Udemy – Regressions & Correlation 2024-7

Udemy – Regressions & Correlation 2024-7 Downloadly IRSpace

Apr 18, 2025 - 05:16 Updated: Apr 21, 2025 - 11:39

0 0

Udemy – Regressions & Correlation 2024-7

Regressions & Correlation course. This statistics course will help you understand the intricacies of statistical relationships and predictive modeling. This course is carefully designed for those seeking a deep understanding of correlation, regression and their vital role in data analysis.

What you will learn

Understanding the basic concepts of correlation and regression in statistical analysis.
Identifying different types of correlation and their effects in different data sets.
Calculating the correlation coefficient (r) to measure the strength and direction of linear relationships.
Create scatter plots to visualize data relationships and identify linear patterns.
Interpret scatter plots to determine the presence or absence of correlation.
Applying simple linear regression principles to model the relationship between two variables.
Analyzing the residuals and using the least squares method to minimize them.
Evaluating the difference between correlation and causation, detecting false correlations.
Demonstrate examples of statistical relationships using real-world data scenarios.
Criticizing misinterpretations of data relationships, emphasizing the importance of accurate analysis.

This course is suitable for people who

Data Analysts: Professionals who analyze data and need a stronger understanding of correlation and regression techniques to improve their analyses.
Business professionals: People in business roles such as marketing, finance, and operations who use data for decision making and strategy.
Students: Students studying in fields such as data science, economics, psychology, sociology, and other fields where data analysis is necessary.
Anyone interested in data analysis: Individuals with a curiosity about data and its applications, seeking to acquire practical skills in understanding and interpreting statistical relationships.

Regressions & Correlation course specifications

Publisher: Udemy
Lecturer: Robert (Bob) Steele
Training level: beginner to advanced
Training duration: 2 hours and 37 minutes
Number of courses: 9

Course headings

Regressions & Correlation course prerequisites

Basic Mathematical Skills: A foundational understanding of basic arithmetic, algebra, and mathematical concepts.
Introduction to Statistics: Prior exposure to basic statistical concepts such as mean, median, mode, and standard deviation.
Computer Literacy: Proficiency in using a computer for basic tasks, including file management and internet navigation.
Data Handling Skills: Familiarity with data entry, manipulation, and basic spreadsheet functions (though no specific software, like Excel, will be required).
Analytical Thinking: An aptitude for logical reasoning and problem-solving.