Applications and Software

PY Spark



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Course Overview

Our in-depth PySpark course is designed to equip you with the skills and knowledge needed to excel in big data processing and analytics. Explore the fundamentals of PySpark, data manipulation, advanced analytics, and machine learning. With hands-on projects and real-world applications, you’ll develop expertise in scalable data processing and gain insights from massive datasets.

What You'll Learn?

  • 𝐏𝐲𝐒𝐩𝐚𝐫𝐤 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬: Master the essentials of PySpark, including RDDs, DataFrames, and Spark SQL for efficient data processing.
  • 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧: Learn to manipulate and transform data using PySpark, including filtering, aggregation, and joining operations.
  • 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Explore advanced analytics techniques in PySpark, including machine learning algorithms and model evaluation.
  • 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠:Gain expertise in processing and analyzing large-scale datasets using PySpark's distributed computing capabilities.
  • 𝐑𝐞𝐚𝐥-𝐖𝐨𝐫𝐥𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Apply your skills to real-world projects, solving data-driven challenges and demonstrating your PySpark proficiency.
  • Basic understanding of Python programming language.
  • Familiarity with data structures and algorithms.
  • Basic knowledge of big data processing concepts is helpful but not required.
  • A computer with Python and PY Spark installed.
  • 24 Hours of Sessions
  • Flexible Schedules
  • 24/7 Lifetime Support
  • Certification Oriented Curriculum
  • FREE Demo on Request
  • One-on-One Doubt Clearing
  • Real-time Project Use cases
  • Duration 01:00:00
  • Language English, Hindi, Telugu
  • Skill Intermediate
  • Last Update December 23, 2023

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