Certificate in Data Regression Analysis Basics
-- ViewingNowThe Certificate in Data Regression Analysis Basics is a comprehensive course designed to empower learners with essential skills in data analysis. This program focuses on regression analysis, a critical technique used to examine the relationship between variables, predict future trends, and make data-driven decisions.
6.170+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
AboutThisCourse
HundredPercentOnline
LearnFromAnywhere
ShareableCertificate
AddToLinkedIn
TwoMonthsToComplete
AtTwoThreeHoursAWeek
StartAnytime
NoWaitingPeriod
CourseDetails
• Introduction to Data Regression Analysis: Defining regression analysis, understanding its importance, and getting familiar with the basic concepts.
• Types of Regression Analysis: Simple and multiple linear regression, polynomial regression, logistic regression, and Ridge and Lasso regression.
• Data Preparation for Regression Analysis: Data cleaning, missing value imputation, variable scaling, and creating dummy variables.
• Assessing Regression Models: Evaluating model assumptions, calculating residuals, and assessing model fit.
• Linear Regression Analysis: Creating and interpreting linear regression models, understanding the coefficients, and assessing model significance.
• Multiple Linear Regression Analysis: Building and interpreting multiple linear regression models, addressing multicollinearity, and performing variable selection.
• Polynomial Regression Analysis: Creating and interpreting polynomial regression models, understanding the role of degree and curvature, and building models with higher-order terms.
• Logistic Regression Analysis: Building and interpreting logistic regression models, understanding odds ratios, and distinguishing between binary and multinomial logistic regression.
• Regression Diagnostics: Identifying influential observations, outliers, and high-leverage points, and assessing their impact on model performance.
• Model Selection and Validation: Comparing models, selecting the best model, and validating its performance through cross-validation, bootstrapping, and hold-out methods.
CareerPath
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
NoPriorQualifications
CourseStatus
CourseProvidesPractical
- NotAccreditedRecognized
- NotRegulatedAuthorized
- ComplementaryFormalQualifications
ReceiveCertificateCompletion
WhyPeopleChooseUs
LoadingReviews
FrequentlyAskedQuestions
CourseFee
- ThreeFourHoursPerWeek
- EarlyCertificateDelivery
- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
- RegularCertificateDelivery
- OpenEnrollmentStartAnytime
- FullCourseAccess
- DigitalCertificate
- CourseMaterials
GetCourseInformation
EarnCareerCertificate
