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Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & Machine Learning) - Couverture souple
Présentation de l'éditeur
While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding—treated in this book as data literacy—resides in knowing what lies behind the data.
Everything from the data’s source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight.It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path.
Topics covered in this book:
Data MiningBig Data
Machine Learning
Alternative Data
Data Management
Web Scraping
Regression Analysis
Clustering Analysis
Association Analysis
Data Visualization
Business Intelligence
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurIndependently published
- Date d'édition2019
- ISBN 10 1081762462
- ISBN 13 9781081762469
- ReliureBroché
- Langueanglais
- Nombre de pages159
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Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & . Data Science & Python Books for Beginners)
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Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & . Data Science & Python Books for Beginners)
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ISBN 13 : 9781081762469
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Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & Machine Learning)
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