Learn Python In A Week And Master It.pdf

(2708 KB) Pobierz
PYTHON DATA SCIENCE
Learn Python in a Week and Master it
7 Days Crash Course
An hands-on introduction to big data analysis and data
mining, a project-based guide with practical exercises
Computer Programming Academy
Copyright © 2020 – Computer Programming Academy
All rights reserved
The content contained within this book may not be reproduced, duplicated or transmitted without direct
written permission from the author or the publisher.
Under no circumstances will any blame or legal responsibility be held against the publisher, or author,
for any damages, reparation, or monetary loss due to the information contained within this book, either
directly or indirectly.
Legal Notice:
This book is copyright protected. This book is only for personal use. You cannot amend, distribute, sell,
use, quote or paraphrase any part, or the content within this book, without the consent of the author or
publisher.
Disclaimer Notice:
Please note the information contained within this document is for educational and entertainment
purposes only. All effort has been executed to present accurate, up to date, and reliable, complete
information. No warranties of any kind are declared or implied. Readers acknowledge that the author is
not engaging in the rendering of legal, financial, medical or professional advice. The content within this
book has been derived from various sources. Please consult a licensed professional before attempting
any techniques outlined in this book. By reading this document, the reader agrees that under no
circumstances is the author responsible for any losses, direct or indirect, which are incurred as a result
of the use of information contained within this document, including, but not limited to errors,
omissions, or inaccuracies.
Table of Contents
Introduction
Day 1: Introduction to Data Science
Importance of Data Science
Types of Data
Data science strategies
Programming language
Review Quiz
Day 2: Data Science Lifecycle
Infrastructure and resources for data science projects
Stage I – Business understanding
Stage II – Data acquisition and understanding
Stage III – Modeling
Stage IV – Deployment
Stage V – Customer Acceptance
Review Quiz
Day 3: Big Data 101
Importance of big data
The functioning of big data
Big Data Analytics
Applications of Big Data Analytics
Big Data Analysis Vs. Data Visualization
Review Quiz
Day 4: Basics of Data Mining
Applications of data mining
The data mining process
Pros of data mining
Challenges of data mining
Data Mining Trends
Data mining tools
Day 5: Data Analysis Frameworks
Ensemble Learning
Decision Trees
Random Forest
Day 6: Data Analysis Libraries
Scikit-Learn
SciPy (Fundamental library for scientific computing)
SymPy (Symbolic mathematics)
NumPy (Base n-dimensional array package)
Matplotlib (Comprehensive 2D/3D plotting)
Pandas (Data structures and analysis)
IPython (Enhanced interactive console)
Jupyter Notebook
Day 7: Predictive Analytics
Importance of Customer Analytics
Marketing and Sales Funnel Analytics
Predictive Analytics Marketing
Personalized marketing
Extra content
Python programming
Python Machine Learning
Conclusion

Plik z chomika:

Inne pliki z tego folderu:

Inne foldery tego chomika:

Zgłoś jeśli naruszono regulamin