Brief Introduction
Explore the ideas and methods behind the statistics you encounter in everyday life.
Description
Data is everywhere, from the media to the health sciences, and from financial forecasting to engineering design. It drives our decisions, and shapes our views and beliefs. But how can we make sense of it?
This course introduces some of the key ideas and concepts of statistics, the discipline that allows us to analyse and interpret the data that underpins modern society.
In this course, you will explore the key principles of statistics for yourself, using interactive applets, and you will learn to interpret and evaluate the data you encounter in everyday life.
No previous knowledge of statistics is required, although familiarity with secondary school mathematics is advisable.
Logo image: (C) The University of Edinburgh 2016 CC BY, derived from Waverley Bridge, by Manuel Farnlack on Flickr, 2010 CC BY
Knowledge
- After completing this course, you'll be able to:
- Understand the key principles of statistics;
- Interpret and evaluate the kinds of data found in everyday life;
- Perform, and interpret results from, simple statistical analyses.
Learn Data Science Deep Learning, Machine Learning NLP & R
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Learn Data Science, Deep Learning, Machine Learning, Natural Language Processing, R and Python Language with libraries || DATA SCIENCE || What Does a Data Scientist Do?...
Financial Modeling for Algorithmic Trading using Python
- 3.9
-
![]()
![]()
![]()
![]()
![]()
A practical guide to implementing financial analysis strategies using Python Video Learning Path Overview Technology has become an asset in finance....
Business intelligence and data analytics: Generate insights
- 4.6
-
![]()
![]()
![]()
![]()
![]()
‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future....
Practical Predictive Analytics: Models and Methods
- 4.1
-
![]()
![]()
![]()
![]()
![]()
Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods....
