- Platform
- FutureLearn
- Provider
- University Of Auckland
- Effort
- 3 hours/week
- Length
- 8 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Course Link
Overview
Organisations everywhere want to exploit data to predict behaviours and extract valuable real-world insights. You will learn key statistical elements of data science. You will focus on data exploration and discovery, learning what to look for in data, its limitations and avoiding being misled. Our visualisations will help you gain skills quickly, and introduce you to the big ideas that will help you to start understanding our world through data. We want to give you the confidence to dive into data using computer software, to start thinking like a statistician, and an option to code in R.
This course is suited to those new to these areas and those wanting a reminder and fresh perspectives. You will need to be comfortable thinking in terms of percentages and have a level of comfort with using computers.
We use free software. Parallel threads enable you to choose between easy-to-use online software that requires only an internet connection and browser, installed “point-and-click” software, or learning to code in R.
What topics will you cover?
Taught by
Chris Wild
Organisations everywhere want to exploit data to predict behaviours and extract valuable real-world insights. You will learn key statistical elements of data science. You will focus on data exploration and discovery, learning what to look for in data, its limitations and avoiding being misled. Our visualisations will help you gain skills quickly, and introduce you to the big ideas that will help you to start understanding our world through data. We want to give you the confidence to dive into data using computer software, to start thinking like a statistician, and an option to code in R.
This course is suited to those new to these areas and those wanting a reminder and fresh perspectives. You will need to be comfortable thinking in terms of percentages and have a level of comfort with using computers.
We use free software. Parallel threads enable you to choose between easy-to-use online software that requires only an internet connection and browser, installed “point-and-click” software, or learning to code in R.
What topics will you cover?
- Data and its organisation
- Basic statistics
- Making discoveries working with several variables simultaneously
- Sources of error and misconception
- Confidence intervals
- Statistical tests via randomisation
- Seasonal decomposition and forecasting
Taught by
Chris Wild