Professional Data Analysis with Python
About Course
Module 1: Introduction to Data Analysis
- Data analysis process.
- Data types and formats.
- Data analysis tools and libraries.
Module 2: Data Wrangling and Cleaning
- Data cleaning and preprocessing.
- Handling missing data.
- Data transformation and normalization.
Module 3: Exploratory Data Analysis (EDA)
- Descriptive statistics.
- Data visualization with Python (e.g., Matplotlib, Seaborn).
- Exploring data patterns and relationships.
Module 4: Data Analysis with Pandas
- Pandas library for data manipulation.
- Data aggregation and summarization.
- Advanced data analysis techniques.
Module 5: Data Visualization and Reporting
- Creating interactive visualizations (e.g., Plotly).
- Building dashboards.
- Communicating data insights effectively.