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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Popular Applied Statistics Courses and Certifications


  • T

    The State University of New York

    Practical Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, R (Software), Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Programming, Data Visualization, Statistical Visualization, Statistical Software, Mathematical Modeling, Statistical Modeling, Data Analysis Software, Correlation Analysis, Descriptive Statistics, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Building and Optimizing AI Models

    Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Mastering NLP: Foundations, ML & LLMs

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LangChain, LLM Application, Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Embeddings, Deep Learning, Generative AI, Fine-tuning, Artificial Intelligence, Classification Algorithms, Machine Learning Methods, Data Preprocessing, Applied Machine Learning, Machine Learning, Model Optimization, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Career Development for Multimodal Intelligence

    Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Model Training, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Bioinformatics

    Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Statistical Methods, Applied Machine Learning, Data Analysis Software, Machine Learning Algorithms, Molecular, Cellular, and Microbiology, Markov Model, Biotechnology, Life Sciences, Infectious Diseases, Microbiology, Epidemiology, Statistical Analysis, Precision Medicine, Algorithms, Computational Thinking, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    Universidad de los Andes

    Contenido de las matemáticas de primaria

    Skills you'll gain: Mathematics Education, Arithmetic, Applied Mathematics, Geometry, Systems Of Measurement, General Mathematics, Graphing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Introduction to DevOps

    Skills you'll gain: DevOps, Agile Methodology, Cloud-Native Computing, Devops Tools, Continuous Integration, CI/CD, Test Driven Development (TDD), Agile Software Development, Scrum (Software Development), Continuous Deployment, Software Development Methodologies, Behavior-Driven Development, Cloud Computing Architecture, Continuous Delivery, Performance Metric, Team Performance Management, Accountability, Culture Transformation, Microservices, Organizational Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.2K reviews

    Beginner · Course · 1 - 3 Months

  • N

    Northwestern University

    Fundamentals of Digital Image and Video Processing

    Skills you'll gain: Digital Signal Processing, Image Quality, Image Analysis, Medical Imaging, Telecommunications, Communication Systems, Matlab, Mathematical Modeling, Color Theory, Applied Mathematics, Estimation, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.8K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Advanced Model Architectures & Language AI

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Fine-Tuning and Evaluating Vision AI Models

    Skills you'll gain: Transfer Learning, Image Analysis, Fine-tuning, Computer Vision, Model Evaluation, Model Training, Model Optimization, Verification And Validation, Model Deployment, Performance Metric, Data Pipelines, Quality Assessment, Performance Measurement, Data Quality, Applied Machine Learning, Performance Analysis, Predictive Modeling, Analysis, Statistical Machine Learning, Statistical Modeling

    Intermediate · Course · 3 - 6 Months

  • J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Methods, Statistical Inference, Scientific Methods, Quantitative Research, Epidemiology, Public Health, Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    659 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular applied statistics courses

  • Practical Time Series Analysis: The State University of New York
  • Building and Optimizing AI Models : Coursera
  • Mastering NLP: Foundations, ML & LLMs: Packt
  • Career Development for Multimodal Intelligence: Coursera
  • Bioinformatics: University of California San Diego
  • Contenido de las matemáticas de primaria: Universidad de los Andes
  • Introduction to DevOps: IBM
  • Fundamentals of Digital Image and Video Processing: Northwestern University
  • Advanced Model Architectures & Language AI: Coursera
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud

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