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Statistics with 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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What's inside

Syllabus

Course Overview and Data Setup

In this module you learn about the course and the data you analyze in this course. Then you set up the data you need to do the practices in the course.

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Read about what's good

what should give you pause

and possible dealbreakers

Provides a strong foundation for beginners

Builds skills in t tests, ANOVA, and linear regression

Introduces logistic regression

Offers hands-on labs and interactive materials

Requires knowledge of SAS/STAT software

Teaches slightly older versions of software

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Reviews summary

Statistics fundamentals and sas application

According to learners, this course provides a solid foundation in statistical concepts and their application using SAS software. Many appreciate the clear explanations and practical, hands-on examples that help reinforce learning. Students find the course content highly relevant for professional use, particularly for those needing to perform statistical analyses with SAS. While some earlier reviews noted issues with outdated SAS code examples, recent feedback indicates these have been updated and are now functional, reflecting responsiveness from the course providers. The course structure and step-by-step approach are frequently highlighted as strengths, making complex topics accessible.

Pace may feel slow or fast depending on background.

"For someone completely new to stats, the pace might be a bit fast in later modules."

"As someone with some prior knowledge, the initial review felt a bit slow."

"The speed of the lectures felt appropriate for me, building gradually."

Earlier issues with SAS code fixed.

"I previously had issues with code not running, but the updated examples worked perfectly."

"It's great that they fixed the SAS code based on feedback; everything runs smoothly now."

"The exercises using SAS were functional and current with the latest course version."

Concepts are explained in an understandable way.

"The instructor's explanations were very clear and easy to follow."

"Complex statistical ideas were broken down into manageable parts."

"I appreciated how the lectures simplified seemingly difficult topics."

Hands-on exercises using SAS are helpful.

"The hands-on SAS examples were the most valuable part for me, helping solidify the concepts."

"Using SAS directly with the examples made the theory much more concrete."

"I liked that the course focused on practical application in SAS."

Course builds a strong base in statistics.

"The course gave me a great foundation in applying statistical methods using SAS."

"It covers the fundamental concepts clearly, providing a solid starting point."

"I feel much more confident with basic statistical analysis after this course."

Content is highly applicable to professional work.

"This course is highly relevant for my job, where I use SAS for data analysis."

"The skills learned are directly applicable to real-world statistical tasks."

"It covers analyses like ANOVA and regression that I use regularly in my professional role."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Statistics with SAS with these activities:

Review statistical concepts

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Strengthen your foundational understanding of statistical concepts to enhance your ability to apply them effectively in this course.

Browse courses on Statistical Concepts

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Review your notes or textbooks from previous statistics courses.
Focus on the key concepts mentioned in the course syllabus, such as sampling distribution of a mean, hypothesis testing, p-values, and confidence intervals.
Consider using online resources or videos to supplement your review.

Answer questions and support fellow learners

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Deepen your understanding of the course material by assisting others, clarifying concepts, and sharing your knowledge with fellow learners.

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Participate in online discussion forums or study groups.
Offer help to classmates who may have questions or need support.
Provide thoughtful and constructive feedback to others' posts and responses.

Colt Steele's CSS Course

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Colt Steele's CSS course is a beginner-friendly tutorial that covers all the fundamentals of CSS and how to use it to create beautiful and responsive web pages. This will help students master the basics of CSS, a crucial skill for any web developer.

Browse courses on Cascading Style Sheets

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Watch the introduction and overview videos.
Complete the practice exercises.
Build a simple webpage using the skills learned.

Six other activities

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Practice t-tests and ANOVA

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Reinforce your understanding of t-tests and ANOVA through hands-on practice, building your confidence in applying these techniques to real-world data.

Browse courses on T-Tests

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Find online exercises or practice problems related to t-tests and ANOVA.
Work through the problems step-by-step, ensuring you understand the underlying concepts.
Check your answers against provided solutions or consult with classmates or online forums for support.

Seek guidance from experienced statisticians

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Accelerate your learning by connecting with experienced statisticians who can provide valuable insights and support throughout your journey.

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Attend industry events or workshops to network with professionals in the field.
Reach out to professors or researchers in your university or online communities.
Seek guidance on specific statistical concepts or project ideas.

Compile a resource library on statistical software

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Enhance your proficiency in statistical software by creating a comprehensive resource library that includes tutorials, documentation, and best practices.

Browse courses on Statistical Software

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Identify the most useful resources for SAS, R, Python, or other relevant software.
Organize the resources into a central location, such as a shared document or online repository.
Include documentation, tutorials, code snippets, and links to helpful online communities.

Explore more advanced regression techniques

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Expand your knowledge beyond the course material by delving into more advanced regression techniques, enhancing your ability to analyze complex data sets.

Browse courses on Multiple Regression

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Identify online tutorials or resources that cover multiple regression, model building, and model selection.
Follow the tutorials carefully, taking notes and practicing the techniques.
Apply what you learn to analyze a small data set of your own.

Participate in data analysis competitions

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Challenge yourself and showcase your skills by participating in data analysis competitions, fostering a growth mindset and honing your problem-solving abilities.

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Identify a data analysis competition that aligns with your interests.
Form a team or work individually to analyze the data and develop solutions.
Submit your findings and compete against other participants.
Reflect on your performance and areas for improvement.

Develop a data visualization dashboard

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Enhance your ability to communicate insights effectively by creating an interactive data visualization dashboard that showcases your findings from the course.

