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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
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    E

    Edureka

    Responsible AI for Everyone

    Skills you'll gain: Responsible AI, Data Ethics, Governance, Governance Risk Management and Compliance, Artificial Intelligence, Accountability, Accountability Frameworks, Risk Analysis, Data Governance, Risk Management, Risk Mitigation, Decision Making, Model Evaluation, Compliance Auditing, Auditing, Python Programming, Pandas (Python Package)

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Intro to NumPy

    Skills you'll gain: NumPy, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Visualization Software, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google

    Automating Real-World Tasks with Python

    Skills you'll gain: Web Services, Email Automation, Scripting, Automation, Python Programming, Restful API, IT Automation, Application Programming Interface (API), JSON, System Monitoring, Debugging

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Beginner · Course · 1 - 3 Months

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    E

    Edureka

    Clean Code and Refactoring Techniques

    Skills you'll gain: Code Review, Object Oriented Design, Maintainability, Software Design Patterns, Software Design, Functional Design, Code Reusability, Continuous Integration, Test Automation, Software Quality (SQA/SQC), Test Driven Development (TDD), Debugging, Software Documentation, Programming Principles, Scalability, Quality Improvement, Python Programming, Continuous Improvement Process, Style Guides, Continuous Monitoring

    Beginner · Course · 1 - 3 Months

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    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Generative Model Architectures, Model Evaluation, Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Machine Learning, Scientific Visualization, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Titanic Survival Prediction Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Model Training, Predictive Modeling, Statistical Machine Learning, Applied Machine Learning, Data Processing, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Machine Learning Methods, Model Evaluation, Classification Algorithms, Data Science, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Packt

    Claude API for Developers - Build Intelligent Applications

    Skills you'll gain: Claude Code, Anthropic Claude, Retrieval-Augmented Generation, LangChain, LLM Application, Prompt Engineering, Tool Calling, AI Orchestration, Embeddings, AI Workflows, Large Language Modeling, AI Integrations, Vector Databases, Agentic Workflows, Application Programming Interface (API), Generative AI Agents, Python Programming, Real Time Data, Context Management, Document Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Quantum computing, Applied Mathematics, Python Programming, Analysis

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    274 reviews

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Predictive Modeling, Data Science, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Plot (Graphics), Data Visualization, Machine Learning Methods, Data Preprocessing, Data Wrangling, Machine Learning, Programming Principles, Data Manipulation, Data Cleansing, Data Transformation, Supervised Learning, Python Programming, Data Science, NumPy

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Analysis, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    192 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Responsible AI for Everyone: Edureka
  • Intro to NumPy: Packt
  • Automating Real-World Tasks with Python: Google
  • Clean Code and Refactoring Techniques: Edureka
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Explainable Machine Learning (XAI): Duke University
  • Titanic Survival Prediction Using Machine Learning: Coursera
  • Claude API for Developers - Build Intelligent Applications: Packt
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Diabetes Prediction With Pyspark MLLIB: Coursera

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