Sign-In
Cart
The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro
Paperback
Currently unavailable to order
Please enter your email and a message will be sent to you when this product becomes available on our website.
ISBN13: 9781633437531
Publisher: Manning Publications
Published: Mar 25 2025
Pages: 472
Weight: 1.75
Height: 0.80 Width: 7.40 Depth: 9.10
Language: English
- Data modeling, PDF data extraction, and categorical data manipulation
- Handling vague metrics, deciphering inherited projects, and defining customer records The Well-Grounded Data Analyst 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 David Asboth. 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. Foreword by Reuven M. Lerner. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology 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. About the book The Well-Grounded Data Analyst introduces you to eight scenarios that every data analyst is bound to face. You'll practice author David Asboth's 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. What's inside - Deconstructing problems
- Handling vague metrics
- Data modeling
- Categorical data manipulation About the reader For early-career data scientists. About the author David Asboth is a data generalist educator, and software architect. He co-hosts the Half Stack Data Science podcast. Table of Contents 1 Bridging the gap between data science training and the real world
2 Encoding geographies
3 Data modeling
4 Metrics
5 Unusual data sources
6 Categorical data
7 Categorical data: Advanced methods
8 Time series data: Data preparation
9 Time series data: Analysis
10 Rapid prototyping: Data analysis
11 Rapid prototyping: Creating the proof of concept
12 Iterating on someone else's work: Data preparation
13 Iterating on someone else's work: Customer segmentation
A Python installation instructions
Also in
Databases
Seven Databases in Seven Weeks: A Guide to Modern Databases and the Nosql Movement
Redmond, Eric
Wilson, Jim
Perkins, Luc
Paperback
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Kleppmann, Martin
Riccomini, Chris
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Housley, Matt
Reis, Joe
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
Observability Engineering: Achieving Production Excellence
Fong-Jones, Liz
Miranda, George
Majors, Charity
Paperback
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
Ross, Margy
Kimball, Ralph
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Paperback
Learning Tableau 2025 - Sixth Edition: Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights
Milligan, Joshua N.
Paperback
The Data Storyteller's Handbook: How to create business impact using data storytelling
Greenbrook, Kat
Paperback
Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Bruce, Andrew
Gedeck, Peter
Bruce, Peter
Paperback
Microsoft Power Bi Data Analyst Associate Study Guide: Prepare for the Pl-300 Exam and Use Power Bi Successfully
Turley, Paul
Paperback
Database Systems: Introduction to Databases and Data Warehouses, Edition 2.0
Vrbsky, Susan
Sharma, Abhishek
Jukic, Nenad
Paperback
SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights
Tanimura, Cathy
Paperback
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems
Konieczny, Bartosz
Paperback
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
Bonifield, James
Paperback
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
Karau, Holden
Polak, Adi
Warren, Rachel
Paperback
SQL Server 2025 Unveiled: The Ai-Ready Enterprise Database with Microsoft Fabric Integration
Ward, Bob
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Paperback
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition
Nestler, Scott
Pelechrinis, Konstantinos
Winston, Wayne L.
Paperback
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Gutman, Alex J.
Goldmeier, Jordan
Paperback
Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
Alhussein, Derar
Paperback
Observability Engineering: Achieving Production Excellence
Fong-Jones, Liz
Miranda, George
Majors, Charity
Paperback
Product Operations: How successful companies build better products at scale
Perri, Melissa
Tilles, Denise
Paperback
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Shapira, Gwen
Palino, Todd
Sivaram, Rajini
Paperback
Turning Data into Wisdom: How We Can Collaborate with Data to Change Ourselves, Our Organizations, and Even the World
Hanegan, Kevin
Paperback
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Graesser, Laura
Keng, Wah Loon
Paperback
High Performance Python: Practical Performant Programming for Humans
Gorelick, Micha
Ozsvald, Ian
Paperback
Data Contracts: Developing Production-Grade Pipelines at Scale
Freeman, Mark
Sanderson, Chad
Schmidt, B. E.
Paperback
Head First Algorithms and Data Structures: A Learner's Guide to the Foundations of Computing
Freeman, Eric
Robson, Elisabeth
Paperback
Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code
Mauro, Andrea de
Paperback
ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale
Haelen, Bennie
Paperback
Data Governance with Unity Catalog on Databricks: Implement Data and AI Governance with Databricks Data Intelligence Platform
Sreekumar, Kiran
Subbarao, Karthik
Paperback
Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
Johansson, Robert
Paperback
SQL Cookbook: Query Solutions and Techniques for All SQL Users
Molinaro, Anthony
Graaf, Robert de
Paperback
Databricks Data Intelligence Platform: Unlocking the Genai Revolution
Yip, Jason
Gupta, Nikhil
Paperback
Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
Molin, Stefanie
Paperback
Data Analytics & Visualization All-In-One for Dummies
Hyman, Jack A.
McFedries, Paul
Massaron, Luca
Paperback
The Data Center as a Computer: Designing Warehouse-Scale Machines
Ranganathan, Parthasarathy
Barroso, Luiz André
Hölzle, Urs
Hardcover
Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale
Ullah, Muhammad Fasih
Paperback
SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
Fritchey, Grant
Paperback
Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future
Govindarajan, Vijay
Venkatraman, Venkat
Hardcover
Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success
Seiner, Robert
Paperback
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Shiran, Tomer
Hughes, Jason
Merced, Alex
Paperback
Kafka for Architects: Event-Driven Architecture, Logs, Microservices, Real-Time Event Processing
Gorshkova, Katya
Paperback
Ai-Ready Data Blueprints: From Raw Data to Ai-Driven Innovation
Sopirala, Srikanth
Shukla, Navnit
Pham, Kien
Paperback
Learning Ransomware Response & Recovery: Stopping Ransomware One Restore at a Time
Preston, W. Curtis
Saylor, Michael
Paperback
Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Eager, Eric A.
