A Friendly Guide to Data Science
Language: English
Published by Apress Jul 2025, 2025
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 41.96
Quantity: 2 available
Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -Unlock the world of data science no coding required.Curious about data science but not sure where to start This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics what data analysis involves, which skills are useful, and how terms like data analytics and machine learning connect without getting too technical too fast.Data science isn t just about crunching numbers, pulling data from a database, or running fancy algorithms. It s about asking the right questions, understanding the process from start to finish, and knowing what s possible (and what s not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security because working with data means thinking about people, too.Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today s most exciting fields. No coding or programming experience No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts just as AI and data become increasingly central to everyday life.What You Will LearnGrasp foundational statistics and how it matters in data analysis and data scienceUnderstand the data science project life cycle and how to manage a data science projectExamine the ethics of working with data and its use in data analysis and data scienceUnderstand the foundations of data security and privacyCollect, store, prepare, visualize, and present dataIdentify the many types of machine learning and know how to gauge performancePrepare for and find a career in data scienceWhoThis Book is forA wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps. 883 pp. Englisch.…
Seller Inventory # 9798868811685
- Title
- A Friendly Guide to Data Science
- Author
- Kelly P Vincent
- Publisher
- Apress Jul 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798868811685
- Item weight
- 1,364 grams
- Dimensions
- 235x155x49 mm
Unlock the world of data science—no coding required.
Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics—what data analysis involves, which skills are useful, and how terms like “data analytics” and “machine learning” connect—without getting too technical too fast.
Data science isn’t just about crunching numbers, pulling data from a database, or running fancy algorithms. It’s about asking the right questions, understanding the process from start to finish, and knowing what’s possible (and what’s not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security—because working with data means thinking about people, too.
Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today’s most exciting fields. No coding or programming experience? No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts— just as AI and data become increasingly central to everyday life.
What You Will Learn
- Grasp foundational statistics and how it matters in data analysis and data science
- Understand the data science project life cycle and how to manage a data science project
- Examine the ethics of working with data and its use in data analysis and data science
- Understand the foundations of data security and privacy
- Collect, store, prepare, visualize, and present data
- Identify the many types of machine learning and know how to gauge performance
- Prepare for and find a career in data science
Who This Book is for
A wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field—helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.
"Synopsis" may belong to another edition of this title.
About the Author
Kelly P. Vincent is a data nerd. As soon as they saw their first spreadsheet, they knew they had to fill it with data and figure out how to analyze it. After doing software engineering work in data science and natural language processing spaces, Kelly landed their dream job—data scientist—at a Fortune 500 company in 2017, before moving on in 2022 to another Fortune 500 company. They have specialized in the at-first-barely-used programming language Python for nearly 20 years. Kelly has a BA degree in Mathematical Sciences, an MSc degree in Speech and Language Processing, and an MS degree in Information Systems. Kelly is also in the Doctor of Technology program at Purdue University. They keep their skills up to date with continuing education. They have worked in many different industries that have given them a range of domain knowledge, including education, bioinformatics, microfinancing, B2B tech, and retail.
Kelly hasn’t let their love of data and programming get in the way of their other love—writing. They’re a novelist in multiple genres and have won several awards for their novels. Kelly considered how they could combine writing and data science, and finally spotted an untapped market with the growth of undergraduate data science and analytics degrees.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
Shipping rates from Germany to U.S.A.
| Item | 5 to 15 business days | 5 to 15 business days |
|---|---|---|
| First item | £ 19.47 | £ 19.47 |
Payment methods
- Bank Wire Transfer
- Check
- Paypal
Seller's business information
BuchWeltWeit Ludwig Meier e.K.
Germany
Terms of sale
BuchWeltWeit Inh. Ludwig Meier e.K.
Inhaber: Ludwig Meier
De-Gasperi-Str. 8
51469 Bergisch Gladbach
Deutschland
Tel.: +49(0)22028659300
Fax: +49(0)22028659301
E-Mail: info@buchweltweit.de
Registergericht: Amtsgericht Köln
Registernummer: HRA 28253
Umsatzsteuer-Identifikationsnummer: DE815259907
Wir sind zur Teilnahme an einem Streitbeilegungsverfahren vor einer Verbraucherschlichtungsstelle weder verpflichtet noch bereit.
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 BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany, 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
Der Versand ins Ausland findet IMMER mit DHL statt. Auch nach Österreich verschicken wir nur mit DHL! Daher Standardversand == Luftpost!