What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of SAS Programmer Professional Certificate
Instructor: Stacey Syphus
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This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.
By the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables. Prerequisites: Learners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems. No prior SAS experience is needed.
In this module you learn about the course and you set up the data you need to do the practices in the course.
3 videos3 readings
In this module you learn how to use SAS programming tools and the fundamentals of SAS program structure and syntax.
7 videos2 readings3 assignments1 discussion prompt
In this module, you learn to identify the features of a SAS table, access data through SAS libraries, and import data into SAS.
14 videos1 reading9 assignments2 discussion prompts
In this module, you learn to use SAS procedures that provide insights about your data. You also learn to subset data so you can focus on particular segments, format data so you can easily understand it, and sort data to identify and resolve duplicate values.
16 videos1 reading13 assignments1 discussion prompt
In this module, you learn how to do some common data manipulations, such as filtering rows and columns, computing new columns, and performing conditional processing.
13 videos4 readings16 assignments1 discussion prompt
In this module, we concentrate on summarizing data by using the SAS procedures that we touched on for data exploration. You also learn how to use titles, column labels, footnotes, and macro variables to enhance your reports and make them more meaningful.
11 videos2 readings10 assignments1 discussion prompt
In this module, you learn to export SAS tables and results to Excel, Microsoft Word, and PDF files.
8 videos3 readings6 assignments1 discussion prompt
In this module, you learn to use the SQL procedure to read and filter data. You also learn to create and join tables by using SQL.
10 videos1 reading4 assignments2 discussion prompts
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
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Reviewed on Mar 29, 2021
Great course and awesome instructor. Learned a lot about some SAS capabilities, syntaxes, and others. Highly recommend this course if you would like to start getting to know SAS programming.
Reviewed on Aug 29, 2020
I really felt like I learned a lot. The class was well organized with great examples and activities. I would highly recommend this course. I plan on taking the next series of classes.
Reviewed on Jul 25, 2020
I feel I now have a solid understanding of most of the basics of SAS. If you're planning on taking this course, I highly suggest printing out the review pages and annotating as you go along.
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