 Название: CompTIA DataX Study Guide: Exam DY0-001
Автор: Fred Nwanganga
Издательство: Sybex
Год: 2024
Страниц: 416
Язык: английский
Формат: epub (true)
Размер: 14.5 MB
Demonstrate your Data Science skills by earning the brand-new CompTIA DataX credential.
In CompTIA DataX Study Guide: Exam DY0-001, data scientist and analytics professor, Fred Nwanganga, delivers a practical, hands-on guide to establishing your credentials as a Data Science practitioner and succeeding on the CompTIA DataX certification exam. In this book, you'll explore all the domains covered by the new credential, which include key concepts in mathematics and statistics; techniques for modeling, analysis and evaluating outcomes; foundations of Machine Learning; Data Science operations and processes; and specialized applications of Data Science.
This up-to-date Study Guide walks you through the new, advanced-level data science certification offered by CompTIA and includes hundreds of practice questions and electronic flashcards that help you to retain and remember the knowledge you need to succeed on the exam and at your next (or current) professional Data Science role.
Data Science is an interdisciplinary field that has rapidly evolved to become a cornerstone of modern business, research, and technology. It encompasses a wide range of techniques and methodologies aimed at extracting meaningful information from both structured and unstructured data. The emergence of Data Science as a distinct discipline can be attributed to the digital revolution of the 21st century, which has led to an exponential growth in the volume, velocity, and variety of data. This deluge of data, often referred to as “big data,” presents both challenges and opportunities. The challenge lies in the ability to manage, process, and analyze vast amounts of data efficiently. The opportunity, on the other hand, is the potential to uncover hidden patterns, correlations, and insights that can inform strategic decisions, optimize processes, and create value.
At its core, Data Science integrates principles from statistics, mathematics, Computer Science, and domain-specific knowledge to unlock insights that can drive decision-making and innovation. Statistics and mathematics provide the foundational framework for data analysis, enabling data scientists to summarize data, test hypotheses, and draw inferences. Computer Science, particularly in areas such as algorithms, data structures, database management, and programming, is essential for handling and processing data efficiently. Domain expertise, meanwhile, is crucial for understanding the context of the data and interpreting the results in a meaningful way.
You'll find:
- Chapter review questions that validate and measure your readiness for the challenging certification exam
- Complimentary access to the intuitive Sybex online learning environment, complete with practice questions and a glossary of frequently used industry terminology
- Material you need to learn and shore up job-critical skills, like data processing and cleaning, machine learning model-selection, and foundational math and modeling concepts
Perfect for aspiring and current Data Science professionals, CompTIA DataX Study Guide is a must-have resource for anyone preparing for the DataX certification exam (DY0-001) and seeking a better, more reliable, and faster way to succeed on the test.
Contents:
Introduction
Chapter 1: What Is Data Science?
Chapter 2: Mathematics and Statistical Methods
Chapter 3: Data Collection and Storage
Chapter 4: Data Exploration and Analysis
Chapter 5: Data Processing and Preparation
Chapter 6: Modeling and Evaluation
Chapter 7: Model Validation and Deployment
Chapter 8: Unsupervised Machine Learning
Chapter 9: Supervised Machine Learning
Chapter 10: Neural Networks and Deep Learning
Chapter 11: Natural Language Processing
Chapter 12: Specialized Applications of Data Science
Appendix: Answers to Review Questions
Index
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CompTIA DataX Study Guide: Exam DY0-001 
