Fundamentals of statistics you need to know to start your data science career

What is Statistics? 🤔

Generally, statistics are applied for collecting, organizing and analyzing the data(a piece of information). In other words, analyzing the numerical information and extracting information from data.

A Statistic is a measure that tells only a Sample of the population. Eg: Conducting a Quiz to Question random (voluntary) people.

Descriptive Statistics And Inferential Statistics:

Descriptive Statistics: It involves the method of picturing information observed from samples and population

Inferential statistics: Method of using information from a sample to conclude the population.


A parameter (P) describes the enter population Eg: Conducting a quiz to question random (voluntary) people

Population Vs sample:

Population :

How to become an expert in python programming

In this article, we will discuss python from beginner to expert. To understand python there are no prerequisites is needed as I already told python if for everyone. I would like to thank freeCodeCamp and GUVI are helped me to understand complexity in python.

History of python
Integrated Development Environment :
Installation :
Python installed or not
What is a Comment?
Run python
Data types in python
working with string
Escape character

History of python :

A python is an object-oriented programming language that was created by Guido van Rossum and…

understand the probability distribution used for ML

What is probability Distribution ?
Standard Deviation
Types of Probability Distribution
Discrete Distributions

What is probability Distribution ?

Notation :

P(Y=y) or P(y)

A distribution can be carried out by the following characteristics

What is Mean ?


Read about sets and events for free in just 3 minutes

1. Sets and Events :

Non-Empty Set :

Example :


Representing not a part of set :-

Read about the basics of Combinatorics for free in just 3 minutes

Combinatorics deals with combinations of objects from a finite set. In order to perform combinatorics, they have some restrictions (condition) like avoiding repetition and order to get a number of favorable outcomes.

Types of Combinatorics :

Combinatorics has three parts, Namely

I.Permutation :

Photo by Sigmund on Unsplash

Fundamentals of statistics

Hi, if you are started to learn data science? then this article is for you I have already shared my experience of what I Learned in Statistics to kickstart my Data Science career, this is the continuation of the “Learn Statistics for data science” if you haven’t read I would suggest you go for it to have clear knowledge about statistics😃.

Let us see the fundamental of statistics…


Generally, cybersecurity is used to prevent data exploitation from network attacks or unauthorized entry. The NIST — National Institute of Standards and Technology provides a set of rules to prevent and protect data from illegal entry.

CIA Triad :

The principle of CIA stands for Confidentiality, Integrity, Availability, which is used to protect information from unauthorized access, modification.

Confidentiality: Prevents data from the illegal approach.

Integrity: integrity will secure information like data encryption. This uses hash values for data integrity verification. Eg: downloading os from the internet later verification is made to install the operating system.

Availability: This verifies that hardware components, software…

Continuous Distribution 🚙

The continuous Distribution follows

Normal Distribution

Student T Distribution

Logistic Distribution

Exponential Distribution

Normal Distribution:

Learn about the fundamentals of discrete distribution

⚡ The probability distribution is base for the statistics without the knowledge of probability you will be in trouble to learn statistics 👻. In this article we will discuss about the various types in Discrete Distribution.

The types of Discrete Distributions are

Discrete Uniform Distribution :

Usually all outcomes have equal probability or same probability, which are followed by ranges is referred as discrete uniform distribution.

What is Bernoulli Distribution ?

✌️ The bernoulli distribution is denoted by “Bern” followed by probability of referred outcomes ‘Bern(P)’. This distribution is the special privilege of binomial distribution.

Learn about statistics for free in just 3 minutes

Probability :

Photo by Clifford Photography on Unsplash


Learning Statistics

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store