Overview:
This 12-week advanced course delves into sophisticated data manipulation techniques, high-performance computing in Python, and practical applications for data analysis. It is designed for Python users who are familiar with the basics and wish to expand their skill set in handling, analyzing, and visualizing complex datasets effectively.
What You'll Learn
- Proficient use of Pandas for advanced data manipulation tasks.
- Leveraging NumPy for high-performance scientific computing.
- Time series analysis in Pandas for trend analysis and forecasting.
- Techniques for complex data transformations to prepare data for analysis.
- Efficient memory management to optimize Python's performance.
- Performance tuning of Python code for large datasets.
- Integrating Python scripts with relational and NoSQL databases.
- Advanced data visualization techniques using Matplotlib and Seaborn.
- Automating repetitive tasks and workflows using Python.
- Implementing robust error handling to build reliable applications.
