Data Science

  • Get insights from datasets that contain structured and unstructured data.
  • Apply descriptive, referential, predictive data analysis on different datasets.
  • Use computational, mathematical methods to work with data.

Data Engineering

  • Understand ETL process and build data pipeline from end to end.
  • Learn to build big data platforms such as Hadoop and Spark.
  • Scale the platform to work with diverse problems and huge datasets.

Machine Learning

  • Understand statistical pattern recognition and learn how to apply it to applications.
  • Apply basic Machine Learning models such as Logistic Regression, Decision Tree, etc.
  • Use ML libraries such as TensorFlow to train and test Machine Learning models.
Why LabOne?

Learn and Connect with Other Data Science and Machine Learning Enthusiasts.



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