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DataCamp-Projects

DataCamp projects are hands-on and interactive, allowing learners to apply their skills in real-world scenarios. DataCamp projects are designed to simulate real-world scenarios, providing learners with practical experience in solving data-related problems. Learners get hands-on coding experience by working on projects, allowing them to reinforce and apply the concepts learned in DataCamp courses.

Data Analysis

  • Analyze International Debt Statistics: write SQL queries to answer interesting questions about international debt using data from The World Bank.
  • Cleaning Bank Marketing Campaign Data: tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.
  • Investigating Netflix Movies: apply foundational Python skills by manipulating and visualizing movie data.

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Data Analyst and Data Science projects

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