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Distributed ML with Apache Spark Mini Bootcamp (Available Online)

viaMagnimind
No rating
Difficulty
Beginner
Cost
$300
Format
Instructor Led
Delivery
In-Person
Time Commitment
4 weeks 1 hrs/week

Summary

Magnimind Academy's Distributed Machine Learning with Apache Spark Mini Bootcamp is a comprehensive online course designed for aspiring data scientists and engineers. The course focuses on utilizing Apache Spark for processing and analyzing large datasets like IoT and sensor data in real-time. Learners will gain hands-on experience through project-based learning, enhancing their skills in data quality techniques and machine learning pipelines.

  • Before You Learn / Who This Course Is For
    • Aspiring or beginning data scientists/engineers

    • Intermediate Python/Java/Scala knowledge required

    • Basic statistics and linear algebra familiarity

  • What to Expect
    • Online, project-based learning format

    • Hands-on experience with Apache Spark and Kaggle projects

    • Focus on data quality and cleaning techniques

  • What You'll Achieve
    • Proficiency in Apache Spark for data analysis

    • Ability to implement Spark ML pipelines

Certifications covered by this course

No certifications are covered by this course.

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