Big Data Analytics, Data Science and Data Engineering Courses

Key Skills You'll Learn

• Understand core data wrangling and cleaning techniques principles and how they fit together in practice.
• Apply practical techniques for data wrangling and cleaning techniques in day-to-day implementation.

Key Skills You'll Learn

• Analyze sales pipeline data to identify conversion bottlenecks.
• Apply customer segmentation techniques for targeted marketing.

Key Skills You'll Learn

• Understand core databricks spark certification prep principles and how they fit together in practice.
• Apply practical techniques for delta lake architecture in day-to-day implementation.

Key Skills You'll Learn

• Assess a legacy data estate and define a target data architecture for transformation.
• Design relational and dimensional models for ERP-derived data.

Key Skills You'll Learn

• Assess an organisation's digital and data maturity and identify where machine learning can change processes, not just reports.
• Map business processes from event logs with process mining and quantify delays, rework and automation potential.

Key Skills You'll Learn

• Explain how large language models work, where they fail and why grounding is needed.
• Build ingestion pipelines that parse, clean, chunk and enrich enterprise documents.

Key Skills You'll Learn

• Explain how relational, NoSQL and analytical databases differ and when each suits a business need.
• Read entity-relationship diagrams and challenge data models that do not fit business processes.

Key Skills You'll Learn

• Frame business problems as data science questions with measurable success criteria.
• Assess data readiness, quality and access constraints for a proposed project.

Key Skills You'll Learn

• Apply a systematic framework for exploring new datasets.
• Profile datasets to identify structure, types, and quality issues.

Key Skills You'll Learn

• Estimate the total cost of ownership of a machine learning system, from data acquisition and labelling to retraining and decommissioning.
• Prepare budgets and rolling forecasts for data science teams, platforms and cloud compute.

Key Skills You'll Learn

• Describe the data science workflow and where machine learning fits within it.
• Write basic Python code in Jupyter notebooks to load, inspect and manipulate data.

Key Skills You'll Learn

• Design a governance framework for data science and machine learning, with policies, roles, escalation routes and a risk-tiered model inventory.
• Apply data protection and privacy principles to the collection and use of training data.