Module 04
Statistics and probability
Sampling, distributions, hypothesis tests, effect size, power and resampling — the statistics course from the bootcamp, in Python.
Outcome
What you will be able to do
You can quantify uncertainty in a result and defend whether a difference you measured is real.
Lessons
Work through these in order
- 01Some Important Statistical ConceptsIn data science, we infer information based on sample. Therefore, we need to have a reliable and representative sample space drawn from population. As population is a collection of data that consists… 8 min
- 02Central Tendency and Dispersion MeasuresWe can use the randn() NumPy function to generate a sample of random numbers drawn from a Gaussian distribution. There are two key parameters that define any Gaussian distribution; they are the mean… 8 min
- 03Simple Data VisualisationIt is the foundation for many other plotting libraries and plotting support in higher-level libraries such as Pandas. The Matplotlib provides a context, one in which one or more plots can be drawn… 8 min
- 04Random NumbersThe pseudorandom number generator is a mathematical function that generates a sequence of nearly random numbers. It takes a parameter to start off the sequence, called the seed. The function is… 8 min
- 05Effect Size and Statistical PowerThe association between variables is often referred to as the r r family of effect size methods. This name comes from perhaps the most common method for calculating the effect size called Pearson’s… 8 min
- 06ResamplingObservations made in a domain represent samples of some broader idealized and unknown population of all possible observations that could be made in the domain. Statistical sampling is the process of… 8 min
- 07Estimation StatisticsThe tolerance interval is a bound on an estimate of the proportion of data in a population. The interval is limited by the sampling error and by the variance of the population distribution. Given the… 8 min
- 08NormalityA simple and commonly used plot to quickly check the distribution of a sample of data is the histogram. In the histogram, the data is divided into a pre-specified number of groups called bins. The… 8 min
- 09Statistical DistributionsNormal distribution is the distribution we hear the most and it is not for no reason. Normally distributed data can be find in many fields such as pyhics and finance. This is not the only reason that… 8 min
Assessment
Module quiz — 70% to pass
6 questions mixing concept checks and short code-output problems. Graded on the server with per-question explanations afterwards, unlimited retakes, and a badge with a verification code the moment you pass.