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    • Sas

    Learn Essential SAS Skills

    Understand SAS principles, tools, and applications for data analysis and management.

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    Explore the SAS Course Catalog

    • U

      University of Colorado Boulder

      Algorithms for Searching, Sorting, and Indexing

      Skills you'll gain: Data Structures, Algorithms, Pseudocode, Computational Thinking, Programming Principles, Analysis, Big Data, Probability & Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      472 reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rutgers the State University of New Jersey

      Business Intelligence and Competitive Analysis

      Skills you'll gain: Competitive Intelligence, Competitive Analysis, Market Intelligence, Management Consulting, Business Consulting, Consulting, Business Strategy, Data Analysis Software, Business Intelligence, Company, Product, and Service Knowledge, Business Analytics, Analytics, Market Analysis, Benchmarking, Analysis, Performance Analysis, Trend Analysis, Business Metrics, Key Performance Indicators (KPIs), Financial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      235 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      The Structured Query Language (SQL)

      Skills you'll gain: SQL, Database Systems, Database Theory, Database Management, Query Languages, Database Design, Relational Databases, Data Access, Data Analysis, Data Manipulation, Data Modeling, Data Integrity

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      999 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Genentech

      Data Sciences in Pharma - Patient Centered Outcomes Research

      Skills you'll gain: Clinical Trials, Clinical Research, Pharmaceuticals, Patient Evaluation, Quantitative Research, Patient Safety, Medical Science and Research, Data Analysis, Statistical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      R

      Rutgers the State University of New Jersey

      Analyzing the Universe

      Skills you'll gain: Data Analysis Software, Spatial Data Analysis, Image Analysis, Scientific Visualization, Spatial Analysis, Science and Research, Physics, Physical Science, Probability & Statistics, Scientific Methods, Energy and Utilities

      4.8
      Rating, 4.8 out of 5 stars
      ·
      231 reviews

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

      Skills you'll gain: Machine Learning, Data Ethics, Predictive Modeling, Technical Communication, Predictive Analytics, Supervised Learning, Analytical Skills, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Regression Analysis, Data Validation, Statistical Analysis, Data Visualization, Artificial Neural Networks

      Beginner · Course · 1 - 4 Weeks

    • Y

      Yonsei University

      Spatial Data Science and Applications

      Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Database Management Systems, Big Data, Apache Hadoop, Data Modeling, PostgreSQL, Network Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Macquarie University

      Analysing: Numeric and digital literacies

      Skills you'll gain: Governance, Management Accounting, Budgeting, Marketing Analytics, Capital Budgeting, Financial Modeling, SAS (Software), Business Analytics, Accounting, Financial Management, Customer Insights, Financial Analysis, Dashboard, Analytics, Marketing Effectiveness, Corporate Finance, Digital Marketing, Customer Data Management, Business Valuation, Data-Driven Decision-Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      ANOVA and Experimental Design

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Regression Analysis, Probability & Statistics, Sample Size Determination

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      Six Sigma Tools for Analyze

      Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Process Analysis, Probability Distribution, Process Capability, Statistical Process Controls, Lean Methodologies, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Statistical Analysis, Systems Of Measurement, Risk Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Spatial Analysis and Satellite Imagery in a GIS

      Skills you'll gain: Geographic Information Systems, GIS Software, Spatial Analysis, Spatial Data Analysis, Geospatial Mapping, Query Languages, Data Processing, Data Manipulation, Image Analysis, Data Integration

      4.9
      Rating, 4.9 out of 5 stars
      ·
      613 reviews

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      SAS® Programming for Distributed Computing in SAS® Viya®

      Skills you'll gain: SAS (Software), Cloud Computing, Distributed Computing, Data Processing, Data Access, Data Management, Data Manipulation, SQL, Data Analysis, Query Languages

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Advanced · Course · 1 - 3 Months

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    1…678…10

    In summary, here are 10 of our most popular sas courses

    • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
    • Business Intelligence and Competitive Analysis: Rutgers the State University of New Jersey
    • The Structured Query Language (SQL): University of Colorado Boulder
    • Data Sciences in Pharma - Patient Centered Outcomes Research: Genentech
    • Analyzing the Universe: Rutgers the State University of New Jersey
    • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
    • Spatial Data Science and Applications: Yonsei University
    • Analysing: Numeric and digital literacies: Macquarie University
    • ANOVA and Experimental Design: University of Colorado Boulder
    • Six Sigma Tools for Analyze: Kennesaw State University

    Frequently Asked Questions about Sas

    SAS is a software suite developed for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics. SAS has evolved over time, and is in wide use for analysis of healthcare, medical, and clinical trials data. Knowledge of SAS is a standard requirement for many biostatistician and healthcare data science roles, typically at pharmaceutical and biotechnology companies.‎

    We recommend these courses for those with a basic knowledge of SAS who want to use it in data science, data management and machine learning applications. You may wish to use it for data visualization, statistical hypothesis testing, or to implement regression and machine learning models. You will be able to get more productivity and effectiveness out of SAS when you finish one or more courses in this collection.‎

    According to Burning Glass, there were more than 100,000 job postings in the last 12 months that require SAS as a skill. Some of the functional job titles requiring SAS are Business Intelligence Analyst, Management Analyst, Statistician, or Biostatistician. If your work involves data analysis, modeling, or visualization, SAS is a powerful skill to add to your portfolio.‎

    Before starting to learn SAS, you should have experience using computer software and know how to access data files on your operating system. You should also understand system commands and file structures on your operating system. If you already know SQL, learning SAS should be fairly easy for you. Having an understanding of linear algebra, calculus, statistics, software engineering, or machine learning will also help you be successful at learning SAS.‎

    If you are pursuing a career as a statistician, biostatistician, social science researcher, or actuary, learning SAS is likely right for you. According to data collected by Burning Glass, job postings for these positions list SAS as a requested skill at a high percentage rate: 49% for biostatisticians, 41% for statisticians, 29% for social science researchers, and 22% for actuaries. If your career field is in data, such as a data analyst, data mining analyst, or data scientist, learning SAS is likely the right move for you, too, as it is often used in these fields. SAS is also suitable for those in machine learning, programming, and artificial intelligence. If you're interested in analytics, learning SAS just might be the right move for you.‎

    A common career path for an SAS programmer starts as an analyst, progresses to senior analyst, and then to principle analyst. After this senior level, SAS programmers may become managers over groups of people, then progress to senior manager and associate director. A career path for statisticians in SAS is commonly statistician, senior statistician, and then to management. Management roles usually require a master's degree. Major companies often have vice presidents with a background in SAS.‎

    A wide array of places need people with a background in SAS, including in the health care, banking, manufacturing, government, insurance, and retail industries. The highest paying industries for SAS programmers are the finance and health care industries, according to Zippia. Some of the top companies that hire people with a background in SAS include Amazon Web Services, Retail Odyssey, Deloitte, Citi, Facebook, CVS Health, Kaiser Permanente, Booz Allen Hamilton, and Rutgers University.‎

    Online SAS (software) courses offer a convenient and flexible way to enhance your knowledge or learn new SAS (software) skills. Choose from a wide range of SAS (software) courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in SAS (software), it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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