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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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    SAS

    SAS Visual Business Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Data Visualization Software, Spatial Analysis, Dashboard, Analysis, Analytics, Data Visualization, Time Series Analysis and Forecasting, Business Analytics, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics, Business Reporting

    4.7
    Rating, 4.7 out of 5 stars
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    1.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Sports Medicine, Correlation Analysis, Data Preprocessing, Predictive Modeling, Matplotlib, Applied Machine Learning, Statistical Modeling, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    275 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Board Infinity

    Google Analytics Hacks: Boost Your Marketing Performance

    Skills you'll gain: Customer Analysis, Campaign Management, Digital Advertising

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Duke University

    Introduction to Machine Learning

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

    LLM Engineer’s Handbook

    Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, Hugging Face, MLOps (Machine Learning Operations), OpenAI, Prompt Engineering, Model Deployment, AWS SageMaker, Extract, Transform, Load, Embeddings, Data Pipelines, CI/CD, Vector Databases, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: New
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    LearnQuest

    Applied No-Code AI for Business Processes

    Skills you'll gain: Responsible AI, No-Code Development, AI Enablement, Business Process Automation, Business Process, Data Management, Risk Mitigation, Return On Investment, Process Design, Key Performance Indicators (KPIs), Business Software, Business Transformation, Automation, Project Implementation, Performance Measurement, Data Cleansing, Project Management, Business Metrics, Data Storytelling, Dashboard

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    SAS

    Getting Started with SAS Visual Analytics

    Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Data Preprocessing, Business Analysis, Business Reporting, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
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    889 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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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, Statistical Machine Learning, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Microsoft

    Deploy and Maintain Power BI Assets and Capstone project

    Skills you'll gain: Power BI, Dashboard, SQL, Microsoft SQL Servers, Data Security, Data Analysis, Data Visualization Software, Data Modeling, Data Management, Role-Based Access Control (RBAC)

    4.4
    Rating, 4.4 out of 5 stars
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    290 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    837 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • SAS Visual Business Analytics: SAS
  • Sports Performance Analytics: University of Michigan
  • Google Analytics Hacks: Boost Your Marketing Performance: Board Infinity
  • Introduction to Machine Learning: Duke University
  • LLM Engineer’s Handbook: Packt
  • Applied No-Code AI for Business Processes: LearnQuest
  • Getting Started with SAS Visual Analytics : SAS
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • AI for Medicine: DeepLearning.AI
  • Deploy and Maintain Power BI Assets and Capstone project: Microsoft

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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