
Understanding how to confidently work with data is key to getting the most out of the rapid developments in AI. Develop the essential skills needed to take advantage of everything that data and AI can offer you and your organization with this practical guide. Starting with the basics, Data and AI Skills by international bestselling author Jordan Morrow will teach you how to build your own step-by-step frameworks for working with data and AI in your organization. It covers defining, developing and deploying effective use cases along with guidance on how to apply your own judgement to data and AI projects and decisions. In the book, you'll gain the skills and knowledge needed to immediately start working with data and AI. Cutting through the hype, it explains how early-career business professionals can build a plan to succeed in the digital age. With the continuous and rapid emergence of exciting new tools and use cases, applying your own human and emotional intelligence to understanding data and AI has never been more important. Data and AI Skills will show you how to integrate those skills to ensure long-term success.

It is vital for data professionals to understand the business needs and outcomes of the organizations they work for and collaborate effectively with non-technical colleagues. Business 101 for the Data Professional is the definitive guide for data professionals looking to upskill their organizational effectiveness and enhance their career prospects. From business strategy to different business areas such as product, marketing, sales and operations to data monetization and value, the book explains how these contribute to the business, and, crucially, the role that data plays in supporting them. Business 101 for the Data Professional explores how to navigate key challenges and pitfalls of data in business, such as bias, misuse of data and the balancing of data and technical debt. It shows how to build networking, influencing and relationship building skills and outlines the key principles of strong communication and data storytelling, explaining how these can be used to engage effectively with internal and external stakeholders such as clients. It is supported by examples, summaries of key learnings, and exercises at the end of each chapter to help readers detail their progress and map out their goals.

Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making. Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making. Be Data Analytical examines each of these four levels of analytics in-depth: what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action.

Make any team or business data driven with this practical guide to overcoming common challenges and creating a data culture. Businesses are increasingly focusing on their data and analytics strategy, but a data-driven culture grounded in evidence-based decision making can be difficult to achieve. Be Data Driven outlines a step-by-step roadmap to building a data-driven organization or team, beginning with deciding on outcomes and a strategy before moving onto investing in technology and upskilling where necessary. This practical guide explains what it means to be a data-driven organization and explores which technologies are advancing data and analytics. Crucially, it also examines the most common challenges to becoming data driven, from a foundational skills gap to issues with leadership and strategy and the impact of organizational culture. With case studies of businesses who have successfully used data, Be Data Driven shows managers, leaders and data professionals how to address hurdles, encourage a data culture and become truly data driven.

In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data. It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without retraining as a data scientist or statistician. With learnings to show development and real-world examples from industries implementing data literacy skills, this book explains how to confidently read and speak the 'language of data' in the modern business environment and everyday life. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions. Written by a founding pioneer and worldwide leading expert on data literacy, this book empowers professionals with the skills they need to succeed in the digital world.
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