Data Analtytics... teaching business minds to analyze data.

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Introduction

Dominic Fernandez

Contents

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Table of Contents

One principle of data science is to extract useful knowledge from cleandata - to solve a business-problem. May sound obvious, but thisinvolves processes within Data Analytics, namely: ✪ Identifying and Formulating the Problem; ✪ Choosing a method; ✪ Evaluating the solution; ✪ Formulating a Strategy; Great Chefs become professionals by applying their skills (craft), notjust reading books about cooking.

Participants will be encouraged to play and build their skills using: ✪ Open source tools running on the Cloud; ✪ Managing data within My Data; ✪ Preparing data with OpenRefine;

IntroductionTraining is intended for business people who may well bedoing what data scientists, or technical developers would bedoing - To Analyze Mounds of Data!  Data Analytics may sound frightening and technical, but thistraining is to have business-minds really understand data, ANDidentify some tools that make data analytics look like child'splay!

He loves to articulate business processes for business units and deliverinnovative solutions that make businesses flexible, resilient and leadersin today’s global economy – leading them on a journey to productivity,profitability and competitive advantage.

Dominic is intrigued and involved with Big Data and DataAnalytics. He has been acclaimed by IBM, and certified byBig Data University ... click here ... to view his Badges.

Dominic Fernandez is a project-oriented, business savvy, empathetic Principal atComputants Inc.

ContentsBuilding analytics with:

✪ Jupyter; ✪ Zeppelin;

✪ RStudio IDE; ✪ Seahorse;

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