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
Next Course
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.
Show All
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

Show All
Recommended Courses
free ai-free-basic-course-lecture-11-data-preprocessing-live-session-4962
AI Free Basic Course Lecture 11 - Data Preprocessing Live Session
2.5
Youtube 10,150 learners
Learn More
This AI Free Basic Course Lecture 11 - Data Preprocessing Live Session by Muhammad Irfan Malik is the perfect opportunity for new learners to get an introduction to data preprocessing for machine learning. The lecture covers topics such as data cleaning, feature engineering, and data transformation. Learners can also find additional resources on Muhammad Irfan Malik's social media accounts, including Facebook, Instagram, LinkedIn, Twitter, TikTok, and WhatsApp Community. Don't miss out on this great opportunity to learn more about data preprocessing for machine learning.
free data-preprocessing-in-machine-learning-complete-steps-in-english-4963
Data Preprocessing in Machine Learning Complete Steps - in English
2.5
Youtube 35,527 learners
Learn More
The course "Data Preprocessing in Machine Learning Complete Steps" offers an introductory guide to data preprocessing in machine learning. It covers the entire process of data preprocessing and includes practical implementation examples. The course is designed to be a valuable resource for beginners seeking to enhance their understanding of data preprocessing in the context of machine learning. Additionally, it provides a link to a Hindi Youtube channel for further information.
intro-to-trifacta-clean-your-data-quickly-and-easily-4964
Intro to Trifacta: Clean Your Data Quickly and Easily
4.3
Udemy 766 learners
Learn More
This course provides a comprehensive introduction to Trifacta, a data preparation tool that can help users quickly and easily clean their data. It covers the basics of Trifacta, including how to use its transforms and functions, as well as common pitfalls to avoid. Learners will also gain an understanding of why data preparation is so important and how Trifacta Wrangler can help save time and give them a competitive edge. With this course, users can quickly and easily clean their data and gain a competitive edge.
excel-data-cleaning-fundamentals-4965
Excel Data Cleaning Fundamentals
3.9
Udemy 105 learners
Learn More
This Excel Data Cleaning Fundamentals course is perfect for new learners who want to learn how to detect and fix errors in datasets imported into Excel for analysis. It provides step-by-step instructions, follow-along exercises, case study exercises, and quizzes to teach learners how to use basic to advanced Excel functions, concepts, and techniques in a fast and efficient way. No need for macros or any Excel add-on tools - the techniques taught in this course are simple yet effective. Click now to start learning and become an Excel data cleaning expert!
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet
arrow Click Allow to get free Computerized Data Processing courses!