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Advanced SAS Programming Techniques (Coursera) https://www.coursera.org/learn/advanced-sas-programming-techniques In this course, you learn advanced techniques within the DATA step and procedures to manipulate data. “By the end of this course, a learner will be able to…” ● Use additional functions (LAG, FINDC/FINDW, and COUNT/COUNTC/COUNTW). ● Perform pattern matching using PRX functions. ● Process repetitive code, rotate data, and perform table lookups using arrays. ● Perform table lookups and sort data using hash and hash iterator objects. ● Create numeric templates using the FORMAT procedure. ● Create c |
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Analyzing Time Series and Sequential Data (CourseraSpecs) https://www.coursera.org/specializations/time-series-sequential-data Offered by SAS. Enhance your skills with SAS Visual Forecasting |
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Creating Advanced Reports with SAS Visual Analytics (Coursera) https://www.coursera.org/learn/advanced-reports-sas-va In this course, you learn how to create advanced data items, filters, and parameters in SAS Visual Analytics. |
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Data Analysis and Reporting in SAS Visual Analytics (Coursera) https://www.coursera.org/learn/data-analysis-reporting-sas-va In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports. |
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Data Literacy: Exploring and Visualizing Data (CourseraSpecs) https://www.coursera.org/specializations/sas-data-literacy Offered by SAS. Start Your Data Literacy Journey Today . Build knowledge and skills to explore and visualize data in your professional and ... |
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Distributed Programming in SAS® Viya® for Data Analysts (CourseraSpecs) https://www.coursera.org/specializations/distributed-programming-sas-viya-for-data-analysts Offered by SAS. Process big data efficiently with SAS® Viya®. Master the programming enhancements offered in SAS Viya for accelerated data ... |
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Doing More with SAS Programming (Coursera) https://www.coursera.org/learn/sas-programming-advanced This course is for business analysts and SAS programmers who want to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the Getting Started with SAS Programming course and is not recommended for beginning SAS software users. In this course you learn how to understand and control DATA step processing, create an accumulating column and process data in groups, manipulate data wi |
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Getting Started with SAS Programming (Coursera) https://www.coursera.org/learn/sas-programming-basics 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 |
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Getting Started with SAS Visual Analytics (Coursera) https://www.coursera.org/learn/preparing-data-sas-va In this course, you learn more about SAS Visual Analytics and the SAS Viya platform, how to access and investigate data in SAS Visual Analytics, and how to prepare data for analysis using SAS Data Studio. |
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Introduction to Statistical Analysis: Hypothesis Testing (Coursera) https://www.coursera.org/learn/statistical-analysis-hypothesis-testing-sas This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. |
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https://www.coursera.org/learn/launching-machine-learning-leadership Machine learning runs the world. It generates predictions for each individual customer, employee, voter, and suspect, and these predictions drive millions of business decisions more effectively, determining whom to call, mail, approve, test, diagnose, warn, investigate, incarcerate, set up on a date, or medicate. But, to make this work, you've got to bridge what is a prevalent gap between business leadership and technical know-how. Launching machine learning is as much a management endeavor as |
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Machine Learning Rock Star – the End-to-End Practice (CourseraSpecs) https://www.coursera.org/specializations/machine-learning-for-everyone Offered by SAS. An End-to-End Guide to Leading and Launching ML. This expansive machine learning curriculum is accessible to business-level ... |
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Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls (Coursera) https://www.coursera.org/learn/machine-learning-under-the-hood Machine learning. Your team needs it, your boss demands it, and your career loves it. After all, LinkedIn places it as one of the top few "Skills Companies Need Most" and as the very top emerging job in the U.S. If you want to participate in the deployment of machine learning (aka predictive analytics), you've got to learn how it works. Even if you work as a business leader rather than a hands-on practitioner – even if you won't crunch the numbers yourself – you need to grasp the underlying mec |
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Machine Learning Using SAS Viya (Coursera) https://www.coursera.org/learn/machine-learning-sas This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving b |
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Performing Network, Path, and Text Analyses in SAS Visual Analytics (Coursera) https://www.coursera.org/learn/network-path-text-analyses-sas-va In this course, you learn about the data structure needed for network, path, and text analytics and how to create network analysis, path analysis, and text analytics in SAS Visual Analytics. |
