Data Analytics For Absolute Beginners: A Deconstructed Conduct To Data Literacy: (Introduction To Information, Information Visualization, Business Organisation Word & ... Science, Python & Statistics For Beginners)
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Make improve decisions with this deconstructed take to information analytics
Want to add together information analytics to your science stack? Having trouble finding where to beginning?
Cell past cell, flake by chip, this book teaches y'all the vocabulary, tools, as well as basic algorithms to think similar a information scientist. Using the "Lego fix" approach, each chapter adds too connects individual blocks of knowledge to construct your information literacy. This linear structure to unpacking information analytics takes y'all from goose egg to confidently analyzing as well as discussing data problems.
Who is This Book For?
This book is ideal for anyone interested inward making feel of information analytics without the supposition that yous empathise information scientific discipline terminology or advanced math. If you've tried to larn information analytics before and failed, this book is for yous.
Practical Approach
This volume takes a hands-on approach to learning. This includes practical examples, visual examples, likewise as 2 bonus coding exercises inward Python, including gratuitous video content to walk yous through both exercises. By the finish of the volume, yous will accept the practical knowledge to tackle real data problems inwards your arrangement or daily life.
What You Will Learn
• How to recognize the mutual data types every information scientist needs to master
• Where to store your data, including Big Data
• New trends in data analytics, including what is Alternative Data and why few people know near it!
• How to explicate the distinction between Data Mining, Machine Learning, in addition to Analytics to your colleagues
• When together with how to use Regression Analysis, Classification, Clustering, Association Analysis, and Natural Language Processing
• How to make meliorate business concern decisions using Data Visualization and Business Intelligence
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