Statistics / Data Analysis in SPSS: Inferential Statistics

November, 2019. Join more than 1,000 students and get instant access to this best-selling content - enroll today. Get marketable and highly sought after skills in this course that will substantially increase your knowledge of data analytics, with a focus in the area of significance testing, an important tool for A/B testing and product assessment.

Many tests covered, including three different t tests, two ANOVAs, post hoc tests, chi-square tests (great for A/B testing), correlation, and regression. Database management also covered. Two in-depth examples provided of each test for additional practice.

This course is great for professionals, as it provides step by step instruction of tests with clear and accurate explanations. Get ahead of the competition and make these tests important parts of your data analytic toolkit. Students will also have the tools needed to succeed in their statistics and experimental design courses.

Data Analytics is an rapidly growing area in high demand (e. g. , McKinsey)Statistics play a key role in the process of making sound business decisions that will generate higher profits.