Data Science Foundation
Objectives
Understand the foundational concepts of Data Science and Data Analytics
Understand data management: ensuring that all required data is available and usable by defining data sources, ownership, security, quality, and processing methods
Understand data interpretation: how to extract meaningful insights from the data generated, stored, and processed by the organization
Understand data communication: ensuring that key insights from data interpretation are effectively conveyed to decision-makers for informed action
Key Contents
- Introduction to Data Science & Data Analytics
- Domain 1: Data Management – Evaluating the current state of your data
- Introduction to data quality and its importance
- Identifying and defining your organization’s data quality requirements
- Domain 2: Data Interpretation – Understanding what your data reveals
- Analyzing basic data trends and relationships
- Applying data-driven decision-making techniques
- Domain 3: Data Communication – Delivering value through insight
- Static and dynamic data visualization
- Designing and utilizing live dashboards for real-time insights
Who Should Attend
Recommended for data analysts and anyone who needs a fundamental understanding and practical knowledge of Data Science and Data Analytics.
Upcoming Public Training
