Professional Python for Data Science

Module 1: Data Science Fundamentals

• Role of data science in decision-making.
• Data science workflow.
• Python as a data science tool.

Module 2: Data Manipulation with Pandas

• Data cleaning and transformation.
• Exploratory data analysis (EDA).
• Data visualization with Matplotlib and Seaborn.

Module 3: Statistical Analysis with Python

• Descriptive statistics.
• Hypothesis testing.
• Regression analysis.

Module 4: Machine Learning for Data Science

• Supervised and unsupervised learning.
• Model evaluation and selection.
• Feature engineering and selection.

Module 5: Data Science Projects and Communication

• Working on data science projects.
• Communicating findings through data storytelling.
• Data ethics and privacy considerations.