Certificate of Achievement
has completed the following course:
An Introduction to Statistics and Data Literacy
This course explored fundamental statistical concepts and key principles of data literacy. It examined hypothesis testing, correlation analysis, and predictive techniques to establish a strong theoretical foundation. Additionally, it covered different data types, metadata, and various data collection methods and sources.
2 weeks, 4 hours per week
Mairéad Nic Giolla Mhichíl
Dr. Mairéad Nic Giolla Mhichíl Associate Professor of Information Technology and Senior Research Fellow, Director of Micro-Credential Strategy & Innovation, Head of DCU Studio, Dublin City University
Dublin City University
Transcript
Learning outcomes
- Understand how to summarise data.
- Identify representative values.
- Analyse variations in data.
- Make predictions based on data.
- Describe the fundamental concepts of data literacy and analytics, the key steps in the analytics process, and the applications and implications of data analytics.
Syllabus
Week 1 - Introduction to Statistics
- Introduction to Statistics
- Central Tendency
- Dispersion
- Probability
- Hypothesis Testing, Correlation & Regression
Week 2 - Introduction to Data Literacy and Analytics
- Introduction to Data Literacy
- Types of Data
- Data Types
- Metadata
- Data Collection
- Data Sources
Issued on 8th April 2025
The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.
This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.