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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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    Coursera

    Predictive Models for Financial Risk

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Data Preprocessing, Data Ethics, Model Evaluation, Model Training, Business Reporting, Responsible AI, Performance Reporting, Business Ethics, Business Communication

    Intermediate · Course · 1 - 4 Weeks

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

    IBM

    IBM Relational Database Administrator with GenAI

    Skills you'll gain: Extract, Transform, Load, Database Administration, Data Warehousing, Web Scraping, Data Pipelines, Database Architecture and Administration, Data Engineering, Database Design, Database Management, Relational Databases, Linux Commands, SQL, Apache Kafka, Bash (Scripting Language), Apache Airflow, Shell Script, IBM DB2, Generative AI, Programming Principles, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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    Edureka

    Neural Networks and Computer Vision Foundations

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science

    Beginner · Course · 1 - 4 Weeks

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

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Model Training, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
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    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, Statistical Software, Probability, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
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    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Whizlabs

    Google Cloud SQL: Design, Deploy & Optimize Databases

    Skills you'll gain: Database Administration, Database Management, Relational Databases, SQL, Google Cloud Platform, Operational Databases, Database Design, Database Architecture and Administration, MySQL, Database Management Systems, System Configuration, Data Migration, Cloud Deployment, Database Software, Network Administration, Data Maintenance, Security Controls, Data Import/Export, Data Storage, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    John Wiley & Sons

    Advanced Machine Learning, Neural Networks, and NLP

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Image Analysis, Statistical Machine Learning, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Text Mining, Decision Tree Learning, Advanced Analytics, Convolutional Neural Networks, Model Optimization, Data Science, Data Processing, Logistic Regression

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    LLM Engineering That Works: Prompting, Tuning, and Retrieval

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Optimization, Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Model Training, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Embedded Software, Model Training, Machine Learning Methods, Embedded Systems, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Applied Machine Learning, Responsible AI, Predictive Modeling, Artificial Intelligence, Model Optimization, AI literacy, AI Product Strategy, Prototyping, Product Development

    4.8
    Rating, 4.8 out of 5 stars
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    887 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Deploying and Maintaining Production AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Dashboard Creation, Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, Model Training, Responsible AI, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Discover the Art of Prompting

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Large Language Modeling, AI literacy, LLM Application, Content Creation

    4.8
    Rating, 4.8 out of 5 stars
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    2.2K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Predictive Models for Financial Risk: Coursera
  • IBM Relational Database Administrator with GenAI: IBM
  • Neural Networks and Computer Vision Foundations: Edureka
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Bayesian Statistics: Duke University
  • Google Cloud SQL: Design, Deploy & Optimize Databases: Whizlabs
  • Advanced Machine Learning, Neural Networks, and NLP: John Wiley & Sons
  • LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
  • Edge AI for Microcontrollers: Edge Impulse
  • Deploying and Maintaining Production AI Systems: Coursera

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