Add data curation to your data science tool kit. Learn how to develop curation files to document information about datasets and related business processes.

Build and use optimal data dashboards with Microsoft Power BI. Learn how to design and customize the setup of visuals and charts to make your findings easy to understand.

Learn how technology can support marketing in the digital era, in this audio-only summary of the popular book by Tom Chavez, Vivek Vaidya, and Chris O’Hara.

Learn how to design computer algorithms to be more ethical when making complex decisions.

Learn how to make informed, ethical decisions on how to use your customer data.

Technology has given organizations an opportunity to work with data in interesting new ways, but now governments, citizens, and customers are taking a close look at how companies use or misuse data. If one of your customers posts harmful information, should you take it down? Can you use data to manipulate your customer’s behavior? The answers to these questions have an enormous impact on how your customer views your organization. Yet, these decisions aren’t happening in the boardroom. Instead, they’re made in much smaller meetings by people just like you. Instructor Doug Rose gives you the understanding and skills you need to discuss these issues in a way that's both meaningful and productive. Doug begins with ethical views that you need to consider. He goes over ways data can be misused, by a company and by a customer. Then Doug goes over the responsibility to be accurate and what you can do when inaccurate materials are propagated. He concludes with an overview of data challenges. This course was created for LinkedIn Learning by Doug Rose. We are pleased to offer this training in our library.

Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.

The revolution in data science has transformed, for better or worse, the way companies do business in the last few decades. But data science isn't just for capitalists. AI is one of the most important forces for change developed in the last century, and we've only begun to recognize its true power and potential. In Data for Good: Using Data Science in Nonprofits and NGOs, Martin Kemka examines how data science and machine learning can be used outside of the for-profit sector. He covers parameters for how data works to influence our world, how the data-for-good concept can be applied, how to determine the best problems to solve with data, and what tools are needed. Martin also provides real-world case studies and challenges to further illustrate the lessons.

Learn how to use Python tools and techniques to solve one of the main challenges data scientists face: getting good data to train their algorithms.

Learn what rights you have to your own data—and what responsibilities businesses and institutions have to protect and respect those rights.

Learn about the jobs and most valuable certifications available in big data, data analytics, and data science.