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  • Spark And Pyspark

Results for "spark+and+pyspark"


  • Status: New
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    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization

    4.4
    Rating, 4.4 out of 5 stars
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    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    43 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Machine Learning Methods, Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
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    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
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    813 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
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    466 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Pearson

    Hadoop and Spark Fundamentals

    Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Processing, Data Import/Export, Data Integration, Linux Commands, File Systems, Text Mining, Data Transformation, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Java, C++ (Programming Language)

    Intermediate · Specialization · 1 - 4 Weeks

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    E

    Edureka

    Introduction to PySpark

    Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability

    3.7
    Rating, 3.7 out of 5 stars
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    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Mastering Azure Databricks for Data Engineers

    Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality

    4.4
    Rating, 4.4 out of 5 stars
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    29 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Model Deployment, Google Cloud Platform, Data Lakes, Data Pipelines, Dataflow, Big Data, Tensorflow, Apache Spark, Unstructured Data, Apache Hadoop, Data Warehousing, Applied Machine Learning, Data Infrastructure, Real Time Data, Extract, Transform, Load, Data Processing, Cloud Storage, PySpark, Feature Engineering, Cloud Computing

    4.7
    Rating, 4.7 out of 5 stars
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    814 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    EDUCBA

    Hadoop Projects: Analyze Big Data with Hive & Pig

    Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Data Warehousing, Data Integration, Data Processing, Enterprise Application Management, Performance Tuning, Data Manipulation, Data Analysis, Distributed Computing, Data Import/Export, SQL, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    EDUCBA

    Big Data with Hadoop: Apply MapReduce, Pig & Hive

    Skills you'll gain: Apache Hive, Big Data, JSON, Case Studies, Economics, Policy, and Social Studies, Apache Hadoop, People Analytics, Policty Analysis, Research, and Development, Analytics, Data Analysis, Social Sciences, Data-Driven Decision-Making, Data Preprocessing, Data Processing, Business Analytics, Data Transformation, Query Languages, Debugging, Demography

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    EDUCBA

    Big Data Analytics with Hive, Pig & MapReduce

    Skills you'll gain: Apache Hive, Big Data, Database Design, Extensible Markup Language (XML), Databases, Apache Hadoop, Analytics, Social Media, Data Processing, Social Media Content, Data Management, Data Analysis, Data Integration, Data Transformation

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular spark+and+pyspark courses

  • Data Science Beyond the Basics (ML+DS): Coursera
  • Spark and Python for Big Data with PySpark: EDUCBA
  • PySpark for Data Science: Edureka
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Introduction to Big Data with Spark and Hadoop: IBM
  • Hadoop and Spark Fundamentals: Pearson
  • Introduction to PySpark: Edureka
  • Mastering Azure Databricks for Data Engineers: Packt
  • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
  • Hadoop Projects: Analyze Big Data with Hive & Pig: EDUCBA

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