Browse courses on Data Visualization

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Choose a data set that aligns with your interests or a specific business problem.
Use data visualization tools to create charts, graphs, and other visual elements that effectively represent your data.
Organize the visualizations into a cohesive dashboard that tells a clear and compelling story.
Consider sharing your dashboard with others for feedback and insights.

Career center

Learners who complete Statistics with SAS will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use a variety of techniques to extract insights from data. They work in a variety of industries, including technology, finance, and healthcare. This course can help you prepare for a career in data science by providing you with the skills you need to clean and prepare data, perform statistical analysis, and build machine learning models. You'll also learn about the different types of data science techniques and how to apply them to real-world problems.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians use statistical methods to collect, analyze, interpret, and present data. They work in a variety of industries, including healthcare, finance, and manufacturing. This course can help you prepare for a career in statistics by providing you with the skills you need to design and conduct statistical studies, analyze data, and draw conclusions. You'll also learn about the different types of statistical methods and how to apply them to real-world problems.

See salaries and explore the career path for Statistician

Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models. They work in a variety of industries, including technology, finance, and healthcare. This course can help you prepare for a career in machine learning engineering by providing you with the skills you need to design and build machine learning models, deploy them to production, and monitor their performance. You'll also learn about the different types of machine learning models and how to apply them to real-world problems.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers design, build, and maintain data pipelines. They work in a variety of industries, including technology, finance, and healthcare. This course can help you prepare for a career in data engineering by providing you with the skills you need to design and build data pipelines, test them for errors, and deploy them to production. You'll also learn about the different types of data engineering techniques and how to apply them to real-world problems.

See salaries and explore the career path for Data Engineer

Biostatistician

Biostatisticians use statistical methods to analyze biological and health data. They work in a variety of settings, including hospitals, universities, and government agencies. This course can help you prepare for a career in biostatistics by providing you with the skills you need to design and conduct research studies, analyze data, and interpret results. You'll also learn about the different types of statistical methods used in biostatistics and how to apply them to real-world problems.

See salaries and explore the career path for Biostatistician

Data Analyst

Data Analysts identify and interpret patterns in data to drive business decisions. They often work with large datasets to uncover insights that can improve operations, increase efficiency, and boost revenue. This course can help prepare you for a career in data analysis by providing you with the skills you need to clean and prepare data, perform statistical analysis, and interpret results. You'll also learn about the different types of data analysis techniques and how to apply them to real-world problems.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical methods to analyze financial data. They work with investment firms, banks, and hedge funds to help them make informed decisions about how to invest their money. This course can help you prepare for a career in quantitative analysis by providing you with the skills you need to analyze financial data, build financial models, and make investment recommendations. You'll also learn about the different types of quantitative analysis techniques and how to apply them to real-world problems.

See salaries and explore the career path for Quantitative Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical methods to improve the efficiency of business operations. They work in a variety of industries, including manufacturing, healthcare, and transportation. This course can help you prepare for a career in operations research by providing you with the skills you need to analyze data, build mathematical models, and make recommendations for improvement. You'll also learn about the different types of operations research techniques and how to apply them to real-world problems.

See salaries and explore the career path for Operations Research Analyst

Market Researcher

Market Researchers conduct research to understand consumer behavior and trends. They use this information to help businesses develop new products and services, and to improve marketing campaigns. This course can help you prepare for a career in market research by providing you with the skills you need to design and conduct research studies, analyze data, and interpret results. You'll also learn about the different types of market research methods and how to apply them to real-world problems.

See salaries and explore the career path for Market Researcher

Risk Manager

Risk Managers identify, assess, and manage risks. They work in a variety of industries, including finance, healthcare, and manufacturing. This course can help you prepare for a career in risk management by providing you with the skills you need to identify and assess risks, develop risk management plans, and implement risk management strategies. You'll also learn about the different types of risk management techniques and how to apply them to real-world problems.

See salaries and explore the career path for Risk Manager

Business Analyst

Business Analysts use data to make better business decisions. They work in a variety of industries, including technology, finance, and healthcare. This course can help you prepare for a career in business analysis by providing you with the skills you need to analyze data, identify trends, and make recommendations for improvement. You'll also learn about the different types of business analysis techniques and how to apply them to real-world problems.

See salaries and explore the career path for Business Analyst

Actuary

Actuaries use mathematical and statistical methods to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. This course can help you prepare for a career in actuarial science by providing you with the skills you need to analyze data, build financial models, and make risk assessments. You'll also learn about the different types of actuarial methods and how to apply them to real-world problems.

See salaries and explore the career path for Actuary

Financial Analyst

Financial Analysts use financial data to make investment decisions. They work with companies, governments, and individuals to help them make informed decisions about how to invest their money. This course can help you prepare for a career in financial analysis by providing you with the skills you need to analyze financial data, build financial models, and make investment recommendations. You'll also learn about the different types of financial analysis techniques and how to apply them to real-world problems.

See salaries and explore the career path for Financial Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work in a variety of industries, including technology, finance, and healthcare. This course can help you prepare for a career in software engineering by providing you with the skills you need to design and build software applications, test them for errors, and deploy them to production. You'll also learn about the different types of software engineering techniques and how to apply them to real-world problems.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Statistics with SAS.

Applied Statistics Using R

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Provides a comprehensive overview of statistical methods and their applications using SAS software. It valuable reference for students and practitioners who want to learn more about statistical analysis with SAS.

Statistics with SAS

Two deals to help you save

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Statistics fundamentals and sas application

Activities

Career center

Reading list

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