SPSS Statistics Foundation Course: From Scratch to Advanced
4.3 (38 ratings)
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SPSS Statistics Foundation Course: From Scratch to Advanced

A complete step by step course to master IBM SPSS Statistics for doing advanced Research & Data Analysis
4.3 (38 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.
769 students enrolled
Last updated 3/2017
English
Current price: $10 Original price: $200 Discount: 95% off
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Includes:
  • 8 hours on-demand video
  • 7 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
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Curriculum For This Course
Expand All 95 Lectures Collapse All 95 Lectures 07:55:56
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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

Downloading SPSS Grad Pack: Student Version
01:23
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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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Data Entry: Learning to Enter Data in SPSS
13 Lectures 56:52

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables
06:01

Variable Type: Comma & Dot
05:24

Variable Type: Scientific Notation
02:21

Variable Type: Date and Time Stamps
02:55

Variable Type: Dollar
01:14

Variable Type: Custom Currency
04:24

Variable Type: String
01:51

Variable Type: Restricted Numeric
03:16

Defining Values & Labels
03:45

Defining Missing Values: Discrete, Range & System-Missing Values
04:45

Setting Columns & Alignment
02:45

Defining Measures: Scales of Measurement
11:02
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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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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
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Multiple Regression: Causal Effect of Many IVs on One DV
11 Lectures 43:21

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS
04:04

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS
02:28

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS
01:44

Assumptions 4: Multivariate Normality & Testing it in SPSS
00:49

Assumptions 5: Multicollinearity & Testing it in SPSS
03:06

Choosing a Method of Multiple Regression: Enter Method
03:24

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method
05:32

Choosing a Method of Multiple Regression: Backward Elimination Method
04:30

Running Stepwise and Forward Selection Method of Regression in SPSS
06:07

Choosing a Method of Multiple Regression: Remove Method
03:59
3 More Sections
About the Instructor
Dr. Sanjay Singh
4.3 Average rating
47 Reviews
984 Students
2 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).

He has worked for prestigious institutions like University of Delhi & Indian Institute of Technology, Delhi, and is currently a full time faculty at a premier business school located in Delhi. He has been involved in academic teaching and training for over 7 years along with training and consulting to different companies for data analysis, psychometric assessment, and development of research and analytical skill that can enhance the productivity and growth of people and organizations.

Dr. Singh has trained at reputed organizations like Ernst & Young, DRDO, University of Delhi for IBM SPSS/AMOS and has received excellent rating for his training programs. He has consulted analytics, psychometric and human resource organizations in India and abroad for quantitative project planning, developing customized and culture fair psychometric tests and refinement of quantitative models.He has also consulted students and faculty from reputed institutions like London School of Economics, UK, University of Tallin, Estonia, University of Sydney, Australia, and Faculty of Management Studies, University of Delhi on research and analytics related projects.

Dr. Singh strongly believes that learning can be fun and use of technology in learning can make it even more exciting. As a researcher he loves working at the interface where scientific research, human behaviour and technology meet.

Yogita Aggarwal
4.3 Average rating
38 Reviews
769 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.