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Spss Masterclass: Learn Spss From Scratch To Advanced
Last updated 10/2024
Created by Scholarsight Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 495 Lectures ( 40h 32m ) | Size: 13.8 GB[/center]

The Only Course You Will Ever Need to Learn IBM SPSS Statistics, Research, & Data Analysis Scratch to Advanced Level
What you'll learn
Analyse any type of numerical data using SPSS with confidence
Independently plan your research study and Data Analysis from scratch.
Understand the research design and results presented in high quality journal articles
Do data analysis accurately and present the results in APA format.
Data Entry and Data Cleaning in SPSS
Data Organization Using SPSS
Data Transformation Using SPSS
Sample as well as Population Level Descriptive Analysis Using SPSS
Analysis of Group Differences Using t-Test and ANOVA
Linear and Multiple Regression Analysis in SPSS
Hierarchical and Advanced Regression Analysis in SPSS
Logistic Regression
Exploratory Factor Analysis (EFA)
Chi-Square and Measures of Association
Reliability Analysis and Scale Validation Using SPSS
Graphical Representation and Advanced Data Visualization Using SPSS
Moderation and Mediation Analysis Using PROCESS Macro in SPSS
General Linear Modelling Vs. Generalized Linear Modelling in SPSS
Repeated Measure ANOVA
Correlational Analysis in SPSS
Analysis of Associations in SPSS
Analysis of Covariance (ANCOVA)
Multivariate Analysis of Variance (MANOVA)
SPSS Programming Using Python
Ratio Statistics in SPSS
TURF Analysis in SPSS
Survival Analysis
Meta Analysis
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 OutcomesOn 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.PedagogyThe 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-requisiteA love for data analysis and statistics, research aptitude and motivation to do great research work.
Who this course is for
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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