Statistics can be an extremely powerful tool if used right, it uses mathematics to perform technical analysis of data. A bar chart can give you a much more easier way to analyse the data in much more goal oriented way. Statistics can help you gain a deeper information about any concept and if you are on your way to becoming a statistician here are five basic concepts you need to be through to make sure that data can be applied effectively.

**Statistical features**

This is one of the most used statistical concept in data science as this is the first teaching any statistics use as it explores the dataset and includes things like bias, variance, mean, median, etc. This is fairly easy to understand this is the main reason why many students opt for getting it done using the help of assignment helpers where they can easily do my stats homework for you.

**Probability distributions**

This is a commonly quantifiable statistical mean where statisticians explore the chances of the event occurring. This represents the probabilities and also all the possible values in the experiments. There are many types of distribution like uniform distribution, Normal distribution, Poisson distribution and many more as they divide the possibilities into three which can give you the right value.

**Dimensionality reduction**

Dimensionality reduction is intuitive to understand as a dataset helps you reduce the number dimensions. There are a number of feature variables where the data set is distributed in a three dimensional as it gives an easy process to look into the large scale of problems. With the help of dimensionality reduction we project all the three dimensional data into two dimensional to effectively reduce the number of points.

**Over and under sampling**

This is a technique used to classify the problem as the data set might be too heavily tipped on one side and over or under sampling can help reduce the problem and help the statistical to easily make predictions. Under sampling involves the means where we select some data from majority class and added it to minority class. Over sampling helps by creating copies of minority class to ensure that there are same number of examples in minority class.

**Bayesian Statistics**

A frequency statistics is where people take probability and apply it to analyse the probability of some event occurring with the data. Now this data is used to help understand the evidence with the help of the probability equation which can help you give the right amount idea to help you analyse if the analysis is true or false. This data will be the right representation of your future data and result.