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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


  • I

    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, AI Security, Social Impact, Information Privacy, Accountability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    311 reviews

    Beginner · Course · 1 - 4 Weeks

  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    378 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    826 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Microsoft 365 Fundamentals

    Skills you'll gain: Multimedia, Microsoft PowerPoint, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Microsoft Office, Productivity Software, Collaborative Software, Data Import/Export, Microsoft Windows, Editing, Document Management, Technical Documentation, Writing, Data Entry, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    456 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft Azure Developer Associate (AZ-204) Exam Prep

    Skills you'll gain: Cloud Deployment, Cloud Development, Microsoft Azure, Cloud Storage, Data Storage, Serverless Computing, Software Development, Cloud Security, Virtual Machines, Data Storage Technologies, Continuous Deployment, Development Environment, Cloud Management, Application Deployment, Cloud Applications, Virtualization and Virtual Machines, Data Security, Microsoft Power Automate/Flow, Event-Driven Programming, C# (Programming Language)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    294 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • 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

  • I

    IBM

    IBM Generative AI for Cybersecurity Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Anomaly Detection, AI Personalization, Vulnerability Management, Artificial Intelligence, Incident Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling

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

    Beginner · Course · 1 - 3 Months

  • U

    University of Michigan

    Responsible Generative AI

    Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Ethics, Compliance Management, Consumer Behaviour, AI Enablement, Social Impact, Business Risk Management, Business Operations, AI Product Strategy, Artificial Intelligence, Risk Analysis, Automation, Stakeholder Management, Operations, Human Resources, Leadership and Management, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    339 reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    IBM Product Owner

    Skills you'll gain: AI Product Strategy, User Story, Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Scrum (Software Development), Stakeholder Communications, Agile Methodology, Kanban Principles, Responsible AI, Generative AI, Product Roadmaps, Virtual Teams, Information Technology, Agile Project Management, Computer Hardware, ChatGPT, Stakeholder Management, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • E

    ESSEC Business School

    Case studies in business analytics with ACCENTURE

    Skills you'll gain: Case Studies, Digital Transformation, Advanced Analytics, Business Analytics, Analytics, Business Analysis, Data Analysis, Value Propositions, Consultative Approaches, Business Transformation

    3.7
    Rating, 3.7 out of 5 stars
    ·
    210 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Generative AI: Impact, Considerations, and Ethical Issues: IBM
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Microsoft 365 Fundamentals: Microsoft
  • Supervised Machine Learning: Classification: IBM
  • Microsoft Azure Developer Associate (AZ-204) Exam Prep: Microsoft
  • Principles of fMRI 2: Johns Hopkins University
  • IBM Generative AI for Cybersecurity Professionals: IBM
  • Probability and Statistics: To p or not to p?: University of London
  • Responsible Generative AI: University of Michigan

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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