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Spark Courses

Spark courses can help you learn data processing, real-time analytics, machine learning integration, and big data management. You can build skills in distributed computing, data visualization, and optimizing performance for large datasets. Many courses introduce tools like Apache Spark, Scala, and Python, showing how these technologies are used to handle vast amounts of data efficiently and support AI applications.


Popular Spark Courses and Certifications


  • Status: New
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    Pearson

    Hadoop and Spark Fundamentals: Unit 3

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    École Polytechnique Fédérale de Lausanne

    Functional Programming in Scala

    Skills you'll gain: Scala Programming, Apache Spark, User Interface (UI), Distributed Computing, Programming Principles, Big Data, Data Processing, Software Design, Data Structures, Software Design Patterns, Functional Design, Data Manipulation, Object Oriented Programming (OOP), Heat Maps, Interactive Data Visualization, Computer Programming, Real Time Data, Visualization (Computer Graphics), Geospatial Information and Technology, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Engineering Data Ecosystems: Pipelines, ETL, Spark

    Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture, Database Design, Scalability

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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), 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

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    Pearson

    Hadoop and Spark Fundamentals: Unit 2

    Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Analytics, Data Processing, Text Mining, Data Transformation, Distributed Computing, Java, Debugging, Java Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    PySpark: Apply & Analyze Advanced Data Processing

    Skills you'll gain: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark (Scala 2 version)

    Skills you'll gain: Apache Spark, Scala Programming, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Programming Principles, Data Storage Technologies

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Analysis Using Pyspark

    Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    315 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
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    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
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    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Hadoop and Spark Fundamentals: Unit 3: Pearson
  • Functional Programming in Scala: École Polytechnique Fédérale de Lausanne
  • Engineering Data Ecosystems: Pipelines, ETL, Spark: Coursera
  • PySpark for Data Science: Edureka
  • Hadoop and Spark Fundamentals: Unit 2: Pearson
  • PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
  • Databricks Machine Learning Fundamentals: Coursera
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Data Analysis Using Pyspark: Coursera
  • AI Workflow: Enterprise Model Deployment: IBM

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