 10: Case Study 02 : Notes
Lecture 11: Case Study 03 : Stock Market
Lecture 12: Case Study 03 : Solution
Lecture 13: Case Study 03 : Notes
Lecture 14: Case Study 04 : Real estate
Lecture 15: Case Study 04 : Solution
Lecture 16: Case Study 04 : Notes
Chapter 9: SAS Macro
Lecture 1: What is SAS Macro?
Lecture 2: SAS Macro Variable
Lecture 3: SAS Macro Function
Chapter 10: Dive Into SAS Dates
Lecture 1: What is SAS Dates?
Lecture 2: Human Readable Dates
Lecture 3: Create Dates
Lecture 4: Convert String to Dates
Lecture 5: Calculations on Dates
Lecture 6: Move Dates by Month or Year
Lecture 7: Extract Day, Month, or Year
Lecture 8: SAS Dates in Practice
Chapter 11: Dive Into SAS Character Variables
Lecture 1: What is Character/String Variable
Lecture 2: Length of String
Lecture 3: Concatenate Strings
Lecture 4: Concatenation Functions
Lecture 5: Text Alignment Functions
Lecture 6: Convert Text Cases
Lecture 7: Remove Blanks From String
Instructors
-
Alan Y
Data Analytics / BI Reporting
Rating Distribution
- 1 stars: 14 votes
- 2 stars: 8 votes
- 3 stars: 30 votes
- 4 stars: 83 votes
- 5 stars: 110 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024