Statistics - The Big Picture
Plan Your Next Study With Confidence!
Have you ever wondered how everything in statistics fits together?
In this course you're going to discover that there are only 7 different parts of statistics, and we're going to dive deep into all of them!
Best of all, you'll learn how to plan every tiny detail of your study from beginning to end so you can see the big picture of your study - even before you've started!
If you're truly interested in making your next study bullet-proof, this course is absolutely unmissable!
Video lessons
Articles
Downloadable resources
Certificate of completion
Interactive experience
Perfect for beginners
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- Content
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- FORUM
- CertificatION
- FAQ
Over the years I’ve taught statistics to hundreds of people, and every one of them had 2 things in common:
But from time to time one of them would say ‘yeah, but that’s only one small part of stats – how does it fit into the bigger picture?’.
I wanted to point them to some resource and say ‘here you go, here it is, the bigger picture – this is how it all fits together’, but I never found such a resource.
So I decided that I was going to create it – and this exclusive course is the result!
It took me months, but I’ve researched all the little nooks and crannies of the statistics universe and I’ve created a mind map of what stats looks like when you pull it all together.
And it’s an absolute beauty!
You want to know where cluster analysis fits into the general scheme of things? What about random forests and artificial neural networks?
Do you know how time series analysis fits in? What about bootstrapping or Bayesian belief networks?
They’re all in here, and more, all in their correct place.
And there’s only one place in the universe that you can get this course – right here!
**Disclaimer**
This course is a work in progress.
As a consequence of your feedback, the following curriculum may be subject to change...
...for the better!
5 of 7 parts now complete!
Your Curriculum
An introduction to the 7 sections of statistics, and to this course.
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CHAPTER HIGHLIGHTS
Introduction to 'Statistics - The Big Picture'
Introduction to the 7 Sections of Statistics
In this chapter you'll learn the fundamentals of probability - and you'll discover that it's not what you think!
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CHAPTER HIGHLIGHTS
Introduction to Probability
Probability Theory
Probability Distributions
Expected Value
Variance & Covariance
Central Limit Theorem
Probability Recap
The focus in this chapter is on the fundamentals of designing your own experiments.
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CHAPTER HIGHLIGHTS
Introduction to Design of Experiments
Comparison
Randomisation
Replication
Blocking
Sequential Design
In this chapter you'll learn everything you need to know about collecting data.
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CHAPTER HIGHLIGHTS
Introduction to data collection
Statistical surveys
Statistical sampling
Storage and processing
Data collection recap
The focus in this chapter is on the fundamentals of data cleaning - the most important part of any analysis!
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CHAPTER HIGHLIGHTS
Introduction to data cleaning
Data Types in Computing
Statistical Data Types
In this chapter you'll learn about the different aspects of exploratory data analysis, and the most important bits that you need to know.
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CHAPTER HIGHLIGHTS
Introduction to Exploratory Data Analysis
Descriptive statistics of numerical data
Descriptive statistics of categorical data
Data visualisation
Exploratory data analysis recap
The focus in this chapter is on learning how to predict the future! Learning the basics of inferential statistics will give you this grounding.
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CHAPTER HIGHLIGHTS
More lessons coming soon!
Here's where you'll learn how and where all the specialised stats topics fit into the big picture.
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Finally, we will review the whole course to reinforce what we've learnt - and then celebrate the end of the course!
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When you've done, you'll get my recommendations for your next steps and which courses you should be considering.
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Get Started for FREE
It's free to get started, with no obligation to buy or register.
Try it now, decide later!
Just click the link on the right to go to the first lesson...
