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Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey - Helion

Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey
ebook
Autor: Kedeisha Bryan, Maaike van Putten
Tytuł oryginału: Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey
ISBN: 9781805128274
stron: 544, Format: ebook
Księgarnia: Helion

Cena książki: 109,00 zł

Książka będzie dostępna od października 2024

Are you interested in becoming a data analyst, but don't know how to begin? Look no further than this comprehensive book that covers everything you need to know to get started with data analysis.

Becoming a Data Analyst will teach you about data collection techniques, data cleaning and pre-processing, exploratory data analysis, statistical analysis, data wrangling and transformation, data modeling, data presentation and communication, and ethical considerations in data analysis.

Each chapter provides clear, step-by-step guidance on how to conduct data analysis using various techniques and tools. You'll also benefit from real-world examples, case studies, hands-on exercises, and visual aids such as diagrams, charts, and graphs to help you understand complex concepts and data.

In addition to practical skills, this book emphasizes problem-solving skills, showing you how to identify and solve real-world problems using data analysis techniques. It also addresses ethical considerations in data analysis, such as data privacy and bias, and provides guidance on how to conduct data analysis in an ethical and responsible manner.

Whether you're just starting out or looking to take your data analysis skills to the next level, Becoming a Data Analyst is the essential guide you need to succeed.

Spis treści

Becoming a Data Analyst. A Beginner's Guide to Kickstarting Your Data Analysis Career eBook -- spis treści

  • 1. What is Data Analytics?
  • 2. The Mindset of a Data Analyst
  • 3. Data Fundamentals
  • 4. Getting Started with Excel and Basic Statistics
  • 5. Querying Data with SQL
  • 6. Data Cleaning and Exploration
  • 7. Basic Data Visualization with Excel
  • 8. Advanced Data Analysis and Dashboarding with Power BI
  • 9. Building Your Data Analytics Portfolio
  • 10. Communicating Your Findings
  • 11. Continuing Education and Career Growth

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