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Data Courses

Data courses can help you learn data analysis, statistical methods, data visualization, and machine learning principles. You can build skills in interpreting datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools such as Python, R, SQL, and Tableau, that support analyzing data and presenting findings in a clear, impactful way.


Popular Data Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Software Design, Flask (Web Framework), Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Python Programming, NumPy, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of London

    Probability and Statistics: To p or not to p?

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

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

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    Building deterministic MCP Agents

    Skills you'll gain: Model Context Protocol, Claude Code, Kaizen Methodology, Code Coverage, Verification And Validation, Testability, Quality Assurance, Agentic systems, Software Quality (SQA/SQC), Test Automation, Development Testing, Maintainability, Software Testing, Generative AI Agents, Agentic Workflows, Artificial Intelligence, Large Language Modeling

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Build & Evaluate NLP Transformer Pipelines

    Skills you'll gain: Token Optimization, Large Language Modeling, LLM Application, Generative Model Architectures, Applied Machine Learning, Performance Metric, Quality Assessment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Full Stack Software Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, CI/CD, Server Side, Cloud-Native Computing, Istio, Software Architecture, React Redux, Cloud Computing Architecture, Application Deployment, Restful API, Responsive Web Design, Node.JS, Django (Web Framework), Git (Version Control System), HTML and CSS, Cloud Computing, Data Ethics, Python Programming, Software Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Data Cleansing, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computational Social Science

    Skills you'll gain: Network Analysis, Social Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Data Cleansing, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Social Media Analytics, Simulations, Text Mining, Big Data, Applied Machine Learning, Systems Thinking, Data Preprocessing, Data Science, Agentic systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Generative AI: Fine-Tuning LLMs and Diffusion Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Token Optimization, Hugging Face, Model Optimization, Model Training, Model Evaluation, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Deploying AI Agents: LLMs, LangGraph, and Production APIs

    Skills you'll gain: LangGraph, AI Workflows, AI Orchestration, LLM Application, LangChain, CrewAI, Large Language Modeling, Agentic Workflows, Agentic systems, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Context Management, Vector Databases, Memory Management, Performance Testing, Data Validation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning Operations (MLOps)

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Serverless Computing, Google Cloud Platform, Cloud Deployment, AI Integrations, Docker (Software), Cloud Platforms, Cloud Computing, Containerization, Application Deployment, Amazon Web Services, Restful API, DevOps, CI/CD, Microsoft Azure, Devops Tools, Continuous Integration, API Design

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Fundamentals of Reinforcement Learning: University of Alberta
  • Applied Software Engineering Fundamentals: IBM
  • Probability and Statistics: To p or not to p?: University of London
  • Building deterministic MCP Agents: Pragmatic AI Labs
  • Build & Evaluate NLP Transformer Pipelines: Coursera
  • IBM Full Stack Software Developer: IBM
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Computational Social Science: University of California, Davis
  • Generative AI: Fine-Tuning LLMs and Diffusion Models: Board Infinity
  • Deploying AI Agents: LLMs, LangGraph, and Production APIs: Board Infinity

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