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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
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    168 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    DataOps Methodology

    Skills you'll gain: Data Governance, Data Strategy, Data Management, Data Modeling, Data Quality, Data Literacy, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Taxonomy, Business Priorities, Data Pipelines, Sprint Retrospectives, Process Improvement, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI and Disaster Management

    Skills you'll gain: Disaster Recovery, Image Analysis, Data Ethics, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Artificial Intelligence, Geospatial Mapping, Computer Vision, Spatial Data Analysis, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Data Preprocessing, Exploratory Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    318 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to HTML5

    Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content Accessibility Guidelines, Web Design and Development, Usability, Semantic Web, Cascading Style Sheets (CSS), Cloud Hosting, Web Servers, Data Validation, File Transfer Protocol (FTP)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fractal Analytics

    Model Context Protocol (MCP) Mastery

    Skills you'll gain: Model Context Protocol, AI Security, Threat Modeling, AI Workflows, Secure Coding, LLM Application, Enterprise Architecture, Generative AI Agents, Security Controls, Interoperability, Agentic systems, Generative AI

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face

    4.6
    Rating, 4.6 out of 5 stars
    ·
    20 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Embeddings, Feature Engineering, Data Preprocessing, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Building R Packages

    Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, R Programming, Knitr, Continuous Integration, Development Testing, Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms, Cloud API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    548 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    44 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Principles of fMRI 2

    Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analytical Skills, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Neurology, Statistical Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    249 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • DataOps Methodology : IBM
  • AI and Disaster Management: DeepLearning.AI
  • Introduction to HTML5: University of Michigan
  • Model Context Protocol (MCP) Mastery: Fractal Analytics
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Recommendation Systems on Google Cloud: Google Cloud
  • Building R Packages: Johns Hopkins University
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Computer Vision Fundamentals with Google Cloud: Google Cloud

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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