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Старый 26.06.2025, 04:36
hopaxom869@amxyy.com hopaxom869@amxyy.com вне форума
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Регистрация: 25.08.2024
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По умолчанию 3 Books In 1: Mastering Data Analytics, Visualization, And Communicating Data


English | November 22, 2024 | ASIN: B0DNVJPV7P | 421 pages | EPUB | 1.12 Mb
3 Books in 1: Mastering Data Analytics, Visualization, and Communicating Data (2025 Edition)


Unlock the secrets to becoming a data analytics expert with this ultimate 3-in-1 guide! Whether you're starting your journey in data literacy, enhancing intermediate skills, or mastering advanced analytics techniques, this book is your go-to resource for tips, tricks, and strategies on coding, visualization, and effective communication.
Why Choose This Book?
  • Comprehensive Learning: Covering essential, intermediate, and advanced data analytics, this 3-in-1 guide provides a structured learning path for beginners and seasoned professionals alike.
  • Practical Insights: Packed with hands-on projects, case studies, and coding examples in Python, R, and SQL to ensure real-world application.
  • Visualization Mastery: Learn how to transform raw data into impactful visuals and communicate insights that drive decisions.
  • Future-Ready Skills: Stay ahead of the curve with advanced topics like machine learning, data mining, and time series analysis.

What You'll Learn
Book 1: Essential Data Analytics
  • Master the fundamentals of data literacy and essential software tools.
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Book 2: Intermediate Data Analytic Skills
  • Advanced SQL techniques for complex data queries.
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  • Build a complete data analytics pipeline through an integrated project.

Book 3: Mastering Advanced Data Analytics
  • Dive deep into machine learning and feature engineering.
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  • Ethics, strategies, and future trends in data analytics.

Who Is This Book For?
  • Aspiring data analysts and professionals looking to upskill.
  • Students and educators seeking a comprehensive guide to data analytics.
  • Business leaders and decision-makers aiming to leverage data-driven strategies.

Key Features
  • Step-by-Step Guidance: Learn with clear explanations and actionable examples.
  • Hands-On Practice: Apply concepts through sample projects and coding exercises.
  • Expert Tips: Gain insights from experienced data professionals.

Цитата:
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