This document discusses data science with Python. It notes that data science brings together domain expertise from programming, mathematics, and statistics to create insights from data. Data science enables companies to better understand customers and confirm product quality. It can be applied to many industries like travel, healthcare, and education. The document recommends learning to program to communicate with computers intelligently. Python is well-suited for data science as it is simple, easy to learn, flexible, and covers the full data science task cycle. Popular Python libraries for data science include NumPy, SciPy, Pandas, SciKit, and matplotlib. Data science jobs require algorithms, statistics, and machine learning knowledge, with Python, R, and SQL being essential languages. Data scientists

1. Data Science with Python
Ramprakash S
Teaching Faculty/CSE
Anna University Chennai::Thirukkuvalai
Campus
Nagapattinam

2. The importance of data Science brings together the
domain expertise from programming, mathematics,
and statistics to create insights and make sense of
data.
Why Data Science?
Why Data Science?
Why Data Science?

4. Importance of Data Science
Importance of Data Science
Importance of Data Science
Data Science enables companies to connect with their customers in a
modified manner and thus confirms the better quality and power of the
product.
Data Science is that its results can be applied to almost all types of
industries such as travel, healthcare and education.
Big data is continuously emerging and growing. It helps the organization to
resolve complex issues related to IT, human resource with an efficient
manner.

5. Program
Program
Program
Why to Program?
Communication….!!!
You talk to people daily. Now talk to computers.
Its all about interacting with machines/devices
You want machines to behave Intelligently, just like humans, or
even better !!!

6. Python
Python
Python for Data Science
for Data Science
for Data Science
Simple, easy to learn, yet full featured
if you do not have programming experience, then even better!!!
Covers full data science task cycle – acquisition, data pre-processing,
databases, data analytics, machine learning, big data, HPC, and
more…
An interpreted language – the debugging is easier
Less code size than other those of familiar languages

7. Why Python?
Why Python?
Why Python?
Simple,
Easy to learn
Flexible
#include <stdio.h>
int main()
{
printf("Hello World");
return 0;
}
class HelloWorld {
public static void main(String[] args)
{
System.out.println("Hello World")
}
}
In Python:
print("Hello World")

8. Python Hands on

9. Python Libraries for
Python Libraries for
Python Libraries for
Data Science
Data Science
Data Science
NumPy
SciPy
Pandas
SciKit
matplotlib

10. Loading Python
Loading Python
Loading Python
Libraries
Libraries
Libraries
import numpy as np
import scipy as sp
import pandas as pd
import matplotlib as mpl
import seaborn as sns

11. Data Science Job Opportunities
Algorithms, statistics, mathematics, and machine
learning knowledge are all essential.
(e.g)
Python, R, SQL are essential programming languages,
Python salary in India is expected to be about 10.2
lakhs INR.
When a Data Analyst knows both Big Data and Data Science, their pay
rises by 26%, relative to when they only know of one.

12. Data Science Job Opportunities
Python is one of the most common languages for
machine learning, and Python developers in India
earn some of the highest salaries in the world.
Artificial Intelligence skills will help you advance
your career in general. If you are a beginner in this
region, the Artificial Intelligence salary in India is
not less than 5-6 lakhs INR.

13. Any Queries?