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  • Spark Basics

Results for "spark basics"


  • Status: New
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    P

    Pearson

    Hadoop and Spark Fundamentals

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

    Intermediate · Specialization · 1 - 4 Weeks

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

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    38 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Integrity, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
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    10K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    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, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, System Testing, File Systems, Data Quality, User Provisioning, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    25 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Michigan State University

    Photography Basics and Beyond: From Smartphone to DSLR

    Skills you'll gain: Design Elements And Principles, Photography, Photo Editing, Peer Review, Image Quality, Photo/Video Production and Technology, Digital Design, File Management, Adobe Creative Cloud, Creativity, Storytelling, Digital Publishing, Social Media, Content Creation, Copywriting, Information Privacy, Writing, Web Design and Development

    4.7
    Rating, 4.7 out of 5 stars
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    6.6K reviews

    Beginner · Specialization · 3 - 6 Months

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  • Status: New
    New
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    Packt

    Big Data Foundations with Hadoop and Spark

    Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, Apache Hive, Big Data, Applied Machine Learning, Data Processing, Apache, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, Query Languages, IntelliJ IDEA, Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
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    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    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
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    465 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    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, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management

    4.5
    Rating, 4.5 out of 5 stars
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    810 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    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, Data Transformation, SQL, Data Analysis

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

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Introduction to Microsoft Azure Cloud Services

    Skills you'll gain: Microsoft Azure, Cloud Services, Virtualization, Cloud Computing, Virtual Machines, Cloud Platforms, Cloud Storage, Cloud Infrastructure, Virtual Private Networks (VPN), Public Cloud, General Networking, Database Management Systems, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Hadoop and Spark Fundamentals: Pearson
  • Spark and Python for Big Data with PySpark: EDUCBA
  • Generative AI: Prompt Engineering Basics: IBM
  • Excel Basics for Data Analysis: IBM
  • Mastering Azure Databricks for Data Engineers: Packt
  • Photography Basics and Beyond: From Smartphone to DSLR: Michigan State University
  • Big Data Foundations with Hadoop and Spark: Packt
  • Introduction to Big Data with Spark and Hadoop: IBM
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Machine Learning with Apache Spark: IBM

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