Introduction

Overview

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Objectives

What is Data?

Data is the raw alphanumeric values obtained through different acquisition methods. Data in their simplest form consist of raw alphanumeric values.

What is Information?

Information is created when data are processed, organized, or structured to provide context and meaning. Information is essentially processed data.

What is Knowledge?

Knowledge is what we know. Knowledge is unique to each individual and is the accumulation of past experience and insight that shapes the lens by which we interpret, and assign meaning to, information.

Why is Data important?

In todays world, data is everywhere. While one might not think twice about the data that flows around us, it is often helpful to collect and analyze data. A few impacts that good data has are- -Improve People’s Lives -Make Informed Decisions -Stop Molehills From Turning Into Mountains -Get The Results You Want -Find Solutions To Problems -Stop The Guessing Game -Be Strategic In Your Approaches

How to get data to work for me?

There are several programming languages that have made it easy to work with data.However, python is the most popular choice of data scientists and data analysts. Working with data often includes concepts of statistics like mean, medium etc. It also deals with plotting and undestanding patters and distributions in data. Python has inbuilt libraries to handle statistics. It also has several libraries that help with cleaning and preprocessing data.

What is Numpy?

NumPy is a Python library used for working with arrays.It also has functions for working in domain of linear algebra, fourier transform, and matrices.

What is Pandas?

Pandas is a Python library used for working with data sets.It has functions for analyzing, cleaning, exploring, and manipulating data.

Key Points