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Description

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 Labels
Insert, Move, Modify, Sort, and Delete Variables
Create Charts and Graphs
Measure 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. 
Who this course is for:
Students seeking help with SPSS
Professionals desiring to augment their statistical skills
Anyone seeking to increase their data analytic skills

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

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Course Introduction
1
1.1-Course Introduction
2-Introduction to SPSS
11
2.1-Introduction to SPSS
2.2-Creating Value Labels for Groups
2.3-How to Copy and Apply Value Labels Across Several Variables at Once
2.4-Inserting, Moving, and Deleting Variables in SPSS
2.5-How to Insert One or More Cases into SPSS
2.6-How to Sort One or More Variables in SPSS
2.7-Modifying Default Options in SPSS
2.8-How to Change the Columns Displayed in the Variable View Window
2.9-How to Edit SPSS Tables
2.10-How to Copy a Dataset
2.11-How to Save an SPSS Output File as a PDF (for Printing)
3-Creating Charts and Graphs in SPSS
7
3.1-Creating a Bar Chart
3.2-Creating a Histogram
3.3-Boxplot in SPSS
3.4-Creating a Stem and Leaf Plot
3.5-Creating a Scatterplot
3.6-How to Create a Frequency Distribution Table in SPSS
3.7-Pie Charts
4-Central Tendency, Variability, z-Scores, and Correlation in SPSS
6
4.1-Measures of Central Tendency: Mean, Median, and Mode
4.2-Measures of Variability: Standard Deviation and Variance
4.3-The Best of both Worlds: The Mean and Standard Deviation
4.4-Obtaining Separate Means for Different Groups
4.5-Finding z-Scores
4.6-Correlation
5-Statistics Videos I - Graphs and Central Tendency
13
5.1-Mean, Median, and Mode (Measures of Central Tendency)
5.2-Quiz - Mean, Median, and Mode
5.3-Video Review of Quiz - Mean, Median, and Mode
5.4-Central Tendency and Skewed Distributions
5.5-Quiz - Central Tendency and Skewed Distributions
5.6-Video Review of Quiz - Central Tendency and Skewed Distributions
5.7-The Weighted Mean
5.8-The Weighted Mean
5.9-Video Review of Quiz - The Weighted Mean
5.10-How to Create a Cumulative Frequency Distribution Table
5.11-How to Construct a Stem and Leaf Plot
5.12-Boxplots in SPSS
5.13-Calculating Percentiles in SPSS
6-Statistics Videos II - Variability, Normal Distribution, and z-Scores
13
6.1-Calculating the Standard Deviation and Variance - Step by Step
6.2-Standard Deviation and Variance
6.3-Video Review of Quiz - Standard Deviation and Variance
6.4-Normal Curve and z-Scores (68, 95, 99.7 Rule)
6.5-Properties of the z Score Normal Distribution
6.6-Properties of the z Score Normal Distribution
6.7-Video Review of Quiz - Properties of the z-Score Normal Distribution
6.8-Solving for z-Scores
6.9-Solving for z-Scores
6.10-Video Review of Quiz - Solving for z-Scores
6.11-Solving for X Given a z-Score
6.12-Solving for X Given a z-Score
6.13-Video Review of Quiz - Solving for X Scores Given a z-Score
7-Conclusion & Course Previews
3
7.1-Preview of Inferential Statistics Course - One sample t Test (Part 1)
7.2-New Upcoming Course by QS - Entering Survey Data and Likert Scales
7.3-Course Conclusion