{"product_id":"the-well-grounded-data-analyst-solve-messy-data-problems-like-a-pro-9781633437531","title":"The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro","description":"\u003cb\u003eComplete 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.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eData analysts need to be problem solvers--and \u003ci\u003eThe Well-Grounded Data Analyst\u003c\/i\u003e will teach you how to solve the most common problems you'll face in industry. You'll explore eight scenarios that your class or bootcamp won't have covered, so you can accomplish what your boss is asking for. \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eThe Well-Grounded Data Analyst\u003c\/i\u003e you'll learn: \u003cp\u003e\u003c\/p\u003e- High-value skills to tackle specific analytical problems\u003cbr\u003e - Deconstructing problems for faster, practical solutions\u003cbr\u003e - Data modeling, PDF data extraction, and categorical data manipulation\u003cbr\u003e - Handling vague metrics, deciphering inherited projects, and defining customer records \u003cp\u003e\u003c\/p\u003e The \u003ci\u003eWell-Grounded Data Analyst\u003c\/i\u003e is for junior and early-career data analysts looking to supplement their foundational data skills with real-world problem solving. 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 \u003cb\u003eDavid Asboth\u003c\/b\u003e. 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. The book can be read cover-to-cover or opened to the chapter most relevant to your current challenges. \u003cp\u003e\u003c\/p\u003e Foreword by \u003cb\u003eReuven M. Lerner\u003c\/b\u003e. \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Real world data analysis is messy. Success requires tackling challenges like unreliable data sources, ambiguous requests, and incompatible formats--often with limited guidance. This book goes beyond the clean, structured examples you see in classrooms and bootcamps, offering a step-by-step framework you can use to confidently solve any data analysis problem like a pro. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eThe Well-Grounded Data Analyst\u003c\/i\u003e introduces you to eight scenarios that every data analyst is bound to face. You'll practice author \u003cb\u003eDavid Asboth's\u003c\/b\u003e results-oriented approach as you model data by identifying customer records, navigate poorly-defined metrics, extract data from PDFs, and much more! It also teaches you how to take over incomplete projects and create rapid prototypes with real data. Along the way, you'll build an impressive portfolio of projects you can showcase at your next interview. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e- Deconstructing problems\u003cbr\u003e - Handling vague metrics\u003cbr\u003e - Data modeling\u003cbr\u003e - Categorical data manipulation \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For early-career data scientists. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eDavid Asboth\u003c\/b\u003e is a data generalist educator, and software architect. He co-hosts the Half Stack Data Science podcast. \u003cp\u003e\u003c\/p\u003e Table of Contents \u003cp\u003e\u003c\/p\u003e 1 Bridging the gap between data science training and the real world\u003cbr\u003e 2 Encoding geographies\u003cbr\u003e 3 Data modeling\u003cbr\u003e 4 Metrics\u003cbr\u003e 5 Unusual data sources\u003cbr\u003e 6 Categorical data\u003cbr\u003e 7 Categorical data: Advanced methods\u003cbr\u003e 8 Time series data: Data preparation\u003cbr\u003e 9 Time series data: Analysis\u003cbr\u003e 10 Rapid prototyping: Data analysis\u003cbr\u003e 11 Rapid prototyping: Creating the proof of concept\u003cbr\u003e 12 Iterating on someone else's work: Data preparation\u003cbr\u003e 13 Iterating on someone else's work: Customer segmentation\u003cbr\u003e A Python installation instructions\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eDavid Asboth\u003c\/b\u003e 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.\u003cbr\u003e","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":51180344279314,"sku":"9781633437531","price":45.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_df13d930-507d-48df-b428-f76cfd271dac.jpg?v=1744382644","url":"https:\/\/surprise-castle.myshopify.com\/products\/the-well-grounded-data-analyst-solve-messy-data-problems-like-a-pro-9781633437531","provider":"Surprise Castle","version":"1.0","type":"link"}