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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: New
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    Edureka

    Introduction to LLMs and Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, Responsible AI, Embeddings, Application Programming Interface (API), Text Mining, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    818 reviews

    Intermediate · Course · 1 - 3 Months

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    A

    AI CERTs

    Prompt Engineering Mastery

    Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, Responsible AI, OpenAI, LLM Application, Generative AI, LangChain, Generative AI Agents, ChatGPT, Vibe coding, Natural Language Processing, Artificial Intelligence, AI Personalization, Debugging, Ideation, Productivity, Code Review, Computer Programming Tools, Ethical Standards And Conduct

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    G

    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, AI Enablement, AI Personalization, LLM Application, Ideation, Solution Design

    4.8
    Rating, 4.8 out of 5 stars
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    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
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    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

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    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

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    C

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    353 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G
    N
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    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Agentic AI Content for Practitioners: Software

    Skills you'll gain: LangChain, Agentic Workflows, CI/CD, LangGraph, AI Orchestration, AI Workflows, Model Deployment, Continuous Integration, DevOps, Continuous Deployment, Generative AI Agents, Application Deployment, AI Enablement, Cloud Deployment, Test Automation, AI Product Strategy, Program Development, Microsoft Copilot, Maintainability, Agentic systems

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to LLMs and Hugging Face: Edureka
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Probabilistic Graphical Models: Stanford University
  • Supervised Machine Learning: Regression: IBM
  • Prompt Engineering Mastery: AI CERTs
  • Use AI as a Creative or Expert Partner: Google
  • Reinforcement Learning: University of Alberta
  • Practical Machine Learning: Johns Hopkins University
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • IBM AI Enterprise Workflow: IBM

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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