What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
Article
Instructor: Packt - Course Instructors
Included with
Recommended experience
Beginner level
This course helps SAS Enterprise Guide users transition to coding, ideal for beginners and those seeking SAS certification or employment in top firms
Recommended experience
Beginner level
This course helps SAS Enterprise Guide users transition to coding, ideal for beginners and those seeking SAS certification or employment in top firms
Identify the syntax and structure of SAS programming.
Explain the differences between data step and proc step in SAS.
Use SAS functions to manipulate and analyze datasets.
Compare SAS operations with R and Python for data analysis tasks.
Add to your LinkedIn profile
October 2024
9 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
This course is designed to transform you from a beginner to a proficient SAS programmer, covering a wide range of topics essential for effective data management and analysis. You will start by setting up your SAS environment and navigating through common installation and data upload challenges. As you progress, you will delve into the fundamentals of data importing and explore various file formats including .txt, .csv, and .xlsx. This foundational knowledge will pave the way for mastering SAS syntax and understanding the nuances of data and proc steps.
Moving forward, you will explore data manipulation techniques that are crucial for real-world applications. The course provides an in-depth understanding of creating and managing variables, filtering observations, and using decision-making and looping structures. By comparing SAS with R and Python, you will gain a broader perspective on data handling and analysis. You will also learn to utilize SAS functions for data cleaning and manipulation, making complex tasks like handling large datasets and dealing with missing data more efficient and manageable. In the final sections, you will tackle advanced topics such as statistical analysis, predictive modeling, and SAS SQL. Through practical examples and case studies, you will learn to apply statistical tests, perform regression analysis, and construct predictive models. The course concludes with a thorough understanding of macro programming and predictive modeling techniques, equipping you with the skills to tackle sophisticated data problems in professional settings. This course is ideal for data analysts, statisticians, and professionals in fields such as finance, healthcare, and business analytics who want to leverage SAS for data management and analysis. Prior experience with programming is helpful but not required, as the course starts with the basics and progresses to advanced topics.
In this module, we will guide you through setting up SAS Studio/SAS OnDemand for Academics, ensuring you are familiar with essential tools and configurations. You'll also explore the WPS platform and learn how to resolve common installation and data upload issues for a seamless start to the course.
3 videos1 reading
In this module, we will focus on importing different file formats such as .txt, .csv, and .xlsx into SAS. You'll learn how to effectively use the proc import feature to handle dataset imports and explore the distinctions between traditional data step importing methods and using proc steps for greater efficiency.
3 videos
In this module, we will explore the essential building blocks of SAS syntax, focusing on how the data step and proc step serve different functions in the software. You'll learn to write accurate code following SAS rules and gain insights into how SAS compares to popular languages like R and Python by manually creating data across all three platforms.
3 videos1 assignment
In this module, we will dive into advanced data manipulation techniques using SAS. You will explore dataset options, delimiters, and methods for reading dates in data. Additionally, you'll learn how to create new variables, filter observations, and use SAS conditional logic effectively. Topics like automatic variables, sorting, merging datasets, and data cleaning techniques will also be covered to improve your data management skills.
19 videos
In this module, we will revisit importing techniques, focusing on how to import an SPSS file into SAS. You'll gain practical insights into dealing with different dataset formats and understand how to use the proc import process to handle various types of files.
1 video
In this module, we will cover the basics of input types and informats, showing you how to read and manage different data structures. You'll learn about list and column input, and how to apply informats for more accurate data reading. Additionally, you will discover how to create user-defined formats to tailor data analysis in SAS.
4 videos1 assignment
In this module, we will delve into the use of arrays in SAS. You'll learn how to recode and construct new variables using arrays, which can significantly simplify your code when working with large datasets. Arrays allow for efficient handling of repetitive tasks, making your data processing faster and more effective.
