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    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

      Structured Query Language (SQL) using SAS

      Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Relational Databases, Data Presentation, Data Manipulation, Data Integration, Data Processing, Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      282 reviews

      Mixed · Course · 1 - 3 Months

    • P

      PwC

      Data Analysis and Presentation Skills: the PwC Approach Final Project

      Skills you'll gain: Presentations, Customer Analysis, Data Visualization, Data Presentation, Microsoft PowerPoint, Target Market, Consulting, Microsoft Excel, Data Storytelling, Business Analysis, Data Analysis, Pivot Tables And Charts, Dashboard, Constructive Feedback

      4.7
      Rating, 4.7 out of 5 stars
      ·
      252 reviews

      Beginner · Course · 1 - 3 Months

    • M

      MathWorks

      Data Science Project: MATLAB for the Real World

      Skills you'll gain: Data Storytelling, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Data Science, Machine Learning, Statistical Machine Learning, Data Analysis, Matlab, Data Processing, Data Modeling, Technical Communication, Predictive Modeling, Data Manipulation, Data Cleansing, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Microsoft Excel, Statistical Inference, Data Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Analytical Skills, Probability & Statistics, Statistical Analysis, Data Presentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Analysis, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Amsterdam

      Methods and Statistics in Social Science - Final Research Project

      Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Scientific Methods, Data Collection, Research Methodologies, Report Writing, Experimentation, Social Sciences, Survey Creation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      63 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The State University of New York

      Player Evaluation, Team Performance and Roster Management

      Skills you'll gain: Calendar Management, Performance Analysis, Analytics, Data-Driven Decision-Making, Data Analysis, Scheduling, Staff Management, Team Performance Management, Linear Algebra, Data Management, Administration, Contract Management, Business, Compensation Management, Contract Negotiation, R Programming, Strategic Decision-Making

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Science as a Field

      Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, General Networking

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Trees, SVM and Unsupervised Learning

      Skills you'll gain: Supervised Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning, Predictive Modeling, Feature Engineering, Random Forest Algorithm, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GIS Mastery: Spatial Data, Remote Sensing, Decision Support

      Skills you'll gain: Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Global Positioning Systems, Data-Driven Decision-Making

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      CertNexus

      Analyze Data

      Skills you'll gain: Data Analysis, Statistical Analysis, Exploratory Data Analysis, Business Analytics, Analytical Skills, Data Processing, Data Transformation, Probability & Statistics, Descriptive Statistics, Data Cleansing, Histogram, Scatter Plots

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 3 Months

    Spss learners also search

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    1…6789

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

    • Structured Query Language (SQL) using SAS : SAS
    • Data Analysis and Presentation Skills: the PwC Approach Final Project: PwC
    • Data Science Project: MATLAB for the Real World: MathWorks
    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Methods and Statistics in Social Science - Final Research Project: University of Amsterdam
    • Player Evaluation, Team Performance and Roster Management: The State University of New York
    • Data Science as a Field: University of Colorado Boulder
    • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder

    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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