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Big Data Courses

Big Data courses can help you learn data analysis, data visualization, statistical modeling, and data mining techniques. You can build skills in interpreting large datasets, designing data-driven strategies, and utilizing machine learning algorithms. Many courses introduce tools like Hadoop, Spark, and Tableau, that support processing vast amounts of information and presenting insights effectively. Additionally, you may explore topics such as data warehousing, predictive analytics, and the ethical implications of data usage.

Popular Big Data Courses and Certifications


  • Status: Free Trial
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    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam en Español

    Skills you'll gain: Data Processing, Systems Design, Data Pipelines, Data Infrastructure, Google Cloud Platform, Quality Assurance, Data Modeling, Data Compilation, Statistical Reporting, Interactive Data Visualization, MLOps (Machine Learning Operations), Model Deployment, Data Quality, Database Development, Applied Machine Learning, Data Maintenance, Cloud Security, Machine Learning

    Advanced · Course · 1 - 3 Months

  • Status: Preview
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    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Applied Machine Learning, Google Cloud Platform, Data Infrastructure, Analytics, Systems Design, Data Processing, Data Pipelines, Data Architecture, Data Storage Technologies, Big Data, Statistical Reporting, Cloud Engineering, Data Visualization, Cloud Security, Cloud Services

    Advanced · Course · 1 - 3 Months

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    Google Cloud

    Migrating MySQL User Data When Running Database Migration Service Jobs

    Skills you'll gain: MySQL, Data Migration, Database Administration, Database Software, Stored Procedure, User Provisioning, Data Validation

    Advanced · Project · Less Than 2 Hours

  • Status: Free Trial
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    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Model Deployment, Data Pipelines, Google Cloud Platform, Applied Machine Learning, Analytics, Database Development, Data Infrastructure, Model Training, Data Architecture, Data Analysis, Security Controls, Machine Learning, Data Modeling, Cloud Security, Data Visualization, Interactive Data Visualization, Data Storage Technologies

    4.7
    Rating, 4.7 out of 5 stars
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    14 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
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    Google Cloud

    Serverless Data Processing with Dataflow: Pipelines - 日本語版

    Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, Business Logic, Performance Tuning, Pandas (Python Package), Data Transformation, Development Environment, Data Import/Export, Program Development, Google Cloud Platform

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Data Engineering, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.1
    Rating, 4.1 out of 5 stars
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    638 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Google

    Foundations of Business Intelligence

    Skills you'll gain: Stakeholder Engagement, Business Intelligence, Stakeholder Communications, Data-Driven Decision-Making, Dashboard, Real Time Data, Data Integration, Data Modeling, Data Compilation, Data Analysis, Business Metrics, Plan Execution, Business Process Improvement, Business Process, Project Implementation, Continuous Monitoring

    4.8
    Rating, 4.8 out of 5 stars
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    2.2K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    234 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    AWS GenAI: RAG, AI Agents and Responsible AI

    Skills you'll gain: Prompt Engineering, Responsible AI, Amazon Bedrock, Retrieval-Augmented Generation, Multimodal Prompts, Generative AI, AWS SageMaker, Generative AI Agents, LLM Application, Vector Databases, Amazon Web Services, Large Language Modeling, Agentic Workflows, Human Centered Design, Agentic systems, Embeddings, Data Ethics, Data Governance, Natural Language Processing, Benchmarking

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Model Training, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    642 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
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    Packt

    Practical Machine Learning on Databricks

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Cloud Deployment, Feature Engineering, Apache Spark, Model Training, AI Workflows, Machine Learning Software, Data Lakes, CI/CD, Model Evaluation, Applied Machine Learning, Data Store, Machine Learning, Development Environment, Statistical Machine Learning, Data Science, Machine Learning Algorithms, Python Programming

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Advanced · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular big data courses

  • Preparing for the Google Cloud Professional Data Engineer Exam en Español: Google Cloud
  • Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro: Google Cloud
  • Migrating MySQL User Data When Running Database Migration Service Jobs: Google Cloud
  • Preparing for the Google Cloud Professional Data Engineer Exam 日本語版: Google Cloud
  • Serverless Data Processing with Dataflow: Pipelines - 日本語版: Google Cloud
  • MLOps | Machine Learning Operations: Duke University
  • Foundations of Business Intelligence: Google
  • DevOps, DataOps, MLOps: Duke University
  • AWS GenAI: RAG, AI Agents and Responsible AI: KodeKloud
  • The Nuts and Bolts of Machine Learning: Google

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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