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Data Analysis Courses for Beginners

Beginner data analysis courses can help you learn data collection techniques, basic statistical concepts, data visualization, and interpretation of results. You can build skills in using spreadsheets for data manipulation, creating charts for visual representation, and applying descriptive statistics to summarize findings. Many courses introduce tools like Excel, Google Sheets, and data visualization software such as Tableau, showing you how to effectively analyze and present data to support decision-making.

Popular Beginner Data Analysis Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    E

    Edureka

    Fine-Tuning Techniques for AI Models

    Skills you'll gain: Model Training, Prompt Engineering, Hugging Face, Large Language Modeling, Supervised Learning, Generative AI, Data Cleansing, Deep Learning, Natural Language Processing, Artificial Intelligence, Machine Learning, Data Quality, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algorithms for DNA Sequencing

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Structures, Python Programming, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    936 reviews

    Mixed · Course · 1 - 4 Weeks

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

    Edureka

    Transfer Learning Foundations for AI Models

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Generative Model Architectures, Large Language Modeling, Machine Learning Methods, Computer Vision, Data Science, Artificial Intelligence, Applied Machine Learning, NumPy, Pandas (Python Package), Python Programming, Natural Language Processing, Supervised Learning, Feature Engineering, Machine Learning, Predictive Modeling, Exploratory Data Analysis, Data Analysis, Data Visualization

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python for Everybody

    Skills you'll gain: Database Design, Data Processing, Debugging, Web Scraping, File I/O, Data Store, Data Visualization, Database Software, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Data Presentation, Data Structures, Programming Principles, Python Programming, Program Development

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    281K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    B

    Board Infinity

    AI App Development: Streamlit, OpenAI API & RAG Projects

    Skills you'll gain: Tool Calling, OpenAI, AI Workflows, LLM Application, AI Integrations, Agentic Workflows, Retrieval-Augmented Generation, AI Orchestration, Generative AI Agents, Multimodal Prompts, Interactive Data Visualization, Prompt Engineering, Application Deployment, Cloud Deployment, Large Language Modeling, Image Analysis, Embeddings, Dashboard Creation, Python Programming, JSON

    Intermediate · Course · 1 - 4 Weeks

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Responsible AI, Computer Vision, LangChain, Generative AI, Responsive Web Design, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    83K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
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    Board Infinity

    ML Model Deployment: Build a Production API with FastAPI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Application Deployment, Cloud Deployment, Docker (Software), Containerization, Continuous Deployment, DevOps, API Testing, CI/CD, Kubernetes, Model Evaluation, Test Tools, Applied Machine Learning, Data Validation, Application Programming Interface (API), API Design, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Job Skills
    Job Skills
    I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Unit Testing, Software Development Life Cycle, Open Web Application Security Project (OWASP), Object-Relational Mapping, OpenShift, Istio, Kubernetes, Cloud-Native Computing, Linux Commands, Software Architecture, Application Deployment, Django (Web Framework), Bash (Scripting Language), Shell Script, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Debugging Machine Learning Models with Python

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, PyTorch (Machine Learning Library), Responsible AI, Debugging, Model Deployment, Model Training, Model Optimization, Deep Learning, Test Tools, Applied Machine Learning, Testability, Machine Learning Methods, Machine Learning, Data Preprocessing, Verification And Validation, Python Programming, AI Security, Test Driven Development (TDD), AI Enablement

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    384 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
    Free Trial
    M

    Madecraft

    Advanced AI: Techniques, Applications, and Ethics

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, AI literacy, Large Language Modeling, Natural Language Processing, Model Training, Machine Learning, Model Evaluation, Decision Intelligence, Hugging Face, Machine Learning Methods, Generative AI, LLM Application, Bayesian Network, Human Centered Design, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Bestseller
    Bestseller
    I

    IBM

    Applied Software Engineering Fundamentals

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

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

    Beginner · Specialization · 3 - 6 Months

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

  • Fine-Tuning Techniques for AI Models: Edureka
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Transfer Learning Foundations for AI Models: Edureka
  • Python for Everybody: University of Michigan
  • AI App Development: Streamlit, OpenAI API & RAG Projects: Board Infinity
  • IBM AI Developer: IBM
  • ML Model Deployment: Build a Production API with FastAPI: Board Infinity
  • IBM Back-End Development: IBM
  • Debugging Machine Learning Models with Python: Packt
  • IBM AI Enterprise Workflow: IBM

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