1. Excel Formulas QuickStudy Laminated Study Guide
Authors: John Hales, Krista Jensen
This guide is an invaluable resource for anyone looking to sharpen their Excel skills, especially in formulas which are the backbone of data manipulation and analysis in many business applications. It condenses essential Excel formulas into a quick-reference format, making it perfect for both beginners and advanced users. Whether you’re compiling data or automating calculations, this guide will serve you well in boosting your productivity.
2. Data Science Mixer
Authors: Alteryx
For those diving into the world of data science, “Data Science Mixer” provides a unique blend of practical tools and theoretical insights. It is particularly beneficial for professionals looking to enhance their analytical skills while understanding the complexities of data manipulation. Best of all, it’s free! A perfect hands-on resource for anyone eager to get started on their data science journey.
3. Alter Everything
Authors: Alteryx
This innovative work challenges readers to rethink their data processes. The collaborative insights from industry leaders in this book provide a refreshing approach to understanding how data can transform operations. You’ll find pragmatic advice and case studies that are directly applicable to any data-driven environment. Grab your copy now because it’s completely free!
4. A Practitioner’s Guide to Data Wrangling
Author: Deepak Tyagi
This guide dives into the essential skill of data wrangling, which is critical for making sense of raw data. With a focus on integrating Alteryx into an enterprise environment, it offers practical strategies for data preparation and analysis. It’s a must-read for data professionals aiming to streamline their data processes and improve overall quality before deep analysis.
5. Excel: Pivot Tables & Charts QuickStudy Laminated Reference Guide
Author: John Hales
Pivot tables and charts are powerful tools that allow users to extract insights from vast data sets with ease. This QuickStudy guide serves as a cheat sheet, ensuring you can leverage these features effectively. Ideal for both casual users and professionals alike, enhancing your data visualization skills has never been easier.
6. Mastering Data Modeling
Author: Michael E. Kirshteyn Ph.D.
As the name suggests, this book takes you from basic concepts to practical implementations in data modeling. It’s aimed at those who want to understand the structure behind data management. As businesses increasingly rely on accurate data models for decision-making, this book is essential for those looking to elevate their analytics capabilities to the next level.
7. The Definitive Guide to DAX
Authors: Marco Russo, Alberto Ferrari
Focusing on DAX – Data Analysis Expressions – which is critical for anyone using Power BI or SQL Server, this guide provides in-depth knowledge essential for mastering business intelligence. With practical examples and case studies, it’s a resource packed with valuable insights to improve your analytical skills and understanding of complex data systems.
8. Ace the Data Science Interview
Authors: Nick Singh, Kevin Huo
If you’re preparing for a career in data science, this book is your essential companion. It includes 201 real interview questions from tech giants, providing you with a clear idea of what to expect and how to prepare. Not only does it cover technical skills but also essential behavioral aspects to ace your interview.
9. Python Programming Language QuickStudy Laminated Reference Guide
Author: Berajah Jayne
This guide serves as a compact reference for anyone looking to enhance their programming skills in Python. Perfect for beginners or those needing a refresher, it outlines key programming concepts in a clear, easy-to-digest format that can quicken your journey to becoming a proficient Python programmer. It’s a fantastic addition to your learning resources!
