Develop practical skills through real-world scenarios
  • Work with realistic datasets such as taxi trips and telecom customer data to reflect typical Data Analyst challenges
  • Apply structured workflows to clean, transform, and analyze data using tools like pandas and SQL
  • Extract meaningful insights from raw data to support decision-oriented analysis


Strengthen end-to-end analytical thinking
  • Formulate clear analytical questions and apply suitable methods such as aggregation and regression
  • Identify patterns and trends by exploring and visualizing data with matplotlib
  • Prepare and document results to effectively communicate findings in a professional context


Projects to build a job-ready Data Analyst portfolio
  • Complete applied projects focused on practical domains like transportation and customer retention
  • Produce clear, organized reports that demonstrate data preparation, exploration, and insight generation
  • Apply core skills and workflows to real-world datasets across varied application areas