Practical Data Analysis Using Jupyter Notebook; Learn How to Speak the Language of Data by Extracting Useful and Actionable Insights Using Python
Language: English
Published by Packt Publishing, United Kingdom, 2020
- First Edition
- Softcover
- Used
Seller: True Oak Books, Highland, NY, U.S.A.True Oak Books
AbeBooks seller since November 5, 2021
Association member: IOBA
View this seller's itemsCondition: Used - Very good
£ 23.06
Quantity: 1 available
Add to basketItem description from seller
7.5 X 0.73 X 9.25 inches; 308 pages; Very Good condition. No noteworthy defects. No markings.; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
Seller Inventory # HVD-82733-OS-0
- Title
- Practical Data Analysis Using Jupyter Notebook; Learn How to Speak the Language of Data by Extracting Useful and Actionable Insights Using Python
- Author
- Wintjen, Marc
- Publisher
- Packt Publishing, United Kingdom
- Publication year
- 2020
- Condition
- Very Good+
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1838826033
- ISBN 13
- 9781838826031
- Edition
- First Edition; No Printing Stated.
Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook
Key Features
- Find out how to use Python code to extract insights from data using real-world examples
- Work with structured data and free text sources to answer questions and add value using data
- Perform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing data
Book Description
Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data.
After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps.
Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries.
By the end of this book, you'll have gained the practical skills you need to analyze data with confidence.
What you will learn
- Understand the importance of data literacy and how to communicate effectively using data
- Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis
- Wrangle data and create DataFrames using pandas
- Produce charts and data visualizations using time-series datasets
- Discover relationships and how to join data together using SQL
- Use NLP techniques to work with unstructured data to create sentiment analysis models
- Discover patterns in real-world datasets that provide accurate insights
Who this book is for
This book is for aspiring data analysts and data scientists looking for hands-on tutorials and real-world examples to understand data analysis concepts using SQL, Python, and Jupyter Notebook. Anyone looking to evolve their skills to become data-driven personally and professionally will also find this book useful. No prior knowledge of data analysis or programming is required to get started with this book.
Table of Contents
- Fundamentals of data analysis
- Overview of Python and Installation of Jupyter notebook
- Getting Started with NumPy
- Creating your first Pandas DataFrame
- Gathering and Loading Data in Python
- Visualizing and working with time series data
- Exploring Cleaning, Refining and Blending Datasets
- Understanding Joins, Relationships and Data Aggregates
- Plotting, Visualization and Storytelling
- Exploring Text Data and Unstructured Data
- Practical Sentiment Analysis
- Discovering Patterns in Data and providing insights
"Synopsis" may belong to another edition of this title.
About the Author
Marc Wintjen is a Risk Analytics Architect at Bloomberg LP with over 20 years of professional experience. An evangelist for data literacy, he's known as the Data Mensch by helping others make data driven decisions. His passion for all things data has evolved from SQL and Data Warehousing to Big Data Analytics and Data Visualizations.
"About the title" may belong to another edition of this title.
True Oak Books
Highland, NY, U.S.A.
Shipping rates within U.S.A.
| Item | 3 to 9 business days | 2 to 4 business days |
|---|---|---|
| First item | £ 0.00 | £ 4.48 |
Payment methods
Store description
True Oak Books is dedicated to giving a second life to books. We take pride in what we do and do our best to provide good service. Our small but passionate team hand picks rare finds in a variety of fiction as well as non-fiction.
Specialty
VariousAssociation member
Seller's business information
True Oak Books LLC
446 New Paltz Rd, APT 6
Highland, NY U.S.A. 12528
Terms of sale
True Oak Books LLC
Address: 574 New Paltz Rd, Highland NY, 12528
Email: ari@trueoakbooks.com
Authorized representative of the company: Ari Bayvertyan
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to True Oak Books, Highland, New York, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Orders usually ship within 2 business days [M-F]. Items shipped via USPS Media Mail should arrive within 4-14 business days [M-F]. Please note, as per USPS, depending on service location and/or high peak periods within the post office, deliveries can take up to 21 business days [M-F] to arrive. Should your order not arrive within 21 business days [M-F], please contact us promptly for resolution.