This document provides an introduction to data analytics and Python fundamentals. It discusses what data is, how data is generated, important Python packages for data science like NumPy, Pandas, and Matplotlib. It also covers importing and exporting data in Python using Pandas and importing NumPy. The objective is to understand data, Python packages for data science, and getting started with analyzing data in Python.

1. Dr.D.Y.PATIL INSTITUTE OF TECHNOLOGY,PIMPRI,PUNE-411018
E&TC DEPARTMENT
S.E.(E&Tc) LAB:DATA ANALYTICS
EXPERIMENT NO: 1
TITLE: Introduction to data analytics and Python fundamentals.
Objectives: 1) Understanding the Data.
2) Python Packages for Data Science.
3) Importing and Exporting Data in Python.
4) Getting Started Analyzing Data in Python.
THEORY:
What is Data? How Data is generated?
Data are units of information, usually numeric, that are collected through observation. In a
more technical sense, data are a set of values of qualitative or quantitative variables about one or
more persons or objects.
Data can be generated different way humans, machines, and human - machines combines.
The humans, machines and human - machines combines in the sense, now seen everybody is
having the various Facebook account, we have LinkedIn account, we are in various social network
sites. Now the availability of the data is not the problem. It can be generated anywhere where the
information is generated and stored and structured or unstructured format.
Python Packages for Data Science:

2. Dr.D.Y.PATIL INSTITUTE OF TECHNOLOGY,PIMPRI,PUNE-411018
E&TC DEPARTMENT
S.E.(E&Tc) LAB:DATA ANALYTICS
NumPy Package:
i)created in 2005 by Travis Oliphant.
ii)stands for Numerical Python.
iii)Python library used for working with arrays.
iv)Includes functions for domain of linear algebra, Fourier transform, and matrices.
Pandas :
i) was created by Wes McKinney in 2008
ii) name "Pandas" has a reference to both "Panel Data", and "Python Data Analysis“
iii) is a Python library used for working with data sets
iv) includes functions for analyzing, cleaning, exploring, and manipulating data.
MatplotLib :
i) a low level graph plotting library
ii) serves as a visualization utility.
iii) created by John D. Hunter.

3. Dr.D.Y.PATIL INSTITUTE OF TECHNOLOGY,PIMPRI,PUNE-411018
E&TC DEPARTMENT
S.E.(E&Tc) LAB:DATA ANALYTICS
Importing and Exporting Data in Python
1) import pandas as pd.
df = pd.read_csv (r'Path where the CSV file is storedFile
name.csv')
print (df)
1) import numpy as np
2) import matplotlib.pyplot.plt
Data Analytics
data analytics is the scientific process of transforming data into insights for making better
decisions, even without doing analytics also you can make the decision but you cannot make the
better decision without analytics.
Conclusion:-