SPSS Statistics

SPSS Statistics learning resources

By NITIN MATHUR posted Fri October 18, 2019 11:56 AM


Welcome to SPSS Statistics learning resources

Data is the new oil. You might have heard this quote from numerous business leaders recently. According to a Harvard Business Report (2012) data science is going to be the hottest job of 21st century and data analysts have a very bright career ahead. Statistics is the science of learning from data. It is the scientific study of how to collect, analyze, interpret and present data objectively in the presence of uncertainty.

To get you started on your journey to learning data science, we have packaged a Statistics course that introduces you to the basic statistical concepts and SPSS Statistics software, two of the foundational  skills required to start your journey in data science. Simply download SPSS Statistics trial and sign-up for the Statistics 101 course to begin on your learning path.

The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization find new opportunities, improve efficiency and minimize risk.

Statistics 101

Predictive Modeling Fundamentals I

Data Science Foundations

Follow the learning path to maximize your potential.

This course covers the fundamentals of statistics. Start with mean, mode, and median. Then learn about standard deviation using examples from basketball. Learn about probability with dice. Learn what it means to group data by categorical variables, and how you can transform your data into appropriate graphs and charts.

In the final module, using an open dataset, learn whether good looking professors indeed get better teaching evaluation.This course is taught using SPSS Statistics. No prior experience necessary.

Learn about the predictive modeling fundamentals. These are the mathematical algorithms, which are used to "learn" the patterns hidden in data. Learn the crucial step in the Big Data Lifecycle: using big data to make decisions!

  • Possess the modeling skills needed by companies all over the world to go beyond storing big data to understanding big data
  • Learn how to use these skills to make decisions such as cancer detection, fraud detection, customer segmentation and predicting machine downtime.
  • Get introduced to the data mining process and modeling techniques using one of the most popular software, IBM's SPSS Modeler.
  • Learn how to build models on trained data, test the model with historical data, and use qualifying models on live data or other historical untested data.
  • Save or earn companies millions of dollars with your decisions!

This learning path currently consists of one course that introduces you to Data Science from a practitioner point of view, to courses that discuss topics such as data compilation, preparation and modeling throughout the life-cycle of data science from basic concepts and methodologies to advanced algorithms. It also discusses how to get some practical knowledge with open source tools.

Course Level: Beginner  |  Time to complete: 6 Hours  |  Course code: ST0101EN  |  Statistics 101 Badge

Course Level: Intermediate |  Time to complete: 5 Hours  |  Course code: PA0101EN  |  Data Science for Business – Level 1 and Data Science for Business – Level 2 Badge Course Level: Beginner  |  Time to complete: 12 Hours  |  Introduction to Data Science  |  Data Science Tools  | Data Science Methodology
Start the Free Course Start the Free Course Earn the Data Science Foundations badges.

SPSS Statistics is named a leader in the G2 Crowd Grid report for the best statistical software.
Visit the SPSS Software webpage to learn more.