Introduction to Big Data and Data Science for Bankers

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.

After completion of this program, participants will be better able to:

• Describe the Big Data landscape including examples of real-world big data problems including the three key sources of Big Data: people, organizations, and sensors.
• How Big Data could impact the banking business,
• Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis, and reporting.
• Get value out of Big Data by using a 5-step process to structure your analysis.
• Identify what are and what are not big data problems and be able to recast big data problems as data science questions.