SPSS Masterclass: Learn SPSS From Scratch to Advanced
4.4 (95 ratings)
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SPSS Masterclass: Learn SPSS From Scratch to Advanced

A complete step by step course to master IBM SPSS Statistics for doing advanced Research, Statistics & Data Analysis
4.4 (95 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,155 students enrolled
Last updated 8/2017
English
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Current price: $10 Original price: $200 Discount: 95% off
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Includes:
  • 14.5 hours on-demand video
  • 11 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Analyse any type of numerical data using SPSS with confidence
  • Independently plan your research study from scratch.
  • Understand the research design and results presented in high quality journal articles
  • Do data analysis accurately and present the results in standard format.
View Curriculum
Requirements
  • The course is built from scratch so no prior knowledge of SPSS or Statistics is required. We cover all the required details in the course both theory and practical part.
  • The learners must have a copy of SPSS software to practise the steps taught in this course.
Description

Data is the new frontier of 21st century. 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. This course aims to equip learners with ability of independently carrying out in-depth data analysis with professional confidence and accuracy. It will specifically help those looking to derive business insights, understand consumer behaviour, develop objective plans for new ventures, brand study, or write a scholarly articles in high impact journals and develop high quality thesis/project work.

A good knowledge of quantitative data analysis is a sine qua none for progress in academic and corporate world. Keeping this in mind this course has been designed in such way that students, researchers, teachers and corporate professionals who want to equip themselves with sound skills of data analysis and wish to progress with this skill can learn it in in-depth and interesting manner using IBM SPSS Statistics.

Lesson Outcomes

On completion of this course you will develop an ability to independently analyze and treat data, plan and carry out new research work based on your research interest. The course encompasses most of the major type of research techniques employed in academic and professional research in most comprehensive, in-depth and stepwise manner.

Pedagogy

The focus of current training program will be to help participants learn statistical skills through exploring SPSS and its different options. The focus will be to develop practical skills of analyzing data, developing an independent capacity to accurately decide what statistical tests will be appropriate with a particular kind of research objective. The program will also cover how to write the obtained output from SPSS in APA format.

Pre-requisite

A love for data analysis and statistics, research aptitude and motivation to do great research work.

Who is the target audience?
  • PhD students and researchers looking to master SPSS skills and publish in high impact journals
  • Professionals looking for a career in analytics in corporate sector
  • Faculty members looking to master SPSS and advance their data analysis skills
Compare to Other SPSS Courses
Curriculum For This Course
190 Lectures
14:29:44
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Introduction
1 Lecture 03:42

This lecture tells you about instructor expertise and his SPSS bio and how he can make a significant difference to your research life. 

Preview 03:42
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Downloading and Installing SPSS
2 Lectures 11:21

This video lecture guides students in a step wise manner about downloading IBM SPSS Statistics 24 and installing it on a Windows laptop/computer. 

Preview 09:58

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Conceptual Foundation of Statistics
2 Lectures 12:59
Statistics: Definition and Types
03:09

Parametric vs Non-Parametric Statistics: Assumptions
09:50
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Working with Various File Types in SPSS
3 Lectures 24:43

This lecture gives an overview of various types of data files that can be opened in SPSS Statistics. 

Preview 11:31

In this lecture you will learn how to open an Excel data file in SPSS. 

Opening an Excel data file in SPSS
05:33

In this lecture you will lean how to open a CSV file type in SPSS using data import wizard. 

Opening a Comma Separated or CSV file type in SPSS
07:39
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Descriptive Statistics using SPSS
17 Lectures 01:07:43
Setting Data for Descriptive Analysis
03:15

Types of Descriptive Statistics
06:22

Understanding Three Different Descriptive Tabs in SPSS
05:13

Calculating Frequencies
10:00

Descriptives Analysis Using Crosstab
04:28

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses
04:09

Calculating and Interpreting Mean, Median & Mode
05:33

Confirming Mode with Frequencies
02:10

Explore Option: Calculating Grouped Descriptives
05:16

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean
02:48

5% Trimmed Mean: Concept, Use & Interpretation
01:01

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range
01:55

Quartiles and Inter-Quartile Range using Explore Option
02:44

Skewness and Kurtosis: Fundamentals Explained
02:39

Calculating & Interpreting Significance Level of Skewness
05:19

Kurtosis: Calculation, Interpretation and Understanding Significance Level
03:13

Standard Error of Mean: Concept, Calculation & Interpretation
01:38
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Independent Sample t-test: Comparing Two Independent Group Means
4 Lectures 19:22

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)
03:57

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI
04:13

APA Style write-up for Independent Sample t-test
03:47
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Paired Sample t-test: Comparing Differences between Two Correlated Group Means
4 Lectures 12:52

Calculating Paired Sample t-test in SPSS
04:37

Interpreting Paired Sample t-test Output
03:02

APA Style write-up for Paired Sample t-test
02:18
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One-Way ANOVA: Comparing Differences between More than Two Groups
7 Lectures 27:01

Calculating One-Way ANOVA in SPSS
03:08

Interpreting ANOVA output: Descriptive Statistics
03:05

Interpreting Output: ANOVA Summary Table
03:51

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc
05:47

Trend Analysis & Means Plot in ANOVA
05:55

Contrast Analysis in ANOVA
03:20
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Linear Regression: Cause and Effect Analysis of One IV on One DV
5 Lectures 15:35

When to Use Linear Regression Vs. Multiple Regression?
01:44

Defining SPSS Input Options for Linear Regression
02:03

Interpreting Linear Regression Output: Variables & Model Summary
05:06

Interpreting Linear Regression Output: Constant, B, Beta, SE & t
05:31
7 More Sections
About the Instructor
Dr. Sanjay Singh
4.4 Average rating
129 Reviews
1,450 Students
3 Courses
Assistant Professor, Erasmus Mundus WILLPower Fellow

Dr. Sanjay Singh has over 7 years of teaching and research experience and has done his Masters and Doctoral Degree from University of Delhi, India. He have been recipient of Erasmus Mundus-WILLPower fellowship awarded by European Union. During the tenure of his fellowship he studied and worked at the University of Padova, Venice, Italy at the Centre for Risk and Decision-making (CeRD).

Publications:

1. Sanjay Singh & Yogita Aggarwal (2017). Happiness at Work Scale: Construction and psychometric validation of a measure using mixed method approach. Journal of Happiness Studies. doi:10.1007/s10902-017-9882-x. Springer 

2. Yogita Aggarwal & Sanjay Singh (2017). Antecedents and consequences of work significance in Indian organizations. Journal Management, Spirituality and Religion. doi: 10.1080/14766086.2017.1320580. Taylor & Francis


Yogita Aggarwal
4.4 Average rating
95 Reviews
1,155 Students
1 Course
Assistant Professor & Quantitative Analyst

I am Yogita Aggarwal with teaching and research experience of over 10 years. Teaching and sharing my knowledge with others have been my passion. I am excited to convey my ideas and expertise to learners around the world through Udemy.I hope you will greatly benefit with content of courses that I have designed and be successful in your goals.