Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise
Data Science & Big Data Overview | Tools, Tech & Modern Roles in the Data-Driven Enterprise is a one-day, instructor-led introductory course designed to provide a practical, business-focused understanding of data science, big data, and modern analytics. The course explores how organizations transform raw data into actionable insights through data collection, preparation, analytics, visualization, and emerging AI-driven techniques.
Participants gain a high-level understanding of machine learning, big data technologies, and commonly used data science tools, with a focus on how these technologies support strategic decision-making across the enterprise. The course also examines modern data science roles, team structures, and infrastructure considerations, helping learners understand how data initiatives are planned, executed, and scaled in real-world environments.
A featured highlight includes a demonstration of a Retrieval Augmented Generation (RAG)–based GPT solution, illustrating how advanced AI technologies integrate into data workflows and support business processes. This course serves as an ideal primer for professionals new to data science or those seeking a strategic, conversational-level understanding before pursuing advanced training.
- Understand the fundamentals of data collection, cleansing, and preparation
- Explain how data visualization supports decision-making and communication
- Describe the basics of machine learning and its business applications
- Understand the role of big data technologies in handling large-scale data
- Recognize the value of data-driven insights in strategic planning
- Understand how data teams are structured and collaborate effectively
- Identify common programming languages and tools used in data science
- Communicate data science concepts confidently at a business and technical level
- Business analysts and project managers
- Department heads and decision-makers
- IT professionals seeking foundational data science knowledge
- Aspiring data analysts and data professionals
- Technical staff supporting data-driven initiatives
- Professionals who need to participate in or lead data-informed discussions
- A basic understanding of data concepts and data types
- Fundamental analytical and problem-solving skills
- Familiarity with general business operations and workflows