2 videos
In this module, we will explore a range of SAS functions that are essential for data processing. You’ll learn about functions that help clean and transform datasets, such as RAND for random sampling, LENGTH for managing large datasets, and COMPRESS for removing unwanted characters. Additionally, we'll cover how to convert data types using the INPUT and PUT functions for more accurate analysis.
11 videos
In this module, we will focus on advanced SAS programming techniques, particularly how to vertically combine raw data files. You'll learn flexible methods for managing multiple datasets, helping you to streamline processes and increase efficiency in handling large-scale data projects.
1 video1 assignment
In this module, we will focus on creating visual representations of data, such as scatter plots and bar graphs. You'll learn how to use SAS to create these basic visualizations and understand their importance in presenting data analysis results clearly and effectively.
2 videos
In this module, we will focus on statistical analysis using SAS. You'll learn how to perform independent samples T-tests and Chi-Square tests, and interpret their results. These statistical techniques will help you apply rigorous data analysis methods to real-world datasets, providing you with valuable insights.
4 videos
In this module, we will dive into regression analysis, covering both linear and multiple regression. You'll start with a refresher on regression concepts before performing these analyses using SAS. The focus will be on applying regression techniques to analyze complex relationships between variables in your datasets.
3 videos1 assignment
In this module, we will apply the knowledge gained throughout the course in healthcare-related case studies. You'll integrate concepts such as the data step, data manipulation, and statistical analysis, providing practical applications of your learning to solve real-world problems.
3 videos
In this module, we will introduce the fundamentals of SQL in SAS. You'll learn SQL syntax and how to write queries using SELECT and WHERE clauses. Additionally, you’ll explore summary functions and CASE logic to perform more sophisticated data queries.
5 videos
In this module, we will cover how to join datasets using SAS SQL. You'll learn how to perform inner, left, right, and full joins to merge data from multiple tables. This will enable you to manage complex data relationships effectively within your SQL queries.
4 videos1 assignment
In this module, we will explore how to work with tables using SAS SQL. You’ll learn how to create tables, alter their structure, and insert rows into them. These skills will help you manage datasets more effectively within a SQL environment.
3 videos
In this module, we will focus on practical applications of SAS SQL. You'll learn how to compare tables, identify duplicates, and customize your table sorting methods. Additionally, you’ll explore how to update tables under specific conditions, improving your data management strategies.
4 videos
In this module, we will cover the fundamentals of SAS indexes, focusing on how and when to use them for optimizing data queries. You'll explore PROC datasets and WHERE expressions to manage indexed datasets, which will significantly improve the efficiency of your data processing.
10 videos1 assignment
In this module, we will explore the fundamentals of SAS macros, focusing on creating and using macro variables to streamline repetitive coding tasks. You’ll also learn important macro functions like %Index and %Scan, and how to debug and store macros for better data management and flexibility.
16 videos
In this module, we will introduce predictive modeling using logistic regression in SAS. You’ll explore the business applications of predictive models, identify common challenges, and learn the steps involved in building an effective logistic regression model.
4 videos
In this module, we will focus on the preliminary steps of building a predictive model. You’ll learn how to generate a problem statement, conduct a data audit, and perform univariate and bivariate analyses to gain deeper insights into your dataset before building a predictive model.
5 videos1 assignment
In this module, we will cover advanced data preparation techniques for predictive modeling. You’ll learn how to handle missing data, perform variable clustering, and subset selection, and calculate parameter estimates to ensure your model is optimized for accuracy.
10 videos
In this module, we will explore the key evaluation metrics for predictive models, focusing on tools like the ROC curve and decile calibration plots. You’ll also learn how to score validation datasets and apply feature engineering to refine and improve your predictive models.
4 videos1 assignment
In this final module, we will address the top five most commonly asked questions about SAS certification. You'll gain insights into exam preparation and understand the challenges you might face during the certification process, equipping you with strategies to succeed in becoming SAS certified.
1 video1 assignment
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
Course
Packt
Course
Course
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.