Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Data Analysis Foundations with Python
Data Analysis Foundations with Python

Data Analysis Foundations with Python: Master Data Analysis with Python: From Basics to Advanced Techniques

Arrow left icon
Profile Icon Cuantum Technologies LLC
Arrow right icon
$9.99 $34.99
eBook Jun 2024 551 pages 1st Edition
eBook
$9.99 $34.99
Arrow left icon
Profile Icon Cuantum Technologies LLC
Arrow right icon
$9.99 $34.99
eBook Jun 2024 551 pages 1st Edition
eBook
$9.99 $34.99
eBook
$9.99 $34.99

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Key benefits

  • From Python basics to advanced data analysis techniques.
  • Apply your skills to practical scenarios through real-world case studies.
  • Detailed projects and quizzes to help gain the necessary skills.

Description

Embark on a comprehensive journey through data analysis with Python. Begin with an introduction to data analysis and Python, setting a strong foundation before delving into Python programming basics. Learn to set up your data analysis environment, ensuring you have the necessary tools and libraries at your fingertips. As you progress, gain proficiency in NumPy for numerical operations and Pandas for data manipulation, mastering the skills to handle and transform data efficiently. Proceed to data visualization with Matplotlib and Seaborn, where you'll create insightful visualizations to uncover patterns and trends. Understand the core principles of exploratory data analysis (EDA) and data preprocessing, preparing your data for robust analysis. Explore probability theory and hypothesis testing to make data-driven conclusions and get introduced to the fundamentals of machine learning. Delve into supervised and unsupervised learning techniques, laying the groundwork for predictive modeling. To solidify your knowledge, engage with two practical case studies: sales data analysis and social media sentiment analysis. These real-world applications will demonstrate best practices and provide valuable tips for your data analysis projects.

Who is this book for?

This course adopts a hands-on approach, seamlessly blending theoretical lessons with practical exercises and real-world case studies. Practical exercises are designed to apply theoretical knowledge, providing learners with the opportunity to experiment and learn through doing. Real-world applications and examples are integrated throughout the course to contextualize concepts, making the learning process engaging, relevant, and effective. By the end of the course, students will have a thorough understanding of the subject matter and the ability to apply their knowledge in practical scenarios.

What you will learn

  • Develop a strong foundation in Python for data analysis.
  • Manipulate and analyze data using NumPy and Pandas.
  • Create insightful data visualizations with Matplotlib and Seaborn.
  • Understand and apply probability theory and hypothesis testing.
  • Implement supervised and unsupervised machine learning algorithms.
  • Execute real-world data analysis projects with confidence.

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 12, 2024
Length: 551 pages
Edition : 1st
Language : English
ISBN-13 : 9781836209065
Category :
Languages :
Tools :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Product Details

Publication date : Jun 12, 2024
Length: 551 pages
Edition : 1st
Language : English
ISBN-13 : 9781836209065
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 142.97
Building LLM Powered  Applications
$49.99
Data Analysis Foundations with Python
$42.99
Python Data Cleaning Cookbook
$49.99
Total $ 142.97 Stars icon
Banner background image

Table of Contents

37 Chapters
Code Blocks Resource Chevron down icon Chevron up icon
Premium Customer Support Chevron down icon Chevron up icon
Who we are Chevron down icon Chevron up icon
Introduction Chevron down icon Chevron up icon
Who is This Book For? Chevron down icon Chevron up icon
How to Use This Book Chevron down icon Chevron up icon
Acknowledgments Chevron down icon Chevron up icon
Chapter 1: Introduction to Data Analysis and Python Chevron down icon Chevron up icon
Quiz for Part I: Introduction to Data Analysis and Python Chevron down icon Chevron up icon
Chapter 2: Getting Started with Python Chevron down icon Chevron up icon
Chapter 3: Basic Python Programming Chevron down icon Chevron up icon
Chapter 4: Setting Up Your Data Analysis Environment Chevron down icon Chevron up icon
Quiz for Part II: Python Basics for Data Analysis Chevron down icon Chevron up icon
Chapter 5: NumPy Fundamentals Chevron down icon Chevron up icon
Chapter 6: Data Manipulation with Pandas Chevron down icon Chevron up icon
Chapter 7: Data Visualization with Matplotlib and Seaborn Chevron down icon Chevron up icon
Quiz for Part III: Core Libraries for Data Analysis Chevron down icon Chevron up icon
Chapter 8: Understanding EDA Chevron down icon Chevron up icon
Chapter 9: Data Preprocessing Chevron down icon Chevron up icon
Chapter 10: Visual Exploratory Data Analysis Chevron down icon Chevron up icon
Quiz for Part IV: Exploratory Data Analysis (EDA) Chevron down icon Chevron up icon
Project 1: Analyzing Customer Reviews Chevron down icon Chevron up icon
Chapter 11: Probability Theory Chevron down icon Chevron up icon
Chapter 12: Hypothesis Testing Chevron down icon Chevron up icon
Quiz for Part V: Statistical Foundations Chevron down icon Chevron up icon
Chapter 13: Introduction to Machine Learning Chevron down icon Chevron up icon
Chapter 14: Supervised Learning Chevron down icon Chevron up icon
Chapter 15: Unsupervised Learning Chevron down icon Chevron up icon
Quiz Part VI: Machine Learning Basics Chevron down icon Chevron up icon
Project 2: Predicting House Prices Chevron down icon Chevron up icon
Chapter 16: Case Study 1: Sales Data Analysis Chevron down icon Chevron up icon
Chapter 17: Case Study 2: Social Media Sentiment Analysis Chevron down icon Chevron up icon
Quiz Part VII: Case Studies Chevron down icon Chevron up icon
Project 3: Capstone Project: Building a Recommender System Chevron down icon Chevron up icon
Chapter 18: Best Practices and Tips Chevron down icon Chevron up icon
Conclusion Chevron down icon Chevron up icon
Know more about us Chevron down icon Chevron up icon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

How do I buy and download an eBook? Chevron down icon Chevron up icon

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

  • You may make copies of your eBook for your own use onto any machine
  • You may not pass copies of the eBook on to anyone else
How can I make a purchase on your website? Chevron down icon Chevron up icon

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

  1. Register on our website using your email address and the password.
  2. Search for the title by name or ISBN using the search option.
  3. Select the title you want to purchase.
  4. Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title. 
  5. Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook? Chevron down icon Chevron up icon
  • If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
  • To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
  • To view your account details or to download a new copy of the book go to www.packtpub.com/account
  • To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us
What eBook formats do Packt support? Chevron down icon Chevron up icon

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks? Chevron down icon Chevron up icon
  • You can get the information you need immediately
  • You can easily take them with you on a laptop
  • You can download them an unlimited number of times
  • You can print them out
  • They are copy-paste enabled
  • They are searchable
  • There is no password protection
  • They are lower price than print
  • They save resources and space
What is an eBook? Chevron down icon Chevron up icon

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.