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    • Big Data Analytics

    Big Data Analytics Courses Online

    Master big data analytics for processing and analyzing large datasets. Learn to use tools like Hadoop, Spark, and NoSQL databases.

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    Explore the Big Data Analytics Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Generative AI for Workflow Automation

      Skills you'll gain: Generative AI Agents, Business Process Automation, Generative AI, Automation, OpenAI, Multimodal Prompts, Slack (Software), AI Personalization, Human Resources, Performance Metric, Key Performance Indicators (KPIs), Google Sheets, Application Programming Interface (API)

      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
      ·
      56 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Solutions, Cloud Computing, Generative AI, Responsible AI, LLM Application, Big Data, Data Analysis, Data Science, Natural Language Processing, Market Opportunities, Business

      4.7
      Rating, 4.7 out of 5 stars
      ·
      104K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Generative AI Tools for Modern Software Engineering

      Skills you'll gain: Performance Tuning, Software Development Tools, Code Review, Collaborative Software, Integrated Development Environments, Software Visualization, Generative AI, Software Engineering, Software Technical Review, Application Security, Software Development, DevSecOps, Prompt Engineering, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Debugging, Software Development Life Cycle, Automation, Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Introduction to Recommender Systems: Non-Personalized and Content-Based

      Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java

      4.4
      Rating, 4.4 out of 5 stars
      ·
      654 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Alteryx for Beginners

      Skills you'll gain: Alteryx, Spatial Analysis, Data Cleansing, Data Import/Export, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Processing, Data Integration, Data Transformation, Data Presentation, Spreadsheet Software, Data Mapping, Data Analysis, Microsoft Excel, Data Visualization Software, Excel Formulas

      4.3
      Rating, 4.3 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Starweaver

      GenAI Foundations and Prompt Engineering

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI Agents, Enterprise Application Management, ChatGPT, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, LLM Application, Large Language Modeling, Systems Architecture, Application Design, Business Metrics, Program Evaluation, Process Optimization, Performance Tuning, Application Programming Interface (API), Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 2

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Distributed Computing, Unsupervised Learning, Network Model, Software Visualization, Performance Tuning, Scientific Visualization, NumPy, Object Oriented Programming (OOP), Network Architecture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      347 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced R Programming

      Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Integrated Development Environments, Programming Principles, Data Manipulation, Data Structures, Software Documentation, Software Design Patterns, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      574 reviews

      Intermediate · Course · 1 - 3 Months

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    1…155156157…735

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

    • Generative AI for Workflow Automation: Edureka
    • DataOps Methodology : IBM
    • Key Technologies for Business: IBM
    • Generative AI Tools for Modern Software Engineering: Edureka
    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
    • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
    • Alteryx for Beginners: Packt
    • GenAI Foundations and Prompt Engineering : Starweaver
    • Statistical Learning for Engineering Part 2: Northeastern University
    • TensorFlow: Advanced Techniques: DeepLearning.AI

    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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