This document provides an introduction to data science and the Python programming language. It outlines key topics including what data science is, its main branches, Python data types and structures, built-in methods, control statements and loops, functions and classes. These concepts are explained over the course of a weekly course on data science fundamentals using Python for data analysis, visualization and modeling.

1. INTRODUCTION
TO DATA SCIENCE
J O S E P H I TO PA ( M L E N G I N E E R , O M D E N A & R A 3 6 5 )
F A V O R E D O N L I N E

2. OUTLINE
• What is Data Science? Branches of Data Science.
• Importing library
• Python in-built Methods: print, type, len, min, max.
• Data type and structures: Integer, Float, Strings, List, Dictionary, Tuple; indexing and
slicing.
• Python Functions: Methods and Classes
• Python Statements and Loops: For loop, while loop, if, if-else, break, continue.
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3. WEEK - 1
 The ability to take data—to be able to understand it, to process it, to
extract value from it, to visualize it, to communicate it —that’s going to
be a hugely important skill in the next decades. – Han Varians
 The future belongs to the companies and people that turn data into
products - Mike Loukides (VP Content Strategy @ O’Reilly)

4. WHAT IS DATA SCIENCE?
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https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.contino.io%2Finsights%2Fthe-future-of-artificial-intelligence-and-machine-learning-for-financial-services&psig=AOvVaw0Qa-
PssCxxGLxBPZd-6FYz&ust=1604048462298000&source=images&cd=vfe&ved=0CA0QjhxqFwoTCPCyl7i42ewCFQAAAAAdAAAAABAJ
• Data science is an interdisciplinary field that uses scientific
methods, processes, algorithms and systems to extract
knowledge and insights from structured and unstructured
data, and apply knowledge and actionable insights from data
across a broad range of application domains. ~Wikipedia

5. BRANCHES OF DATA SCIENCE
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https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.researchgate.net%2Ffigure%2FData-Science-and-corresponding-scientific-
fields_fig2_332120693&psig=AOvVaw1QptKKxI_iyjmHhoMU01PO&ust=1620522869672000&source=images&cd=vfe&ved=0CA0QjhxqF
woTCIDztYH0uPACFQAAAAAdAAAAABAD

6. PROGRAMMING & ENVIRONMENT
Programming Languages
• Python,
• R,
• SQL, PostgreSQL
Programming Environment
• Google Colab ( https://colab.research.google.com )
• Anaconda
(https://docs.anaconda.com/anaconda/install/wind
ws/ )
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7. AN INTRODUCTION TO PYTHON
Importing library
• Pandas
• Numpy
Visualization libraries
Seaborn, matplotlib, bokeh
Python in-built Methods: print, type, len, min, max
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• Numeric types: integer, floats, complex
• Complex numbers use “j” or “J” to designate the imaginary part: x = 5 + 2j
• String type: “Hello”
Output statement
print ({expression,})
Input statement
x, y = int(input("enter an integer: ")),
float(input("enter a float: "))
import numpy as np
import seaborn as sns
import pandas as pd

8. AN INTRODUCTION TO PYTHON
Python Control Statements and Loops
• Every control statement must end with a semicolon (:)
• All the statement in the body of the loop must be
if, if-else, if-elif-else; For Loop, While Loop
– The if (offers one option)
– The if-else (offers two options)
– The if-elif-else (offers three or more choices)
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x = 0
For i in range(1,10):
print(i)

9. AN INTRODUCTION TO PYTHON
Python Functions/Methods and Classes
A function is a block of code meant for a specific
purpose and its reusable.
• Class = data + method
• An Object is the instance of a class.
• More on Python Classes:
• https://github.com/JosephItopa/Drop_of_my_Pyt
hon_Projects/blob/master/Intro_to_python_serie
s/Introduction_To_Python_Webinar_Series_4.ipyn
b
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def function_name( parameters ):
"function_docstring"
function_suite
return [expression]
class ClassName:
'Optional class documentation string'
class_suite

10. AN INTRODUCTION TO PYTHON
Recap
• What is Data Science? Branches of Data Science.
• Importing library
• Python in-built Methods
• Data type and structures
• Python Methods and Classes
• Python Control Statements and Loop.
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11. AN INTRODUCTION TO PYTHON
References
• http://www.cs.uah.edu/~weisskop/Notes424-524/ch12-Python.ppt
• https://www.bu.edu/tech/files/2017/09/Python-for-Data-Analysis.pptx
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12. THANK YOU!
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