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Explore the Apache Spark Course Catalog
- Status: Free Trial
Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines
- Status: Free Trial
Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming
Google Cloud
Skills you'll gain: Data Wrangling, Data Transformation, Data Pipelines, Extract, Transform, Load, Cloud Engineering, Google Cloud Platform, Data Integration, Cloud Development, Cloud-Based Integration, Data Analysis, Database Administration, Data Management
Skills you'll gain: Performance Tuning, Operational Databases, PostgreSQL, Test Data, Database Systems, Database Management, Database Architecture and Administration, Test Case
- Status: NewStatus: Free Trial
Skills you'll gain: Databricks, CI/CD, Microsoft Azure, Data Architecture, Data Pipelines, Data Integration, Data Security, Automation, Data Storage, System Testing, Command-Line Interface
- Status: NewStatus: Free Trial
Board Infinity
Skills you'll gain: Decision Tree Learning, Fraud detection, Regression Analysis, Debugging
- Status: NewStatus: Free Trial
Skills you'll gain: Data Lakes, Microsoft Azure, Stored Procedure, Data Architecture, Performance Tuning, Data Management, Query Languages, Data Manipulation, Scripting, SQL, Data Processing, Windows PowerShell, Microsoft Visual Studio, Command-Line Interface, Heat Maps
- Status: Free Trial
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence
Coursera Project Network
Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Matplotlib, Feature Engineering, Scatter Plots, Data Analysis, Statistics, Exploratory Data Analysis, Seaborn, Data Visualization Software, Correlation Analysis, Applied Machine Learning
- Status: NewStatus: Free Trial
Skills you'll gain: Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Data Processing, Applied Machine Learning, Scalability, Continuous Deployment, Machine Learning, Performance Tuning
Coursera Project Network
Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
- Status: NewStatus: Free Trial
Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines
Apache Spark learners also search
In summary, here are 10 of our most popular apache spark courses
- Microsoft Azure Machine Learning for Data Scientists:Â Microsoft
- MLOps Platforms: Amazon SageMaker and Azure ML:Â Duke University
- Building Batch Pipelines in Cloud Data Fusion:Â Google Cloud
- Accelerating Analytical Queries using the AlloyDB Columnar Engine:Â Google Cloud
- Automation and Project Implementation in Azure Databricks:Â Packt
- Machine Learning Fundamentals for Java Developers:Â Board Infinity
- Microsoft Azure - Data Lake:Â EDUCBA
- Smart Analytics, Machine Learning, and AI on Google Cloud:Â Google Cloud
- Analyze Data in Azure ML Studio:Â Coursera Project Network
- Azure ML: Deploying, Managing, and Experimenting with Models:Â Whizlabs