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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
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Generate Visuals for A/B Testing Success

    Skills you'll gain: Prompt Engineering, Generative AI, A/B Testing, Generative AI Agents, Content Creation, Branding, Text Mining

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Minnesota

    Interprofessional Healthcare Informatics

    Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Clinical Informatics, Electronic Medical Record, Health Care, Health Information Management, Community Health, Healthcare Ethics, Dental Informatics, Public Health, Data Ethics, Geospatial Information and Technology, Data Visualization, Graph Theory

    4.4
    Rating, 4.4 out of 5 stars
    ·
    314 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    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, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Statistical Methods, Information Architecture, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Digital Marketing & E-commerce

    Skills you'll gain: Data Storytelling, Media Planning, Social Media Marketing, Google Ads, Email Marketing, Social Media Strategy, Order Fulfillment, Social Media Management, Online Advertising, Search Engine Optimization, Performance Measurement, Spreadsheet Software, A/B Testing, Client Services, Campaign Management, E-Commerce, Loyalty Programs, Marketing, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    47K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Agentic AI Content for Practitioners (Teams: Sales)

    Skills you'll gain: AI Personalization, Agentic systems, Competitive Intelligence, Sales Management, Sales Strategy, Sales, AI Enablement, Customer Analysis, Customer Relationship Management, Sales Presentations, Real Time Data, Automation, Proposal Development, Case Studies

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Disaster Recovery, Google Cloud Platform, Load Balancing, Cloud Infrastructure, Google App Engine, Business Continuity, Kubernetes, Identity and Access Management, Cloud Computing Architecture, Managed Services, Infrastructure As A Service (IaaS), Virtual Networking, Data Storage, Site Reliability Engineering, Cloud-Native Computing, Cloud Computing, Cloud Applications, Big Data, Containerization, Cloud Services

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Generate Visuals for A/B Testing Success: Coursera
  • Interprofessional Healthcare Informatics : University of Minnesota
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Probabilistic Graphical Models: Stanford University
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Computational Neuroscience: University of Washington
  • Google Digital Marketing & E-commerce: Google
  • Practical Machine Learning: Johns Hopkins University
  • Machine Learning for Absolute Beginners - Level 1: Packt
  • Agentic AI Content for Practitioners (Teams: Sales): Coursera

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