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Take the first steps to become a skilled data analyst by completing this self study pack. This self study pack will break down key terms and provide step-by-step guides to help you learn beginners’ level statistics.
Data skills are becoming increasingly valued by employers. As a result, a range of degrees and careers require us to have a basic understanding of statistics to help us raise and respond to important questions. Often, we find statistics and other aspects of numeracy daunting. Therefore, this self study pack is suitable for individuals who are either new to statistics or need to refresh their knowledge of statistics. This self study pack utilises videos, step-by-step guides and interesting examples to help you learn about statistics. By the end of this self study pack, you will be able to use Google Sheets to analyse real-world data. Our other self study packs will provide you with the opportunity to learn more challenging data analysis techniques. 

Important: To access this course, you’ll need to enrol:[

Key InformationPoints40Effort10 hoursPrerequisitesnoneRelease Date05 November 2020
Author Info

Dr Simon Massey is a Lecturer in Quantitative Research Methods for the Q-Step Centre at Manchester Met. Simon teaches Statistics to Undergraduate and Postgraduate social science students. His current research focuses on Children’s Attitudes to Mathematics.

Kim Dunnell is a final year BSc Mathematics student at MMU. She runs a tutoring agency called ‘Manchester Maths and English Tuition’ alongside her University studies.