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Data Analyst Courses

Data analyst courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, creating meaningful reports, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings in a clear, impactful way. Additionally, you may explore methods for predictive analytics and data storytelling, enhancing your ability to make data-driven decisions.

Popular Data Analyst Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Python Fundamentals

    Skills you'll gain: Programming Principles, Computer Science, Computer Programming, Data Manipulation, Python Programming, Computational Logic, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    230 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    Human Factors in AI

    Skills you'll gain: Responsible AI, Data Ethics, Experience Design, User Experience Design, Human Centered Design, Human Factors, Decision Intelligence, Information Privacy, Design Thinking, Machine Learning, Ethical Standards And Conduct, Law, Regulation, and Compliance, Automation

    4.7
    Rating, 4.7 out of 5 stars
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    245 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Advanced Business Analytics

    Skills you'll gain: Data Storytelling, Predictive Modeling, Data Presentation, Data Governance, Data Visualization, Predictive Analytics, Model Evaluation, Data Management, Business Analytics, Storytelling, Data Literacy, Analytics, Exploratory Data Analysis, Logistic Regression, Data Analysis, Risk Analysis, Data-Driven Decision-Making, Data Cleansing, Data Visualization Software, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Statistical Modeling, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Simulations, Probability

    4.5
    Rating, 4.5 out of 5 stars
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    98 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    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, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Data Preprocessing, Deep Learning, Python Programming, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
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    379 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of California, Davis

    AI Agents: From Prompts to Multi-Agent Systems

    Skills you'll gain: Prompt Engineering, Generative AI Agents, AI Workflows, Prompt Patterns, Agentic Workflows, Agentic systems, Generative AI, AI literacy, Artificial Intelligence, Responsible AI, Risking, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    205 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, UI Components, Object Oriented Design, Java Programming, Software Design, Debugging, Web Design and Development, Software Engineering, Code Reusability, Hypertext Markup Language (HTML), Computer Programming, Program Development, Event-Driven Programming, Bioinformatics, Encryption, Image Analysis, Javascript, Algorithms, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
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    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data

    4.1
    Rating, 4.1 out of 5 stars
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    234 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Principles of fMRI 2

    Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Correlation Analysis, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Medical Imaging, Regression Analysis, Psychology, Time Series Analysis and Forecasting, Neurology, Statistical Modeling, Statistical Methods, Statistical Inference, Dimensionality Reduction, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    249 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Unit Testing, Model Deployment, Data Manipulation, Test Script Development, Software Testing, Data Import/Export, Applied Machine Learning, Test Automation, Data Wrangling, Python Programming, Code Reusability, Data Processing, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting

    4.2
    Rating, 4.2 out of 5 stars
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    375 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Prompt Engineering Tools, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Generative Model Architectures, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, LLM Application, Recurrent Neural Networks (RNNs)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    62 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Introduction to Python Fundamentals: University of Colorado Boulder
  • Human Factors in AI: Duke University
  • Advanced Business Analytics: University of Colorado Boulder
  • Deep Learning with Keras and Tensorflow: IBM
  • Math behind Moneyball: University of Houston
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • AI Agents: From Prompts to Multi-Agent Systems: University of California, Davis
  • Java Programming and Software Engineering Fundamentals: Duke University
  • DevOps, DataOps, MLOps: Duke University
  • Principles of fMRI 2: Johns Hopkins University

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