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.