Python essentials for every aspiring Data Analyst
  • Write clean and efficient Python code to support data handling and analysis tasks
  • Understand key programming concepts such as data types, loops, and functions for structured workflows
  • Use scripting to support repetitive analysis and improve preparation processes


Leverage Pandas for structured data manipulation
  • Load, clean, and reshape data using pandas DataFrames and Series
  • Filter, group, and aggregate data to explore patterns and draw conclusions
  • Work effectively with missing values, date formats, and combined data tables


Data visualization with Matplotlib and complementary tools
  • Create various chart types—including histograms, scatter plots, bar charts, and boxplots—with matplotlib and pandas
  • Customize visuals to match analytical objectives and presentation contexts
  • Combine pandas and matplotlib to build complete visual reports in Python


Build an integrated Data Analyst skill set
  • Construct full analysis workflows, from data import and preparation to visualization and interpretation
  • Apply tools and methods in practical projects such as taxi trip and churn analysis
  • Gain confidence through hands-on experience with real datasets and structured analytical processes