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Learn how to make a genuine difference in your life by taking our popular [course_title]. Our commitment to online learning and our technical experience has been put to excellent use within the contents of these educational modules. By enrolling today, you can take your knowledge of Statistics to a whole new level and quickly reap the rewards of your study in the field you have chosen.
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Please note that [course_title]Â provides valuable and significant theoretical training for all. However, it does not offer official qualifications for professional practices. Always check details with the appropriate authorities or management.
By completing the training in [course_title] you will be able to significantly demonstrate your acquired abilities and knowledge of Statistics . This can give you an advantage in career progression, job applications, and personal mastery in this area.
This course is designed to provide an introduction to [course_title]Â and offers an excellent way to gain the vital skills and confidence to start a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Full-time and part-time learners are equally supported and it can take just 20 to 30 hours to gain accreditation, with study periods being entirely customisable to your needs.
Once you have completed all the modules in the [course_title]Â course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.Â
The learners have to successfully complete the assessment of this [course_title] course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. The learner can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39.
Module 01: Introduction to the Course | |||
Introduction | 00:03:00 | ||
Module 02: Simple Linear Regression | |||
Install R, RStudio and Basic Functionality | 00:08:00 | ||
Basics of Linear Regression | 00:03:00 | ||
Basics of Linear Regression continued | 00:03:00 | ||
Module 03: Linear Regression Analysis | |||
Linear Relationships | 00:09:00 | ||
Line of Best Fit, SSE and MSE | 00:05:00 | ||
Linear Regression Analysis Continued | 00:02:00 | ||
Regression Results and Interpretation | 00:11:00 | ||
Predicting Future Profits | 00:13:00 | ||
Statistical Validity Tests | 00:09:00 | ||
Statistical Validity Discussion | 00:07:00 | ||
Module 04: Multiple Linear Regression | |||
Multiple Linear Regression | 00:06:00 | ||
Importing the data | 00:04:00 | ||
Correlation Matrix and MLR | 00:08:00 | ||
MLR Results and ANOVA | 00:07:00 | ||
The Best Model? | 00:05:00 | ||
Interaction Terms and Validity Testing | 00:18:00 | ||
ANOVA and Predictions | 00:18:00 | ||
Module 05: Non-linear Regression | |||
Non-linear Regression (and Recap) | 00:07:00 | ||
Logistic Regression Overview | 00:22:00 | ||
Logistic Regression: Odds, Logs and Poisson | 00:13:00 | ||
Logistic Regression: Fitting the Models in R | 00:24:00 | ||
Assignment | |||
Assignment – Statistical Concepts in R | 00:00:00 |
3699
4.5
£25
3634
4.7
£25