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    Results for "spark and pyspark"

    • 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, Distributed Computing, Performance Tuning, Data Transformation, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      451 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      E

      Edureka

      Introduction to PySpark

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

      3.7
      Rating, 3.7 out of 5 stars
      ·
      42 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      Packt

      Power BI Masterclass 8 -Python, Finance, and Advanced DAX

      Skills you'll gain: Financial Data, Financial Analysis, Analytics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
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      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark

      Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, SQL, Functional Design, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
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      I

      IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      784 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Spark, Hadoop, and Snowflake for Data Engineering

      Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      53 reviews

      Advanced · Course · 1 - 4 Weeks

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      Board Infinity

      Java in Machine Learning

      Skills you'll gain: Apache Spark, MLOps (Machine Learning Operations), Deep Learning, Java Programming, Java, Applied Machine Learning, Jenkins, Spring Framework, Image Analysis, Application Deployment, Big Data, Statistical Analysis, Scalability, Decision Tree Learning, Machine Learning, Spring Boot, Regression Analysis, Reinforcement Learning, Natural Language Processing, Debugging

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      PySpark for Data Science

      Skills you'll gain: PySpark, Data Pipelines, Data Processing, Data Visualization, Natural Language Processing, Pandas (Python Package), Feature Engineering, Machine Learning, Data Transformation, Supervised Learning, Text Mining, Deep Learning, Scalability, Regression Analysis

      2.9
      Rating, 2.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Python Programming, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Hadoop and Spark Fundamentals: Unit 3

      Skills you'll gain: Apache Hadoop, Apache Hive, Apache Spark, Big Data, Data Pipelines, Data Import/Export, Data Integration, Data Processing, Relational Databases, File Systems, Command-Line Interface, Configuration Management, Software Installation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      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, PySpark, Data Pipelines, Data Integration, Data Management, Automation, Data Storage, Development Testing, Data Processing, Jupyter, Data Quality, User Provisioning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
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      IBM

      ETL and Data Pipelines with Shell, Airflow and Kafka

      Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      424 reviews

      Intermediate · Course · 1 - 3 Months

    1234…834

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

    • Introduction to Big Data with Spark and Hadoop: IBM
    • Introduction to PySpark: Edureka
    • Power BI Masterclass 8 -Python, Finance, and Advanced DAX: Packt
    • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
    • NoSQL, Big Data, and Spark Foundations: IBM
    • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
    • Java in Machine Learning: Board Infinity
    • PySpark for Data Science: Edureka
    • Databases and SQL for Data Science with Python: IBM
    • Hadoop and Spark Fundamentals: Unit 3: Pearson

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