basic AI algorithms and explore practical applications of AI. Overview of AI and Machine Learning Types of machine learning (supervised, unsupervised, reinforcement) Introduction to Python Libraries for AI - NumPy, Pandas, Matplotlib Scikit-learn for machine learning Building AI Models Data preprocessing Training and evaluating models Advanced Programming for AI Integration This programme aims to equip participants with the knowledge and More ❯
an experienced Data Developer to join their team on a permanent basis. In order to be successful, you will have the following experience: Extensive Data Development background within Python (Pandas) Strong SQL skills along with JSON, XML and CSV formats Experience of using APIs for data access Experience with ETL processes and pipeline development SC Cleared Within this role, you … will be responsible for: Cleaning and processing tabular data (Excel, CSV, databases) Building data transformation pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloguing and reference data management Learning and applying RDF and semantic web concepts Collaborating with More ❯
an experienced Data Developer to join their team on a permanent basis. In order to be successful, you will have the following experience: Extensive Data Development background within Python (Pandas) Strong SQL skills along with JSON, XML and CSV formats Experience of using APIs for data access Experience with ETL processes and pipeline development SC Cleared Within this role, you … will be responsible for: Cleaning and processing tabular data (Excel, CSV, databases) Building data transformation pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloguing and reference data management Learning and applying RDF and semantic web concepts Collaborating with More ❯
