Getting Started

Summary: Data science is the emerging field of intelligent technologies that matters past, present and make the future predictable.

Data science and its exploration using Anaconda
(distribution of Python and R)

Data science is the emerging field of intelligent technologies that matters past, present and
make the future predictable.

Data Science is basically working with data (labeled or unlabeled), that is used to classify it in
several classes, that shares common features, also predicting the class of test data using neural
networking for instances predicting the weather of a particular city using its previous data record
or classifying the raw data in several class(of same features).

Data science is a multi-disciplinary field that utilizes logical techniques, procedures, calculations
and frameworks to separate learning and bits of knowledge from organized and unstructured

To set up the working with data science (coding part) we have to setup Anaconda distribution of
Python and R

In this post, we will be covering the basics of data science and also introducing the anaconda
that comes handy with Jupiter and other essential tools that are necessary to build up the Neural
Networking model.

Anaconda and its installation

Anaconda is an open source conveyance of the Python and R programming dialects and it is
utilized in information science, AI, profound learning-related applications going for
disentangling bundle the board and deployment. Anaconda Distribution is utilized by more than
7 million clients and it incorporates in excess of 300 information science bundles appropriate for
Windows, Linux, and MacOS

Feature of Anaconda

1. Includes most of the important and essential libraries of Python that are needed basic to
complex all tasks.
2. Comes up with conda package and its own Anaconda Navigator
3. Comes up with several software inbuilt as
• Jupyter Notebook and Lab
• Spyder
• Orange
• RStudio
• Visual code studio

Setting up Anaconda and Jupyter Notebook on Ubuntu

Anaconda is a free distribution and hence it is open source and available to be installed on
Ubuntu, Windows and MacOS.

Installation for Ubuntu

1. Install anaconda installer bash script
2. Verify, install and Activate the package.

Setting up installer bash script

Use curl to download the bash script

curl -O

verify the integrity of the package


This will ensure the integrity and in order to complete installation follow the given commands
Run the downloaded Script


This will start the installation process and seeks permission
Press Enter and Yes as the system wants your permission to complete the installation
This will complete the installation and seeks for adding a path to location so that conda command
could be used Type Yes

source ~/.bashrc

to activate the installation
hence the installation is complete.

Using it inbuilt software directly from Terminal

Jupyter Notebook

Directly from terminal, it will open a localhost on your default web browser that is used to make
Python projects and saving as notebook format easy to handle and manage python programs,
essential for Data Science.

Installation on Windows and MacOS

This could be directly downloaded and installed on Windows and MacOS from the following

The setup wizard will complete the installation and it could be launched from desktop by visiting
Anaconda Navigator app which opens all of its software in a detailed GUI manner.

If you like it you can donate :)



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