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    • Pyspark

    PySpark Courses Online

    Learn PySpark for big data processing. Understand how to use PySpark for distributed data analysis and machine learning.

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    Explore the PySpark Course Catalog

    • C

      Coursera Project Network

      Data Analysis in Python: Using Pandas DataFrames

      Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Matplotlib, Data Visualization Software, Exploratory Data Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The R Programming Environment

      Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Debugging, Application Programming Interface (API)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

      Skills you'll gain: Apache Spark, Managed Services, Google Cloud Platform, Big Data, Apache Hadoop, Data Management, Servers

      4
      Rating, 4 out of 5 stars
      ·
      11 reviews

      Beginner · Project · Less Than 2 Hours

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

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability

      Beginner · Course · 1 - 4 Weeks

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

      Packt

      Advanced Data Management in Azure Databricks

      Skills you'll gain: Databricks, Real Time Data, Data Governance, Data Lakes, Microsoft Azure, Data Architecture, Data Management, Data Pipelines, Apache Spark, Data Quality, Data Integrity

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning with Spark on Google Cloud Dataproc

      Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

      Intermediate · Project · Less Than 2 Hours

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

      Packt

      Automation and Project Implementation in Azure Databricks

      Skills you'll gain: CI/CD, Databricks, Microsoft Azure, Data Architecture, Cloud Engineering, Secure Coding, Data Storage Technologies, Integration Testing, Automation, Restful API, Command-Line Interface, Systems Design, Data Pipelines, Software Design, GitHub

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Logistic Regression with NumPy and Python

      Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Applied Machine Learning, Supervised Learning, Regression Analysis, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      393 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Distributed Image Processing in Cloud Dataproc

      Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Distributed Computing, Package and Software Management

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      C

      Coursera Project Network

      Scripting with Alteryx: Python and R for Advanced Workflows

      Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Advanced Analytics, Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Transformation, Risk Modeling

      Intermediate · Guided Project · Less Than 2 Hours

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    1…789…10

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

    • Data Analysis in Python: Using Pandas DataFrames: Coursera Project Network
    • The R Programming Environment: Johns Hopkins University
    • Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud: Google Cloud
    • Foundations of ML & Python for Data Science: Packt
    • Advanced Data Management in Azure Databricks: Packt
    • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
    • Automation and Project Implementation in Azure Databricks: Packt
    • Logistic Regression with NumPy and Python: Coursera Project Network
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Introduction to Data Science and scikit-learn in Python: LearnQuest

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