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 Science Fundamentals Pocket Primer
Data Science Fundamentals Pocket Primer

Data Science Fundamentals Pocket Primer: An Essential Guide to Data Science Concepts and Techniques

Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
€8.99 €44.99
eBook Jul 2024 450 pages 1st Edition
eBook
€8.99 €44.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
€8.99 €44.99
eBook Jul 2024 450 pages 1st Edition
eBook
€8.99 €44.99
eBook
€8.99 €44.99

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

  • Comprehensive coverage of data science fundamentals
  • Practical examples and exercises for hands-on learning
  • Diverse tools and techniques, including Python, NumPy, Pandas, R, and data visualization

Description

This book, part of the Pocket Primer series, introduces the basic concepts of data science using Python 3 and other applications. It offers a fast-paced introduction to data analytics, statistics, data visualization, linear algebra, and regular expressions. The book features numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. Understanding data science is crucial in today's data-driven world. This book provides a comprehensive introduction, covering key areas such as Python 3, data visualization, and statistical concepts. The practical code samples and hands-on approach make it ideal for beginners and those looking to enhance their skills. The journey begins with working with data, followed by an introduction to probability, statistics, and linear algebra. It then delves into Python, NumPy, Pandas, R, regular expressions, and SQL/NoSQL, concluding with data visualization techniques. This structured approach ensures a solid foundation in data science.

Who is this book for?

This book is ideal for beginners and intermediate learners in data science, including students, professionals, and enthusiasts. Basic programming knowledge is beneficial but not mandatory. The book assumes no prior expertise in data science, making it accessible to a broad audience.

What you will learn

  • Understand and preprocess various types of data
  • Apply probability and statistical methods
  • Utilize linear algebra in data science applications
  • Implement Python for data manipulation and analysis
  • Use NumPy and Pandas for efficient data handling
  • Visualize data effectively using various tools

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 30, 2024
Length: 450 pages
Edition : 1st
Language : English
ISBN-13 : 9781836645825
Category :
Concepts :

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 : Jul 30, 2024
Length: 450 pages
Edition : 1st
Language : English
ISBN-13 : 9781836645825
Category :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 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
€189.99 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
€264.99 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 83.98
Practical Data Analysis
€41.99
Python Data Analysis
€41.99
Total 83.98 Stars icon
Banner background image

