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    • Spss

    SPSS Courses Online

    Learn SPSS for statistical analysis. Understand how to use SPSS for data entry, manipulation, and advanced statistical techniques.

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    Explore the SPSS Course Catalog

    • S

      SAS

      Practical SAS Programming and Certification Review

      Skills you'll gain: SAS (Software), Data Import/Export, Statistical Analysis, Data Analysis, Statistical Programming, Data Manipulation, Data Processing, Data Access, Computer Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      356 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Questionnaire Design for Social Surveys

      Skills you'll gain: Survey Creation, Interviewing Skills, Research Design, Data Collection, Qualitative Research, Research, Research Methodologies, Quantitative Research

      4.5
      Rating, 4.5 out of 5 stars
      ·
      458 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: Sampling (Statistics), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Statistical Software, Statistics, Data Analysis, Statistical Analysis, Probability, Statistical Visualization, Data Manipulation, Histogram

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

      Skills you'll gain: Statistical Modeling, Statistical Analysis, SPSS, SAS (Software), Regression Analysis, Analysis, Correlation Analysis, Statistical Methods, Data Analysis Software, Data Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Mixed · Course · 3 - 6 Months

    • J

      Johns Hopkins University

      Analysis and Interpretation of Large-Scale Programs

      Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, Maternal Health, Data Quality, Research Design

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Social Science Approaches to the Study of Chinese Society Part 2

      Skills you'll gain: Research Design, Social Sciences, Research, Surveys, Qualitative Research, Statistical Analysis, Data Collection, Higher Education, Correlation Analysis, Sample Size Determination, Ethical Standards And Conduct, Probability & Statistics, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Sampling (Statistics), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Data Visualization, Statistical Methods, Statistical Software, Statistics, Statistical Analysis, Data Analysis Software, Probability, Data Analysis, Box Plots, Quality Control

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Vital Skills for Data Science

      Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, Cybersecurity, User Experience Design, Technical Communication, Healthcare Ethics, Cyber Attacks, Usability, Statistical Reporting, Human Centered Design, Authentications, Data Storytelling, Data Science, User Research, Ethical Standards And Conduct

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      109 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Genentech

      Data Science in Health Technology Assessment

      Skills you'll gain: Health Policy, Data-Driven Decision-Making, Risk Modeling, Health Assessment, Health Technology, Health Care, Statistical Modeling, Clinical Research, Medical Terminology, Systems Of Measurement

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Assisting Public Sector Decision Makers With Policy Analysis

      Skills you'll gain: Statistical Analysis, Program Evaluation, Policy Analysis, Data Analysis, Statistical Methods, Public Policies, Statistical Hypothesis Testing, Policy Development, Analytical Skills, Forecasting, R Programming, Data-Driven Decision-Making, Research Design, Time Series Analysis and Forecasting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 3 Months

    • Y

      Yonsei University

      Emerging Technologies: From Smartphones to IoT to Big Data

      Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Cloud Services, Internet Of Things, Live Streaming, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Multimedia, Emerging Technologies, Mobile Development, Apple iOS, Display Devices

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

      Beginner · Specialization · 3 - 6 Months

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    1…456…9

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

    • Practical SAS Programming and Certification Review: SAS
    • Questionnaire Design for Social Surveys: University of Michigan
    • Managing, Describing, and Analyzing Data: University of Colorado Boulder
    • Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
    • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University
    • Social Science Approaches to the Study of Chinese Society Part 2: The Hong Kong University of Science and Technology
    • Spatial Data Science and Applications: Yonsei University
    • Data Science Methods for Quality Improvement: University of Colorado Boulder
    • Vital Skills for Data Science: University of Colorado Boulder
    • Data Science in Health Technology Assessment: Genentech

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Spss

    SPSS is a common software used by data analysts to conduct statistical data analysis. The designation SPSS is short for Statistical Package for the Social Sciences. While no longer just used in social science, SPSS is today a common tool for education, marketing, and healthcare researchers to perform statistical analysis and statistical operations. Among the types of data analyzed using SPSS by researchers include scientific research results, Google analytics, server log files, survey results, and organization customer databases. SPSS software, which has been owned by IBM for over a decade, supports spreadsheets, plain text files, and relational databases like SAS, SATA, and SQL. In fact, almost all kinds of formats of structured data are supported by SPSS software.‎

    It's valuable to learn SPSS as it may give you graphical insights into how to manage data, conduct data mining, select data cases, recode variables, and manage research surveys. Learning SPSS can also help provide quick data analysis with accurate information about variables and cases. The SPSS software also includes charts and graphs, which makes it easy to share and show data findings. These are valuable assets to learn and to use in your professional career. SPSS software can simplify and speed up your data analytics work through its menu-driven UI that gives you data insights with a few clicks.‎

    Typical career opportunities that use SPSS are mainly jobs like data analysts, research analysts, and intelligence analysts. These roles may be in government work, research, healthcare, science, education, and marketing. You may even use SPSS understanding to work as an SPSS software instructor. In many of these roles, your knowledge of SPSS would help you conduct data management, data analysis, and research functions for your organization, to help provide meaningful insight for the enterprise.‎

    When you take online courses on Coursera about SPSS, you may learn the basics of using the SPSS software and the fundamentals of statistical theory and design, as well as how to create variables, how to enter data, and how to modify properties of variables in common statistical tests. Having a basic understanding of data and statistics may help you enrich your learning of SPSS in a faster way. It may also speed up your learning of how SPSS is used in quantitative research models and other statistics formulations.‎

    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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