This book is purposefully crafted for readers who are enthusiastic about data, data visualization, and analytics. It serves as an introductory guide, designed to raise awareness and provide a fundamental understanding of a wide spectrum of topics in this field.
The content is structured to offer quick and practical learning experiences tailored to stakeholders engaged in the creation of data products, such as dashboards or data models. Whether you have little to no prior experience or consider yourself a novice, this book offers valuable insights and a fresh perspective on each topic.
Our readership includes a diverse range of individuals, from end users who rely on data products for decision-making to project managers, product managers, analytics translators, and business stakeholders involved in the implementation of analytics projects.
Each topic is thoughtfully curated to cater to a broad knowledge spectrum, spanning from the basics to advanced concepts. These topics are not only intended to raise awareness but also to pique your interest and enhance your learning journey as you delve deeper into each subject. Our aim is to provide readers with a holistic view of analytics projects.
We firmly believe that grasping the fundamentals is paramount before delving into applications. Furthermore, finding a book based on practical analytics experience, replete with insights, pitfalls, best practices, and approaches (though not exhaustive), can be a daunting task. This challenge has driven our intent and motivation to pen this book, with Tip #96 being one of our personal favorites.
In conclusion, our hope is that this book equips readers with a foundational yet advanced understanding of analytics. Armed with this newfound knowledge, readers will be better prepared to anticipate and mitigate potential risks, navigate technology challenges, address uncertainties, minimize rework, and avoid potential project setbacks.
This book is purposefully crafted for readers who are enthusiastic about data, data visualization, and analytics. It serves as an introductory guide, designed to raise awareness and provide a fundamental understanding of a wide spectrum of topics in this field.
The content is structured to offer quick and practical learning experiences tailored to stakeholders engaged in the creation of data products, such as dashboards or data models. Whether you have little to no prior experience or consider yourself a novice, this book offers valuable insights and a fresh perspective on each topic.
Our readership includes a diverse range of individuals, from end users who rely on data products for decision-making to project managers, product managers, analytics translators, and business stakeholders involved in the implementation of analytics projects.
Each topic is thoughtfully curated to cater to a broad knowledge spectrum, spanning from the basics to advanced concepts. These topics are not only intended to raise awareness but also to pique your interest and enhance your learning journey as you delve deeper into each subject. Our aim is to provide readers with a holistic view of analytics projects.
We firmly believe that grasping the fundamentals is paramount before delving into applications. Furthermore, finding a book based on practical analytics experience, replete with insights, pitfalls, best practices, and approaches (though not exhaustive), can be a daunting task. This challenge has driven our intent and motivation to pen this book, with Tip #96 being one of our personal favorites.
In conclusion, our hope is that this book equips readers with a foundational yet advanced understanding of analytics. Armed with this newfound knowledge, readers will be better prepared to anticipate and mitigate potential risks, navigate technology challenges, address uncertainties, minimize rework, and avoid potential project setbacks.
100 Primer Tips On Analytics
100 Primer Tips On Analytics
Product Details
| BN ID: | 2940179403043 |
|---|---|
| Publisher: | Daniel Teo |
| Publication date: | 10/05/2023 |
| Sold by: | Draft2Digital |
| Format: | eBook |
| File size: | 1 MB |