SPSS Data Analysis for Beginning Researchers

Many people, for good reason, find data analysis challenging. Because data analysis is not a single field, it is tough. It is multi-disciplinary, which implies that it necessitates the integration of information from several domains in order to be completed properly. To undertake data analysis for your research, you will need:

• Knowledge in the data analysis software (e.g. SPSS, Excel, R, etc.)
• Knowledge in statistics concepts
• Knowledge in research methods
• Experience and skills working with data

This course is intended to be brief and useful. This course will not aim to teach you everything there is to know about statistics, SPSS, data analysis, and research since it would be needlessly difficult. Instead, this course will walk you through the essential information and abilities you'll need to evaluate your own data in a disciplined and practical manner. This course will not turn you into a statistician or an expert in SPSS, data analysis, or research, but it will assist you in completing your own data analysis. This is one of the best online SPSS courses.

This is to be achieved by the following:

• Knowledge of the past Each segment of the course starts with a quick overview of the most important statistics principles.
• Demonstrations in the field Every video is based on a real-life scenario. These jobs were hand-picked from a list of the most common types of analysis you're likely to perform.
• Sharing of knowledge Aside from statistics and SPSS, the instructors also provide a lot of their own research and data analysis experience, including how to cope with the most common data challenges, prevent common misunderstandings, and get around some frustrating flaws in SPSS.
• Points to consider. The most important aspects are underlined throughout the video and recapped at the end.
• Exercise. At the end of each segment, there is an exercise. This allows you to put what you've learned in the previous lessons into practice. There are also inquiries that make you think about what you're doing more deeply. A second video is dedicated to demonstrating the answers to these exercise issues, which is suitable.
• References.

What you will learn

• Explain the fundamentals of statistics as well as the many degrees of data measurement.
• Determine the right data analysis procedures for a certain type of data.
• Prepare the data for analysis by cleaning and preparing it.
• Apply standard statistical analysis on the data.
• The findings of hypothesis testing should be reported in the proper format.
• Avoid some of the most typical data analysis blunders.
• Have the knowledge and abilities necessary to examine your own study data.

Who this course is for

• Students who are having difficulty with their research papers or dissertations should seek assistance.
• Researchers with a non-technical background who are just getting started
• Anyone interested in data analysis

Requirements

• Because this is a course for new researchers, minimal prior experience of statistics, data analysis, or SPSS is anticipated.
• A copy of SPSS should be available to the student (version 20 or later recommended).

Instructor: Dr. Haoran Zhang
Udemy rate: 4.1/5.0 (195 ratings)

Enroll here: https://www.udemy.com/course/spss-data-analysis-for-beginning-researchers/