PySpark for Data Science Specialization

Unlock the potential of PySpark for data science, mastering data processing and analytics , and machine learning to drive insightful decision-making.

Instructor: Edureka

What you'll learn

  •   Master the fundamentals of Big Data and PySpark to process data using RDDs and DataFrames.
  •   Optimize data science workflows by leveraging advanced PySpark DataFrame and SQL operations.
  •   Build machine learning models with PySpark MLlib, applying regression and clustering techniques.
  •   
  •   Implement data streaming with structured streaming and explore NLP for text processing in big data.

    • Skills you'll gain

  •   Data Processing
  •   Distributed Computing
  •   Feature Engineering
  •   Unsupervised Learning
  •   SQL
  •   Apache Spark
  •   Machine Learning
  •   Data Pipelines
  •   Pandas (Python Package)
  •   Real Time Data
  •   Machine Learning Algorithms
  •   Apache Hadoop

    • Specialization - 3 course series

    In this specialization, learners will apply their PySpark skills to solve real-world problems by conducting sales trend analysis with PySpark SQL, performing feature engineering and model training using PySpark MLlib, and developing a news classification system with Spark NLP. These projects emphasize hands-on experience with PySpark's robust capabilities in data analysis, machine learning, and natural language processing.

    Machine Learning with PySpark

    Data Streaming and NLP with PySpark

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