A Deconstructed Guide to Data Literacy
Author: Oliver Theobald
Publication date: October 8, 2021
Format: Digital and Paperback
Print length: 160 pages
Unlock the power of data analytics with this comprehensive guide Looking to enhance your skill set with data analytics but not sure where to begin? This book breaks down the complexities of data analytics into manageable parts, teaching you the vocabulary, tools, and basic algorithms needed to think like a data scientist. Using a “Lego set” approach, each chapter builds upon previous knowledge to gradually increase your data literacy. By following this structured approach, you’ll go from zero to confidently analyzing and discussing data problems.
Who Should Read This Book? This book is perfect for anyone interested in understanding data analytics, regardless of their familiarity with data science terminology or advanced math. If you’ve struggled to learn data analytics in the past, this book is for you.
Practical Learning This book takes a hands-on approach to learning, offering practical examples, visual aids, and two bonus Python coding exercises, along with free video content to guide you through them. By the end of the book, you’ll have the practical skills needed to tackle real-world data problems in your organization or daily life.
What You’ll Discover
- Common data types every data scientist should master
- Storage options for your data, including Big Data
- Emerging trends in data analytics, such as Alternative Data and its significance
- How to differentiate between Data Mining, Machine Learning, and Analytics for your colleagues
- Practical applications of Regression Analysis, Classification, Clustering, Association Analysis, and Natural Language Processing
- Using Data Visualization and Business Intelligence to make informed business decisions
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