# Statistics / Data Analysis in SPSS

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. Without statistics, it's difficult to determine what your target audience wants and needs.

Inferential statistics, in particular, help you understand a population's needs better so that you can provide attractive products and services.

This course is designed for business professionals who want to know how to analyze data. You'll learn how to use

Use Tests in SPSS to Correctly Analyze Inferential Statistics

• Use the One Sample t Test to Draw Conclusions about a Population

• Understand ANOVA and the Chi Square

• Master Correlation and Regression

• Learn Data Management Techniques

Analyze Research Results Accurately to Make Better Business Decisions

With SPSS, you can analyze data to make the right business decisions for your customer base. And by understanding how to use inferential statistics, you can draw accurate conclusions about a large group of people, based on research conducted on a sample of that population.

This easy-to-follow course, which contains illustrative examples throughout, will show you how to use tests to assess if the results of your research are statistically significant.

You'll be able to determine the appropriate statistical test to use for a particular data set, and you'll know how to understand, calculate, and interpret effect sizes and confidence intervals.

You'll even know how to write the results of statistical analyses in APA format, one of the most popular and accepted formats for presenting the results of statistical analyses, which you can successfully adapt to other formats as needed.

Contents and Overview

This course begins with a brief introduction before diving right into the One Sample t Test, Independent Samples t Test, and Dependent Samples t Test. You'll use these tests to analyze differences and similarities between sample groups in a population. This will help you determine if you need to change your business plan for certain markets of consumers.

Next, you'll tackle how to use ANOVA (Analysis of Variance), including Post-hoc Tests and Levene's Equal Variance Test. These tests will also help you determine what drives consumer decisions and behaviors between different groups.

When ready, you'll master correlation and regression, as well as the chi-square. As with all previous sections, you'll see illustrations of how to analyze a statistical test, and you'll access additional examples for more practice.

Finally, you'll learn about data management in SPSS, including sorting and adding variables.

By the end of this course, you'll be substantially more confident in both You'll know how to use data to come to the right conclusions about your market.

By understanding how to use inferential statistics, you'll be able to identify consumer needs and come up with products and/or services that will address those needs effectively.

Join the over 1,000 students who have taken this best-selling course - enroll today.

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Rating 4.4★ based on 83 ratings 5 total hours On Demand (Start anytime) \$14 Udemy Quantitative Specialists Only via the Udemy mobile app English Data Science Business Data Science Business Development Data & Analytics

## What people are saying

very good

Very good course covering the use of introductory statistics and SPSS.

This is a very good and informative course, the instructor explains the material well and at a slow pace, however the practice materials are missing and it doesn't seem that any instructors are monitoring questions or comments any longer.

easy to follow

Wish it included descriptive statistics as well but regardless it well developed, easy to follow course.

Material is easy to follow and instructor's tone is not monotonous.

inferential statistics

Good aspects: very instructive for basics of inferential statistics, clearly taught, right to the point.

This is recommended for those who hasn't have basis or previous contact with inferential statistics in SPSS, even though, the instructor doesn't replay to questions.

more courses

i really enjoy the course ,the fact that i am lecturer at university on statistics subject, i learned alot based on tutorial you given us thanks alot dear prof.. i wish will have more courses to come on advance statistics.. thanks once again This is really help to me .....It reliable to develop my data analyze skills from basics.

Will definitely look for more courses of this tutor, if needed.

using spss

Now, I am very happy to say, I feel completely comfortable using SPSS - and this is entirely down to these tutorials.

I took this course as professional development at my current job because we were thinking about using SPSS as our analytics tool.

for beginners

Overall,it was a good learning This is very useful to for me for learning chisquare and regression analysis I think this was an excellent course for beginners.

The instructor goes at a good pace and explains everything in detail, which is great for beginners.

statistical tests

However, without more clarity in the course description, I expected more theory to better understand the statistical tests.

This course seems to assume one is already familiar with the statistical tests - it shows you how to use and interpret them in SPSS.

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