University of Lincoln
- Start Date: 12 Aug, 2024
- 2 weeks
- Study Content: Videos
Delve further into the world of inferential statistics by learning about combined data, from cleaning data to factor analysis.
Course Fee: Free
Certificate Cost: See Fees and Eligibility
Course Description
This course is made available through the eLearnAfrica and FutureLearn partnership.
Discover hidden patterns in data, enhancing your insights and decision-making
Whether you’re a biologist or an economist, the ability to comprehend, interpret, and derive insights from complex datasets is fundamental for many roles.
Join this online course from the University of Lincoln to develop a deeper understanding of combining data from multiple sources on a conceptual and practical level.
In just three weeks, you’ll gain advanced techniques and tools to support you in making comprehensive analyses and informed decisions, allowing you to tackle real-world data challenges.
Transform your data by organising and combining variables
You’ll begin this course by learning how to clean your data and create strategies for what to do if missing values exist. As the course progresses, you’ll explore how data transformation works and the methods for rescaling variables.
Master advanced statistical techniques, including factor and reliability analysis
When combining data, it’s often helpful to perform reliability analysis. This will help you assess the underlying structure and data consistency, ensuring reliability and quality before integration.
You’ll finish this course by learning how to reduce data through factor analysis and principal component analysis.
Learn from the University of Lincoln’s Experts on Statistics
The University of Lincoln’s experts on Statistics has developed innovative approaches to teaching statistical concepts, including courses that do not require learners to have extensive maths backgrounds. They will be there to guide you throughout this course.
Once you’ve finished this course, you can consider joining the next course from the University of Lincoln: Learn Descriptive Statistics without Maths: Regressions.
This course is designed for anyone interested in statistics and data analysis. You don’t need a maths background, but it may be helpful to refresh your skills with the course Learn Descriptive Statistics without Maths: Correlations.
To really understand data analysis, you will need to also spend some time to learn using the techniques taught on the course. There are lots of different programmes that you can use - please choose the one you are comfortable with. Jamovi is one such option and the one we use within the course:
Jamovi. This is a free software that you can download onto your computer. A cloud version is available but requires you to create an account and has some limitations in functionality. You can download this at https://jamovi.org/.
Alongside this, we recommend you work through the step-by-step Jamovi guides available on the StatsMadeEasy Website - link.
Certificate cost may vary. You will be redirected to the host page for cost and payment options.
University of Lincoln
This university is part of the partnership between eLearnAfrica and FutureLearn.
This institution is available on eLearnAfrica through partnership with FutureLearn.
COLLABORATION POLICY
By enrolling in a course on or through eLearnAfrica, you are joining a special worldwide community of learners. The aspiration of eLearnAfrica is to provide anyone with an internet connection access to courses from the best universities and institutions in the world and to provide our learners the best educational experience internet technology enables. You are a part of the community that will help eLearnAfrica achieve this goal. eLearnAfrica depends upon your motivation to learn the material and to do so with honesty and academic integrity. In order to participate in eLearnAfrica, you must agree to the Honor Code below and any additional terms specific to a class.
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Complete all tests and assignments on my own, unless collaboration on an assignment is explicitly permitted.
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VIOLATIONS
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Receiving a zero or no credit for an assignment;
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Termination of your use of the App and/or Site.
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CHANGING THE HONOR CODE
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Effective Date: September 22, 2016