Introduction to Data Governance

Data Quality, Data Management, Data Governance, Data Management for Data Analysis and Data Science, Data IT Management

Best Practices for Effective Data Management

Generate value from data by adopting evolutionary mindset in a complex, volatile and constantly-changing environment

Data Governance, DG Framework, Data Lineage, Data Catalog, Data Quality, Master Data Management, Stewardship, Taxonomy

Commerce and research are being transformed by data-driven discovery and prediction. Skills required for data analytics at massive levels – scalable data management on and off the cloud, parallel algorithms, statistical modeling, and proficiency with a complex ecosystem of tools and platforms – span a variety of disciplines and are not easy to obtain through conventional curricula. Tour the basic techniques of data science, including both SQL and NoSQL solutions for massive data management (e.g., MapReduce and contemporaries), algorithms for data mining (e.g., clustering and association rule mining), and basic statistical modeling (e.g., linear and non-linear regression).

Foundations of Data Virtualisation for complete beginners