Traditional Analytics to Modern Analytics Best Practices

The Traditional Analytics to Modern Analytics Best Practices course provides the understanding needed to adapt traditional approaches to analytics and business intelligence to modern analytics approaches, ranging from traditional database and data warehouse approaches to data lake and evolving data mesh methods. 

As a data professional, you know the data world is constantly evolving. As organizations move from traditional methods of analytics such as data mining to more sophisticated approaches involving machine learning, predictive analytics, and emerging data mesh approaches, so too do the skill sets need to evolve as well. Learning traditional analytics concepts and how to move them forward to today’s modern analytics best practices is crucial. 

This course provides a comprehensive overview of traditional and modern analytics concepts, terminology, and systems combined with the effective best practices that successful data professionals are using to create state-of-the-art analytic solutions. Training provides a certification of completion.