Certificate Regression Analysis for Business

Name: Certificate Regression Analysis for Business
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The Certificate Regression Analysis for Business is a comprehensive course that equips learners with the essential skills to analyze and interpret business data using regression analysis techniques. This certification is crucial for professionals looking to make data-driven decisions in their organizations, as it provides a solid understanding of the relationships between different business variables.

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AboutThisCourse

In today's data-driven world, there is a high demand for professionals who can analyze and interpret complex business data. This course provides learners with the skills to meet this demand and advance their careers. Learners will gain hands-on experience with regression analysis techniques, including simple and multiple linear regression, polynomial regression, and logistic regression. They will also learn how to interpret and communicate their findings effectively. By completing this course, learners will be able to apply regression analysis techniques to real-world business problems, providing their organizations with valuable insights and driving business success. This course is an excellent opportunity for professionals looking to enhance their analytical skills and advance their careers in business analysis, data science, and related fields.

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CourseDetails

• Introduction to Regression Analysis – Types of regression, simple and multiple linear regression, assumptions and conditions.
• Data Preparation for Regression Analysis – Data collection, cleaning, transforming and coding variables, creating dummy variables.
• Correlation Analysis – Understanding correlation, correlation measures, partial correlation, correlation vs causation.
• Simple Linear Regression – Simple regression model, least squares method, estimating regression coefficients, residual analysis.
• Multiple Linear Regression – Multiple regression model, estimating regression coefficients, multicollinearity, residual analysis.
• Assessing Model Fit – Model fit statistics, coefficient of determination (R-squared), adjusted R-squared.
• Model Selection and Validation – Model selection criteria, stepwise selection, cross-validation, bootstrapping.
• Regression Diagnostics – Checking model assumptions, identifying influential data points, outlier detection.
• Predictive Modeling using Regression – Building predictive models, accuracy assessment, using regression in business decision making.

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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CERTIFICATE REGRESSION ANALYSIS FOR BUSINESS

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London School of International Business (LSIB)

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05 May 2025

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