INTRODUCTION TO DATA SCIENCE (2 SCU)
Learning Outcomes:
On successful completion of this course, students will be able to: LO1 – Describe the concept of Data Science; LO2 – Use built-in Python data types and Python functions for data science; LO3 – Perform Data Manipulation in Python.
Topics:
- Data Manipulation with Pandas;
- Dictionary, Sets, and frozensets;
- Fundamentals of Python;
- Execution Control;
- Sequences;
- Numpy (Numerical Python) Library;
- Data Manipulation;
- Function;
- Data Science Project Stages;
- Data Science overview.
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