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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


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    Coursera

    Gradient to Production: MLOps & Model Serving

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

    4.9
    Rating, 4.9 out of 5 stars
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    930 reviews

    Intermediate · Course · 1 - 3 Months

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    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    613 reviews

    Advanced · Course · 1 - 3 Months

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    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

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    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Building RAG Systems with Open Models

    Skills you'll gain: Retrieval-Augmented Generation, Generative AI, LangChain, Software Design Patterns, Vector Databases, LLM Application, Embeddings, Prompt Engineering, Large Language Modeling, Model Evaluation, Text Mining, Scalability, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    Yale University

    Introduction to Psychology

    Skills you'll gain: Psychology, Human Development, Clinical Psychology, Mental Health, Psychiatry, Human Learning, Child Development, Neurology, Culture, Social Sciences, Critical Thinking, Scientific Methods, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
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    33K reviews

    Beginner · Course · 1 - 3 Months

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    Packt

    Generative AI & AWS AI Practitioner Certification

    Skills you'll gain: Responsible AI, Amazon Bedrock, Generative AI, AWS SageMaker, Large Language Modeling, Amazon Web Services, Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Artificial Intelligence, MLOps (Machine Learning Operations), Unsupervised Learning, Transfer Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

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    Scrimba

    Build AI Apps with ChatGPT, Dall-E, and GPT-4

    Skills you'll gain: Prompt Engineering, OpenAI API, Application Deployment, ChatGPT, AI Security, Serverless Computing, Cloud Applications, Model Deployment, LLM Application, Generative AI, Web Applications, Artificial Intelligence, Web Development Tools, Real Time Data

    4.7
    Rating, 4.7 out of 5 stars
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    1.6K reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
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    1.4K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Gradient to Production: MLOps & Model Serving: Coursera
  • Experimentation for Improvement: McMaster University
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • The Nuts and Bolts of Machine Learning: Google
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • AI Engineer Associate: Packt
  • Building RAG Systems with Open Models: Coursera
  • Introduction to Psychology : Yale University
  • Generative AI & AWS AI Practitioner Certification: Packt
  • Build AI Apps with ChatGPT, Dall-E, and GPT-4: Scrimba

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