Computerized Data Processing

Course Feature

Cost

Free
Provider

Udemy
Certificate

No Information
Language

English
Start Date

2023-05-04
Learners

No Information
Duration

No Information
Instructor

Brindusa Covaci,Mihai Covaci

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1.5

177 Ratings

This course is perfect for new learners who want to learn the principles of statistical analysis and the appropriate application of statistical techniques. It covers the main stages of a research project, from formulating the research problem to collecting data and analyzing the results. It also introduces learners to the basic terms and tools used in data processing, such as methods, techniques, and tools like the psychological survey and the questionnaire. Furthermore, it emphasizes the importance of real numbers (rational, whole, natural) in data processing. If you are looking to gain a better understanding of computerized data processing, this course is for you.

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides an introduction to the principles of statistical analysis and the appropriate application of statistical techniques. Learners will gain an understanding of the main stages of a research project, from formulating the research problem to collecting data and analyzing the results. Additionally, learners will be introduced to the basic terms and tools used in data processing, such as methods, techniques, and tools such as the psychological survey and the questionnaire. The importance of real numbers (rational, whole, natural) in data processing will also be emphasized.

Course Syllabus

Introduction

Data measurement

Normality distribution

Measurements in statistics

Threshold of significance

Simple t-test

Two-sample t-tests

One-way ANOVA

Questionnaires and hypotheses

Two-way ANOVA

Pearson correlation

Interpretation of the results

References

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