Solve Any Data Analysis Problem you own this product

Eight projects that show you how
David Asboth
  • MEAP began November 2023
  • Publication in December 2024 (estimated)
  • ISBN 9781633437531
  • 325 pages (estimated)
  • printed in black & white

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Complete eight data science projects that lock in important real world skills–along with a practical process you can use to learn any new technique quickly and efficiently.

Solve Any Data Analysis Problem guides you through eight common scenarios you'll encounter as a data scientist or analyst. As you explore each project, you’ll also master a proven process for quickly learning new skills developed by author and Half Stack Data Science podcast host David Asboth.

In Solve Any Data Analysis Problem you’ll learn:

  • High-value skills to tackle specific analytical problems
  • Deconstructing problems for faster, practical solutions
  • Data modeling, PDF data extraction, and categorical data manipulation
  • Handling vague metrics, deciphering inherited projects, and defining customer records

In Solve Any Data Analysis Problem you’ll learn how to shift the way you think about data from the structured clean problems you get in a classroom, book, or bootcamp to the messy open-ended challenges of the workplace. As you work through eight problems you’ll see over and over on the job, you’ll discover a solutions-driven methodology that’s focused on getting results. You’ll learn how to determine a minimum viable answer for your stakeholders, identify and obtain the data you need to deliver, and reliably present and iterate on your findings.

about the book

Solve Any Data Analysis Problem presents eight industry scenarios that you’re sure to encounter in your data science career. The book can be read cover-to-cover, or opened up to whichever chapter is most relevant to your current challenges. You’ll explore data modeling by identifying customer records from retail transactions, navigate badly defined metrics, and learn how to extract data from PDFs as you analyze how COVID-19 changed the film industry.

Get your hands dirty with categorical data that defies conventional statistical analysis, and unearth hidden patterns in seemingly simple time series data. Plus, you’ll learn what to do when you’re handed someone else’s work to expand on, and how to wow your stakeholders with your presentations. By the time you’re done reading and working, you’ll have the kind of on-the-job skills it normally takes years to learn—and an amazing portfolio of projects to show off at an interview.

about the reader

For early-career data scientists. You know the technical basics—this book will teach you how to apply them successfully on the job.

about the author

David Asboth is a "data generalist”, with experience as a freelance consultant, educator, software architect, and more. He co-hosts the Half Stack Data Science podcast about data science in the real world, has spoken at multiple conferences including the Data Science Festival in London, and has taught a variety of data science courses to enterprise students including large banks and consultancies.

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choose your plan

team

monthly
annual
$49.99
$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Solve Any Data Analysis Problem ebook for free