Showing results for "Data Science" in Education & Learning

There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in the technology-driven future. Authors Sakti Mishra, Dylan Qu, and Anusha Challa equip you with the knowledge and sought-after skills necessary to effectively manage data and excel in your career.

In this comprehensive study guide, you will build a strong foundation in all topics covered on the certification exam, including the Databricks Lakehouse and its tools and benefits.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.

When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?

Using information in its everyday, nonspecialized sense, Michael Buckland explores the influence of information on what we know, the role of communication and recorded information in our daily lives, and the difficulty (or ease) of finding information. He shows that all this involves human perception, social behavior, changing technologies, and issues of trust.

Discover the world of Generative AI and Data Science with our CEO and Chief Data Scientist, Raja Iqbal, in Data Science Dojo's very first podcast series. Join us as we explore diverse topics, break down complex concepts, share learnings and insights, through educational discussions with founders, co-founders, thought leaders and experts in the industry. Tune in to make AI and Data Science trends easy to understand and empower yourself with expert knowledge! 

First Arabic Podcast about Data Science. This podcast gives industry experience, insights, analysis, and research about data technologies, Artificial intelligence, and Machine Learning. أول بودكاست عن علم البيانات باللغه العربيه يقدم هذا البودكاست الخبرة والأفكار والتحليل والبحوث حول تقنيات البيانات والذكاء الاصطناعي وتعلم الآلة. يقدم البودكاست باللغه العربيه واللغه الانجليزيه https://www.linkedin.com/in/...

Deutschlands meistgehörter Data Science Podcast – jetzt reinhören, ganz ohne Anmeldung Ob Data Science, Machine Learning oder künstliche Intelligenz – in diesem Podcast bekommst du mehr als nur Theorie. Prof. Dr. René Brunner liefert verständliche Einblicke in komplexe Themen und zeigt, wie Daten echte Wirkung entfalten. Praxisnah, aktuell und inspirierend. Was dich erwartet: Jede Episode beleuchtet ein spannendes Thema – zusammen mit Expertinnen und Experten aus der Wirtschaft. Es geht um konkrete Anwendungsfälle, Best Practices und Trends direkt aus dem Unternehmensalltag. Dein ...

Random Acts of Automation dives deep into the hidden consequences of our rapid automation, examining the forces that will reshape the current workforce. This book focuses on real people—fast-food workers, warehouse staff, customer service agents, even lawyers and tech professionals—all facing the impact of automation. In its chapters, you will find practical solutions to your workplace concerns about AI. This isn't just about understanding your current job; it's about seeing where automation will take you and how you can thrive.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.

“A practical, heartfelt manual for anyone who needs to change minds and actions. Lisa Cron shares the art of practical empathy with leaders who care enough to make a difference.”—Seth Godin, author of The Practice A step-by-step guide to using the brain’s hardwired need for story to...