Table of Contents

11 Chapters
CHAPTER 1 WORKING WITH DATA Chevron down icon Chevron up icon
CHAPTER 2 INTRO TO PROBABILITY AND STATISTICS Chevron down icon Chevron up icon
CHAPTER 3 LINEAR ALGEBRA CONCEPTS Chevron down icon Chevron up icon
CHAPTER 4 INTRODUCTION TO PYTHON Chevron down icon Chevron up icon
CHAPTER 4 INTRODUCTION TO PYTHON
NOTE
TOOLS FOR PYTHON
NOTE
PYTHON INSTALLATION
NOTE
SETTING THE PATH ENVIRONMENT VARIABLE (WINDOWS ONLY)
LAUNCHING PYTHON ON YOUR MACHINE
PYTHON IDENTIFIERS
NOTE
LINES, INDENTATIONS, AND MULTI-LINES
QUOTATION AND COMMENTS IN PYTHON
SAVING YOUR CODE IN A MODULE
SOME STANDARD MODULES IN PYTHON
THE HELP() AND DIR() FUNCTIONS
COMPILE TIME AND RUNTIME CODE CHECKING
SIMPLE DATA TYPES IN PYTHON
WORKING WITH NUMBERS
NOTE
UNICODE AND UTF-8
WORKING WITH UNICODE
WORKING WITH STRINGS
UNINITIALIZED VARIABLES AND THE VALUE NONE IN PYTHON
SLICING AND SPLICING STRINGS
SEARCH AND REPLACE A STRING IN OTHER STRINGS
REMOVE LEADING AND TRAILING CHARACTERS
PRINTING TEXT WITHOUT NEWLINE CHARACTERS
TEXT ALIGNMENT
WORKING WITH DATES
EXCEPTION HANDLING IN PYTHON
HANDLING USER INPUT
NOTE
COMMAND-LINE ARGUMENTS
PRECEDENCE OF OPERATORS IN PYTHON
PYTHON RESERVED WORDS
WORKING WITH LOOPS IN PYTHON
NESTED LOOPS
THE SPLIT() FUNCTION WITH FOR LOOPS
USING THE SPLIT() FUNCTION TO COMPARE WORDS
USING THE SPLIT() FUNCTION TO PRINT JUSTIFIED TEXT
USING THE SPLIT() FUNCTION TO PRINT FIXED WIDTH TEXT
USING THE SPLIT() FUNCTION TO COMPARE TEXT STRINGS
USING THE SPLIT() FUNCTION TO DISPLAY CHARACTERS IN A STRING
THE JOIN() FUNCTION
PYTHON WHILE LOOPS
CONDITIONAL LOGIC IN PYTHON
THE BREAK/CONTINUE/PASS STATEMENTS
COMPARISON AND BOOLEAN OPERATORS
LOCAL AND GLOBAL VARIABLES
SCOPE OF VARIABLES
PASS BY REFERENCE VERSUS VALUE
ARGUMENTS AND PARAMETERS
USING A WHILE LOOP TO FIND THE DIVISORS OF A NUMBER
USER-DEFINED FUNCTIONS IN PYTHON
SPECIFYING DEFAULT VALUES IN A FUNCTION
FUNCTIONS WITH A VARIABLE NUMBER OF ARGUMENTS
LAMBDA EXPRESSIONS
RECURSION
WORKING WITH LISTS
SORTING LISTS OF NUMBERS AND STRINGS
EXPRESSIONS IN LISTS
CONCATENATING A LIST OF WORDS
THE PYTHON RANGE() FUNCTION
ARRAYS AND THE APPEND() FUNCTION
WORKING WITH LISTS AND THE SPLIT() FUNCTION
COUNTING WORDS IN A LIST
ITERATING THROUGH PAIRS OF LISTS
OTHER LIST-RELATED FUNCTIONS
WORKING WITH VECTORS
WORKING WITH MATRICES
QUEUES
TUPLES (IMMUTABLE LISTS)
NOTE
SETS
NOTE
DICTIONARIES
NOTE
DICTIONARY FUNCTIONS AND METHODS
DICTIONARY FORMATTING
ORDERED DICTIONARIES
OTHER SEQUENCE TYPES IN PYTHON
MUTABLE AND IMMUTABLE TYPES IN PYTHON
THE TYPE() FUNCTION
SUMMARY
CHAPTER 5 INTRODUCTION TO NUMPY Chevron down icon Chevron up icon
CHAPTER 6 INTRODUCTION TO PANDAS Chevron down icon Chevron up icon
CHAPTER 7 INTRODUCTION TO R Chevron down icon Chevron up icon
CHAPTER 7 INTRODUCTION TO R
WHAT IS R?
VARIABLE NAMES, OPERATORS, AND DATA TYPES IN R
WORKING WITH STRINGS IN R
WORKING WITH VECTORS IN R
WORKING WITH LISTS IN R
WORKING WITH MATRICES IN R (1)
WORKING WITH MATRICES IN R (2)
WORKING WITH MATRICES IN R (3)
WORKING WITH MATRICES IN R (4)
WORKING WITH MATRICES IN R (5)
UPDATING MATRIX ELEMENTS
LOGICAL CONSTRAINTS AND MATRICES
WORKING WITH MATRICES IN R (6)
COMBINING VECTORS, MATRICES, AND LISTS IN R
WORKING WITH DATES IN R
THE SEQ FUNCTION IN R
BASIC CONDITIONAL LOGIC
COMPOUND CONDITIONAL LOGIC
WORKING WITH USER INPUT
A TRY/CATCH BLOCK IN R
LINEAR REGRESSION IN R
WORKING WITH SIMPLE LOOPS IN R
WORKING WITH NESTED LOOPS IN R
WORKING WITH WHILE LOOPS IN R
WORKING WITH CONDITIONAL LOGIC IN R
ADD A SEQUENCE OF NUMBERS IN R
CHECK IF A NUMBER IS PRIME IN R
CHECK IF NUMBERS IN AN ARRAY ARE PRIME IN R
CHECK FOR LEAP YEARS IN R
WELL-FORMED TRIANGLE VALUES IN R
WHAT ARE FACTORS IN R?
WHAT ARE DATA FRAMES IN R?
WORKING WITH DATA FRAMES IN R (1)
WORKING WITH DATA FRAMES IN R (2)
WORKING WITH DATA FRAMES IN R (3)
SORT A DATA FRAME BY COLUMN
READING EXCEL FILES IN R
READING SQLITE TABLES IN R
READING TEXT FILES IN R
SAVING AND RESTORING OBJECTS IN R
DATA VISUALIZATION IN R
WORKING WITH BAR CHARTS IN R (1)
WORKING WITH BAR CHARTS IN R (2)
WORKING WITH LINE GRAPHS IN R
WORKING WITH FUNCTIONS IN R
MATH-RELATED FUNCTIONS IN R
SOME OPERATORS AND SET FUNCTIONS IN R
THE “APPLY FAMILY” OF BUILT-IN FUNCTIONS
THE DPLYR PACKAGE IN R
THE PIPE OPERATOR %>%
WORKING WITH CSV FILES IN R
WORKING WITH XML IN R
READING AN XML DOCUMENT INTO AN R DATA FRAME
WORKING WITH JSON IN R
READING A JSON FILE INTO AN R DATA FRAME
STATISTICAL FUNCTIONS IN R
SUMMARY FUNCTIONS IN R
DEFINING A CUSTOM FUNCTION IN R
RECURSION IN R
CALCULATING FACTORIAL VALUES IN R (NON-RECURSIVE)
CALCULATING FACTORIAL VALUES IN R (RECURSIVE)
CALCULATING FIBONACCI NUMBERS IN R (NON-RECURSIVE)
CALCULATING FIBONACCI NUMBERS IN R (RECURSIVE)
CONVERT A DECIMAL INTEGER TO A BINARY INTEGER IN R
CALCULATING THE GCD OF TWO INTEGERS IN R
CALCULATING THE LCM OF TWO INTEGERS IN R
SUMMARY
CHAPTER 8 REGULAR EXPRESSIONS Chevron down icon Chevron up icon
CHAPTER 9 SQL AND NOSQL Chevron down icon Chevron up icon
CHAPTER 10 DATA VISUALIZATION Chevron down icon Chevron up icon
INDEX 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.