Data Exploration, Cleaning & Programming for Data Science
About This Course
Learners will be able to:
• Define data management structures to align and streamline processes of data ownership, retrieval, combination and usage
• Plan processes for effective data storage, sharing and utilisation within the organisation
• Update policy, standards and procedures on data management for compliance with relevant legislation
• Introduce relevant standards and tools that can be applied to the management and treatment of critical data
• Identify gaps, inefficiencies and potential risks in existing data management processes
• Propose enhancements or modifications to data handling procedures
• Establish internal processes to monitor compliance of information or data handling and access requests with approved procedures
• Provide ongoing advice to ensure proper adoption of and adherence to data policies and information architectures
What You'll Learn
By the end of the unit, learner will be proficient in data preparation and programming for data science in Python.
Entry Requirements
Minimum Age: 21
Academic Level: At least 3 GCE ‘O’ Level Passes including English Language with C6 Passes or Higher Nitec or Equivalent
Language Proficiency:
Be able to listen, speak, read and write English at a proficiency level equivalent to WSQ Workplace Literacy (WPLN) Level 4.