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Practical SAS Programming and Certification Review (Coursera) https://www.coursera.org/learn/sas-programming-certification-review In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam. |
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Practicing for the SAS Programming Certification Exam (Coursera) https://www.coursera.org/learn/practicing-sas-programming-certification In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam. |
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Predictive Modeling with Logistic Regression using SAS (Coursera) https://www.coursera.org/learn/sas-predictive-modeling-using-logistic-regression This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets. You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing dat |
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Preparing for the SAS Programming Certification Exam (Coursera) https://www.coursera.org/learn/preparing-sas-programming-certification In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam. |
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Regression Modeling Fundamentals (Coursera) https://www.coursera.org/learn/regression-modeling-sas This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. |
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SAS Advanced Programmer (CourseraSpecs) https://www.coursera.org/professional-certificates/sas-advanced-programmer Offered by SAS. Grow Your Career with a SAS® Credential. Master the skills required for the SAS® Advanced Programming Professional ... |
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https://www.coursera.org/learn/sas-macro-language In this course, you learn advanced techniques within the DATA step and procedures to manipulate data. Course Learning Objectives: (3+ per course) “By the end of this course, a learner will be able to…” ● Perform text substitution in SAS code. ● Use macro variables and macro functions. ● Automate and customize the production of SAS code. ● Conditionally or iteratively construct SAS code. ● Write self-modifying, data-driven programs. |
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SAS Programmer (CourseraSpecs) https://www.coursera.org/professional-certificates/sas-programming Offered by SAS. Launch Your Career with a SAS® Credential. Master the skills required for the SAS® Base Programmer certification. |
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SAS Statistical Business Analyst (CourseraSpecs) https://www.coursera.org/professional-certificates/sas-statistical-business-analyst Offered by SAS. Distinguish Yourself as a Modeler. You will acquire SAS statistics, modeling, and programming skills including ANOVA, ... |
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SAS Visual Business Analytics (CourseraSpecs) https://www.coursera.org/professional-certificates/sas-visual-business-analytics Offered by SAS. Launch Your Career with a SAS® Credential. Master the skills required for the SAS® Visual Business Analyst Certification |
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Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera) https://www.coursera.org/learn/statistical-thinking-applied-statistics Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Students completing this course will be able to: • Explain the importance of statistical thinking in solving problems • Describe the importance of data, and the steps |
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Statistics with SAS (Coursera) https://www.coursera.org/learn/sas-statistics This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. |
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Structured Query Language (SQL) using SAS (Coursera) https://www.coursera.org/learn/sas-sql Course Description In this course, you learn about Structured Query Language (SQL) and how it can be used in SAS programs to create reports and query your data. “By the end of this course, a learner will be able to…” ● Query and subset data. ● Summarize and present data. ● Combine tables using joins and set operators. ● Create and modify tables and views. ● Create data-driven macro variables using a query. ● Access DBMS data with SAS/ACCESS technology. |
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https://www.coursera.org/learn/the-power-of-machine-learning It's the age of machine learning. Companies are seizing upon the power of this technology to combat risk, boost sales, cut costs, block fraud, streamline manufacturing, conquer spam, toughen crime fighting, and win elections. Want to tap that potential? It's best to start with a holistic, business-oriented course on machine learning – no matter whether you’re more on the tech or the business side. After all, successfully deploying machine learning relies on savvy business leadership just as muc |
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Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics (Coursera) https://www.coursera.org/learn/using-data-geographic-mapping-sas-va In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics. |
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Using SAS Viya REST APIs with Python and R (Coursera) https://www.coursera.org/learn/sas-viya-rest-api-python-r SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. You’ll learn how to create both machi |