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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


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    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Transfer Learning, Applied Machine Learning, Natural Language Processing, Machine Learning, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Reinforcement Learning, Unsupervised Learning, Logistic Regression, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Edureka

    Developing LLM Applications with LangChain

    Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, OpenAI API, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Machine Learning and AI Applications in Healthcare

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering

    Intermediate · Course · 1 - 4 Weeks

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    Real Madrid Graduate School Universidad Europea

    Futuro de los datos y la tecnología - Echar un vistazo

    Skills you'll gain: Large Language Modeling, Image Analysis, Real Time Data, Computer Vision, Advanced Analytics, AI Enablement, Reinforcement Learning, Data Analysis, Data-Driven Decision-Making, Artificial Intelligence, Analysis, Machine Learning, Automation, Data Presentation, Natural Language Processing, Supervised Learning, Innovation

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Analyze Traffic Sources with Analytics Dimensions

    Skills you'll gain: Google Analytics, Marketing Analytics, Web Analytics, Web Analytics and SEO, Data-Driven Decision-Making, Data Analysis, Analytics, Customer Insights, Analysis, Descriptive Analytics, Trend Analysis, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

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    AI CERTs

    Responsible AI Principles

    Skills you'll gain: Responsible AI, AI Security, Data Ethics, Governance, Data Governance, Law, Regulation, and Compliance, Ethical Standards And Conduct, Compliance Training, Artificial Intelligence, Business Ethics, Compliance Management, Accountability, Regulatory Requirements, Governance Risk Management and Compliance, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Stakeholder Engagement

    Beginner · Course · 1 - 3 Months

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    IBM

    IBM Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Autoencoders, Feature Engineering, Classification Algorithms, Data Cleansing, Keras (Neural Network Library), Statistical Inference, Time Series Analysis and Forecasting, Generative Adversarial Networks (GANs), Data Preprocessing, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Applied Machine Learning, Scikit Learn (Machine Learning Library), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Transform Analytics: Impactful Marketing Insights

    Skills you'll gain: Stakeholder Engagement, Business Metrics, Web Analytics, Business Analytics, Analytics, Key Performance Indicators (KPIs), Data Storytelling, Performance Analysis, Presentations, Stakeholder Communications, Marketing Analytics, Strategic Communication, Marketing Effectiveness

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

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    Arizona State University

    Classification and Planned Experiments

    Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular Big Data courses

  • Introduction to Machine Learning: Duke University
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Developing LLM Applications with LangChain: Edureka
  • Machine Learning and AI Applications in Healthcare: Microsoft
  • Futuro de los datos y la tecnología - Echar un vistazo : Real Madrid Graduate School Universidad Europea
  • Analyze Traffic Sources with Analytics Dimensions: Coursera
  • Responsible AI Principles: AI CERTs
  • IBM Machine Learning: IBM
  • AI for Medicine: DeepLearning.AI
  • Transform Analytics: Impactful Marketing Insights: Coursera

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