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Related lectures (15)
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Python Basics: Syntax, Variables, Functions
Covers Python basics such as syntax, variables, and functions, introducing the Renku platform for collaborative data science.
General Introduction to Data Science
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Collaborative Data Science
Covers collaborative data science tools, big data concepts, Spark, and data stream processing, with tips for the final project.
Spark Data Frames
Covers Spark Data Frames, distributed collections of data organized into named columns, and the benefits of using them over RDDs.
Data Wrangling with Hadoop: Storage Formats and Hive
Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.