Erickson, Richard a.
Paperback
Mastering PostgreSQL 17 - Sixth Edition: Elevate your database skills with advanced deployment, optimization, and security strategies
Schönig, Hans-Jürgen
Paperback
iPhone 11 Pro Max Guide: Learn Step-By-Step How To Use Your iPhone Pro Max Step-By-Step
Meyer, Albrecht
Paperback
Real-Time Intelligence with Microsoft Fabric: Empowering Data-Driven Decisions in the Era of AI
Geisler, Frank
Brattã S. Johan Ludvig
Paperback
PostgreSQL 16 Administration Cookbook: Solve real-world Database Administration challenges with 180+ practical recipes and best practices
Mejías, Boriss
Angelakos, Jimmy
Ciolli, Gianni
Paperback
Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes
Haines, Scott
Lee, Denny
Wentling, Tristen
Paperback
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems
Majumder, Bodhisattwa
Gupta, Anuj
Vajjala, Sowmya
Paperback
Apache Hudi: The Definitive Guide: Building Robust, Open, and High-Performing Data Lakehouses
Xu, Shiyan
Wason, Prashant
Saktheeswaran, Bhavani Sudha
Paperback
Data Pipelines with Apache Airflow, Second Edition: Orchestration for Data and AI
Ruiter, Julian de
Cabral, Ismael
Geusebroek, Kris
Paperback
Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema
Corr, Lawrence
Stagnitto, Jim
Paperback
Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World, 3rd Edition
Kent, William
Paperback
Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
Navarro, Danielle
Foxcroft, David
Paperback
Building Data Integration Solutions: Unifying Data for Enhanced Decision Making
Borthen, Jay
Paperback
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are
Stephens-Davidowitz, Seth
Paperback
Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI
Ehrenmueller-Jensen, Markus
Paperback
How to Interpret Data: Using Data to Improve Your Influence and Decision-Making
Kelly, Nicholas
Paperback
Apache Polaris: The Definitive Guide: Enriching Apache Iceberg Data Lakehouses with an Open Source Catalog
Merced, Alex
Shiran, Tomer
Madson, Andrew
Paperback
Data Governance Change Management: From Drift to Direction-Why Every Data Leader Needs an ANCHOR
Agrawal, Aakriti
Agrawal, Arvind
Paperback
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Tibshirani, Robert
Friedman, Jerome
Hastie, Trevor
Hardcover
Learn PostgreSQL - Second Edition: Use, manage and build secure and scalable databases with PostgreSQL 16
Pirozzi, Enrico
Ferrari, Luca
Paperback
Unlocking Dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
Cyr, Cameron
Dorsey, Dustin
Paperback
Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale
Machado, Rui
Russa, Hélder
Paperback
Big Data in Der Mobilität: Akteure, Geschäftsmodelle Und Nutzenpotenziale Für Die Welt Von Morgen
Müller-Peters, Horst
Gatzert, Nadine
Knorre, Susanne
Paperback
Statistics Every Programmer Needs: Practical Python Implementations and Quantitative Methods
Sutton, Gary
Paperback
The Data Product Playbook: Designing and Delivering Data Products that Power Decisions, Analytics, and AI
Koenders, Willem
Paperback
Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
Hueske, Fabian
Kalavri, Vasiliki
Paperback
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with UNIX Power Tools
Janssens, Jeroen
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Hardcover
Natural Language Processing with Pytorch: Build Intelligent Language Applications Using Deep Learning
Rao, Delip
McMahan, Brian
Paperback
Data Center Critical Facilities Migration from Construction to Operations
K. Tidjani, Yekini
Paperback
SQL for Data Analytics - Fourth Edition: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Goldwasser, Matt
Shan, Jun
Li, Haibin
Paperback
Architecting an Apache Iceberg Lakehouse: A Scalable, Open-Source Data Platform
Merced, Alex
Paperback
The Expert's Guide to SQL Server: Tuning, Security, and Cloud Migration
Andiappan, Petchikumar
Pasam, Venkata Reddy
Paperback
Microsoft Power Bi Visual Calculations: Simplifying Dax
Lelijveld, Marc
Ter Heerdt, Jeroen
Stikkelorum, Madzy
Paperback
R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse
Kabacoff, Robert I.
Paperback
SAP S/4hana Financial Accounting Certification Guide: Application Associate Exam
Pougkas, Stefanos
Paperback
A Friendly Guide to Data Science: Everything You Should Know about the Hottest Field in Tech
Vincent, Kelly P.
Paperback
Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business
Marr, Bernard
Paperback
SQL in a Week: A Fast-Track Guide to Writing and Optimizing Queries Like a Pro
Shah, Bhumika
Dubey, Devtosh
Paperback
Blockchain Basics: A Non-Technical Introduction in 25 Steps + 5 Steps Beyond the Basics
Drescher, Daniel
Paperback
PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries
Dombrovskaya, Henrietta
Bailliekova, Anna
Database Expert
Paperback
Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness
Eryurek, Evren
Gilad, Uri
Lakshmanan, Valliappa
Paperback
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
Teate, Renee M. P.
Paperback
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning
Lakshmanan, Valliappa
Paperback
The Elephant in the Fridge: Guided Steps to Data Vault Success through Building Business-Centered Models
Giles, John
Paperback
The Data Management Workbook: Practical Exercises for Better Organization, Storage and Use of Your Research Data
Briney, Kristin
Paperback
The Definitive Guide to Microsoft Fabric: From discovery to building a unified, secure, and scalable data platform
Riehl, Jean-Pierre
Maneu, Christopher
Beau, Emilie
Paperback