StatisticsData Analysis with SPSS Descriptive Statistics

Increase Your Descriptive Data Analytic Skills – Highly Valued And Sought After By Employers
StatisticsData Analysis with SPSS Descriptive Statistics
File Size :
1.42 GB
Total length :
3h 24m



Quantitative Specialists


Last update




StatisticsData Analysis with SPSS Descriptive Statistics

What you’ll learn

Learn the basics of the SPSS software program, including how to enter and code values, run analyses, and interpret output
In this course, you will gain proficiency in how to produce and interpret a number of different descriptive statistics in SPSS

StatisticsData Analysis with SPSS Descriptive Statistics


Access to IBM SPSS Software (recommended)


November, 2019.Get marketable and highly sought after skills in this course that will increase your knowledge of data analytics, with a focus on descriptive statistics, an important tool for understanding trends in data and making important business decisions.   Enroll now to join the more than 2000 students and get instant access to all course content!Whether a student or professional in the field, learn the important basics of both descriptive statistics and IBM SPSS so that you can perform data analyses and start using descriptive statistics effectively.          By monitoring and analyzing data correctly, you can make the best decisions to excel in your work as well as increase profits and outperform your competition.          This beginner’s course offers easy to understand step-by-step instructions on how to make the most of IBM SPSS for data analysis.    Make Better Business Decisions with SPSS Data Analysis  Create, Copy, and Apply Value LabelsInsert, Move, Modify, Sort, and Delete VariablesCreate Charts and GraphsMeasure Central Tendency, Variability, z-Scores, Normal Distribution, and Correlation  Interpret and Use Data Easily and Effectively with IBM SPSS          IBM SPSS is a software program designed for analyzing data. You can use it to perform every aspect of the analytical process, including planning, data collection, analysis, reporting, and deployment.          This introductory course will show you how to use SPSS to run analyses, enter and code values, and interpret data correctly so you can make valid predictions about what strategies will make your organization successful.    Contents and Overview          This course begins with an introduction to IBM SPSS. It covers all of the basics so that even beginners will feel at ease and quickly progress. You’ll tackle creating value labels, manipulating variables, modifying default options, and more.          Once ready, you’ll move on to learn how to create charts and graphs, such as histograms, stem and leaf plots, and more. You’ll be able to clearly organize and read data that you’ve collected.          Then you’ll master central tendency, which includes finding the mean, median, and mode. You’ll also learn how to measure the standard deviation and variance, as well as how to find the z-score.          The course ends with introductory statistics video lectures that dive deeper into graphs, central tendency, normal distribution, variability, and z-scores.          Upon completion of this course, you’ll be ready to apply what you’ve learned to excel in your statistics classes and make smarter business decisions. You’ll be able to use the many features in SPSS to gather and interpret data more effectively, as well as plan strategies that will yield the best results as well as the highest profit margins.


Lecture 1 Course Introduction

Section 1: Introduction to SPSS

Lecture 2 Introduction to SPSS

Lecture 3 Creating Value Labels for Groups

Lecture 4 How to Copy and Apply Value Labels Across Several Variables at Once

Lecture 5 Inserting, Moving, and Deleting Variables in SPSS

Lecture 6 How to Insert One or More Cases into SPSS

Lecture 7 How to Sort One or More Variables in SPSS

Lecture 8 Modifying Default Options in SPSS

Lecture 9 How to Change the Columns Displayed in the Variable View Window

Lecture 10 How to Edit SPSS Tables

Lecture 11 How to Copy a Dataset

Lecture 12 How to Save an SPSS Output File as a PDF (for Printing)

Section 2: Creating Charts and Graphs in SPSS

Lecture 13 Creating a Bar Chart

Lecture 14 Creating a Histogram

Lecture 15 Boxplot in SPSS

Lecture 16 Creating a Stem and Leaf Plot

Lecture 17 Creating a Scatterplot

Lecture 18 How to Create a Frequency Distribution Table in SPSS

Lecture 19 Pie Charts

Section 3: Central Tendency, Variability, z-Scores, and Correlation in SPSS

Lecture 20 Measures of Central Tendency: Mean, Median, and Mode

Lecture 21 Measures of Variability: Standard Deviation and Variance

Lecture 22 The Best of both Worlds: The Mean and Standard Deviation

Lecture 23 Obtaining Separate Means for Different Groups

Lecture 24 Finding z-Scores

Lecture 25 Correlation

Section 4: Statistics Videos I – Graphs and Central Tendency

Lecture 26 Mean, Median, and Mode (Measures of Central Tendency)

Lecture 27 Video Review of Quiz – Mean, Median, and Mode

Lecture 28 Central Tendency and Skewed Distributions

Lecture 29 Video Review of Quiz – Central Tendency and Skewed Distributions

Lecture 30 The Weighted Mean

Lecture 31 Video Review of Quiz – The Weighted Mean

Lecture 32 How to Create a Cumulative Frequency Distribution Table

Lecture 33 How to Construct a Stem and Leaf Plot

Lecture 34 Boxplots in SPSS

Lecture 35 Calculating Percentiles in SPSS

Section 5: Statistics Videos II – Variability, Normal Distribution, and z-Scores

Lecture 36 Calculating the Standard Deviation and Variance – Step by Step

Lecture 37 Video Review of Quiz – Standard Deviation and Variance

Lecture 38 Normal Curve and z-Scores (68, 95, 99.7 Rule)

Lecture 39 Properties of the z Score Normal Distribution

Lecture 40 Video Review of Quiz – Properties of the z-Score Normal Distribution

Lecture 41 Solving for z-Scores

Lecture 42 Video Review of Quiz – Solving for z-Scores

Lecture 43 Solving for X Given a z-Score

Lecture 44 Video Review of Quiz – Solving for X Scores Given a z-Score

Section 6: Conclusion & Course Previews

Lecture 45 Preview of Inferential Statistics Course – One sample t Test (Part 1)

Lecture 46 New Upcoming Course by QS – Entering Survey Data and Likert Scales

Lecture 47 Course Conclusion

Students seeking help with SPSS,Professionals desiring to augment their statistical skills ,Anyone seeking to increase their data analytic skills

Course Information:

Udemy | English | 3h 24m | 1.42 GB
Created by: Quantitative Specialists

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