| NQF level: | Credits: | ||
| Module presented in | |||
| Purpose: The syllabus is a combination of different types of knowledge, concepts, processes and contexts, and includes the following: Data Science Big Data Computational environment for Data Science οΎ– Python and Jupyter Notebook Efficient storage and manipulation of dense data arrays in Python. Efficient storage and manipulation of columnar data in Python. Data visualizations in Python. Machine Learning | |||