Woooow! Are you at university and you don't understand what your statistics teacher is talking about? Here I will explain everything in an easy way :) Just day to day examples, and you will learn that statistics is not hard at all ;) A lot of my students who first did not pass statistics get not only a pass but a really high grade :)
Of course this will not be a completely tailored course for you, (every statistics subject is different), like my private lessons, but I will structure it for you in such a way that you only have to learn the subjects which are relevant for you! This will mean that you can skip a lot of lessons. But hey, perhaps you will become a statisitics geek, and you can finish all the lessons (hahahaha, don't think so!)
I guess to finish one statistics subject on average you will need around 40 hours, but for some people it can be much more or much less.
In this course you will find:
In the next course I will explain everything about the Normal Distribution (and explain also other distributions) (Coming soon!)
And afterwards all inferential statistics (hypothesis testing) (coming soon!)
And in my last course (Statistics Explained Easy - SPSS) (Already available), I explain completely to you how SPSS works! (Statistical package which will do all the calculation for you ;) )
Anyway, please look through the course topics (Curriculum) and watch (some of) my preview videos :)
See you inside the course!
Cheers from the Netherlands,
I'm explaining you how the summation sign (Big Greek letter Sigma) is used in Statistics.
I'm explaining you how the 'Exclamation' sign (!) and the combination work.
What is the difference between the Population and Sample and how does this effect notations.
Learning the 4 measerement levels, Nominal, Ordinal, Interval and Ratio. (Interval and Ratio are sometimes explained as 1 level together, called Scale)
Test if you understand the differences between those scales
The Measurement of Central Tendency, What number is in the 'Middle'? And what is the middle? Three ways of calculating the middle point.
Standard deviation is by approximation the average distance to the mean. Degrees of Freedom is mostly calculated by N-1 (N=number of observations). But what does is mean?
Important exercise! Comes back in a lot of statistics Studies
If one variable changes, does this has an influence on another variable?
Don't ask me what is Covariance, your teacher will also not ask you ;) But important to know how to calculate it ;)
Example Sample Covariance
Exercise Population Covariance.
Let's see what you've learned from this course :)
Fun, interesting, social.
That's the reason I teach.
While studying my master degree (at Tilburg University), I was already teaching other students. Not only individuals but I was also giving tutorships to small classes.
After my study I went backpacking in Australia and afterwards I started a traineeship at one of the biggest Insurance companies (Achmea). Next to that work I was always teaching just because I love it. In the evening hours I went to the teaching academy to learn more and more about teaching and afterwards I decided to startup my own business specialized in Math and Statistics.
Now after years of experience of trial and error, I experience that the way I explain statistics to my students became super efficient. Now my next step in my carreer is to not explain it to students studying in the Netherlands but to students all over the world.
What's a better way to that than on Udemy?