Tools and Technologies in Data Science

==2024-12-23

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Theory

• Programming Languages: Python, R, SQL

  • Python for Everybody (Coursera)
  • R for Data Science (RStudio)
  • SQL for Data Science (Khan Academy)

• Data Collection and Storage: MySQL, Apache Hadoop, Google Cloud

  • MySQL Tutorial (W3Schools)
  • Hadoop Tutorial (Apache)
  • Google Cloud Skills Boost

• Data Cleaning: Pandas

  • Pandas Documentation
  • FreeCodeCamp Pandas Tutorial

• Machine Learning and AI: Scikit-Learn, XGBoost, TensorFlow, PyTorch

  • Scikit-Learn Tutorial (Official)
  • XGBoost Documentation
  • TensorFlow for Beginners (TensorFlow.org)
  • PyTorch Tutorials

• Data Visualization: Tableau, Matplotlib, Seaborn, Plotly

  • Tableau Free Resources
  • Matplotlib Documentation
  • Seaborn Documentation
  • Plotly Python Open Source Graphing Library

• Model Deployment: Docker, Django, Flask

  • Docker Get Started
  • Django Tutorial (Django Project)
  • Flask Quickstart

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