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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


  • G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms, Cloud API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    548 reviews

    Advanced · Course · 1 - 3 Months

  • K

    Kennesaw State University

    The Measure Phase for the 6 σ Black Belt

    Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Performance Measurement, Quality Improvement, Continuous Quality Improvement (CQI), Statistics, Probability, Systems Of Measurement, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Mixed · Course · 1 - 3 Months

  • U

    Universidad Nacional Autónoma de México

    Evolución

    Skills you'll gain: Biology, Life Sciences, Course Development, Environment, World History, Cell Biology, European History, Taxonomy, Specimen Collection, Mathematical Modeling, Scientific Methods, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    367 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Trending in AI
    Trending in AI
    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face

    4.6
    Rating, 4.6 out of 5 stars
    ·
    20 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Text Mining, Unstructured Data, Quantitative Research, Data Visualization, Statistical Analysis, Analysis, Social Network Analysis, Data Presentation, Data Analysis, Statistical Methods, Data Mining, Interactive Data Visualization, Analytics, Correlation Analysis, Application Programming Interface (API), R Programming, Regression Analysis, Data Collection, Big Data, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Erasmus University Rotterdam

    Earth Economics

    Skills you'll gain: Economics, Policy, and Social Studies, Economics, Socioeconomics, Sustainable Development, Policy Analysis, Data Analysis, Tax, Environmental Issue, International Relations, Trend Analysis, Investments, Policy Development, Behavioral Economics, Supply And Demand, Data Collection

    4.6
    Rating, 4.6 out of 5 stars
    ·
    90 reviews

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Precalculus: Periodic Functions

    Skills you'll gain: Trigonometry, Systems Of Measurement, Geometry, Mathematical Modeling, Graphing, Algebra, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    108 reviews

    Beginner · Course · 1 - 3 Months

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 3 Months

  • Q

    Queen Mary University of London

    Research Instruments and Research Hypotheses

    Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Collection, Quantitative Research, Research Methodologies, Data Preprocessing, Probability & Statistics, Descriptive Statistics, Data Literacy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI and Climate Change

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Image Analysis, Environmental Monitoring, Convolutional Neural Networks, Artificial Intelligence, Climate Change Mitigation, Artificial Neural Networks, Machine Learning Methods, Deep Learning, Data Processing, Forecasting, Computer Vision, Predictive Modeling, Environmental Science, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    142 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    655 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • The Measure Phase for the 6 σ Black Belt: Kennesaw State University
  • Evolución: Universidad Nacional Autónoma de México
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Social Media Data Analytics: University of Washington
  • Earth Economics: Erasmus University Rotterdam
  • Precalculus: Periodic Functions: Johns Hopkins University
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Deep Learning with PyTorch: IBM
  • Research Instruments and Research Hypotheses: Queen Mary University of London

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