Mastering Data Science with Python
Course Description
In this course, students embark on a comprehensive journey through data science and computing systems using Python. They gain hands-on experience manipulating DataFrames, creating interactive visualizations with Plotly, and mastering time-series forecasting using ARIMA and Darts. The curriculum extends beyond data analysis to cover the fundamentals of computing hardware, operating systems, and cybersecurity. Students will also investigate the societal impact of computational innovations, including the digital divide and legal regulations. This holistic approach ensures learners develop critical technical skills alongside an understanding of the ethical landscape in the age of AI.
Course Learning Goals
Develop proficiency in Python libraries like Pandas, Matplotlib, and Plotly for data manipulation and visualization.
Analyze real-world datasets to identify trends, seasonality, and patterns using time-series analysis.
Apply advanced forecasting techniques using ARIMA and SARIMA models to predict future data points.
Understand the architecture of computing systems, including hardware components, operating systems, and logic gates.
Troubleshoot network functionality issues and implement cybersecurity best practices to secure applications against vulnerabilities.
Evaluate the impact of computational innovations on society, including the digital divide and environmental implications.
Interpret legal and ethical frameworks regarding software development, intellectual property, and data privacy.
Course Information
