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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.


More to explore:

Popular Applied Statistics Courses and Certifications


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Machine Learning Algorithms, Performance Tuning, MLOps (Machine Learning Operations), Artificial Neural Networks

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Systèmes d’Information Géographique - Partie 2

    Skills you'll gain: Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Augmented Reality, Data Visualization Software, Data Mapping, Color Theory, Database Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    43 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Immersify

    Interactive 3D Anatomy & Physiology: A Gamified Experience

    Skills you'll gain: Respiration, Human Musculoskeletal System, Cardiology, Respiratory Care, Pulmonology, Hemodynamics, Clinical Practices, Cell Biology, Physiology, Oxygen Therapy, Anatomy, Endocrinology, Diagnostic Tests, Patient Evaluation, Nephrology, Orthopedics, Pulmonary Function Testing, Cardiac Dysrhythmia, Kinesiology, Interactive Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    68 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Università Bocconi

    A Scientific Approach to Innovation Management

    Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Case Studies, Probability, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    83 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's Guide to Omic Data

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Laboratory Research, Metadata Management, Science and Research, R Programming, Spatial Data Analysis, Scientific Methods, Data Collection, Data Quality, Research, Quantitative Research, Informatics, Biology, Laboratory Techniques, Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of California, Davis

    Continuous Integration

    Skills you'll gain: Continuous Integration, CI/CD, Continuous Delivery, Continuous Deployment, Integration Testing, DevOps, Continuous Monitoring, System Monitoring, Docker (Software), Application Deployment, Security Controls, GitHub, Automation, Version Control

    4
    Rating, 4 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Introduction to Generative AI in Legal

    Skills you'll gain: Legal Technology, Data Ethics, Responsible AI, Legal Strategy, Legal Research, Generative AI, Legal Risk, Case Law, Law, Regulation, and Compliance, Artificial Intelligence, Legal Writing, Data-Driven Decision-Making, Forecasting, Automation, Client Services

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Splunk Inc.

    Splunk Search Expert 103

    Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Big Data, Transaction Processing, Data Science, Business Analytics, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    46 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Introduction to Machine Learning with Python: Arizona State University
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Systèmes d’Information Géographique - Partie 2: École Polytechnique Fédérale de Lausanne
  • Interactive 3D Anatomy & Physiology: A Gamified Experience: Immersify
  • Machine Learning Essentials: University of Pennsylvania
  • A Scientific Approach to Innovation Management: Università Bocconi
  • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
  • Continuous Integration: University of California, Davis
  • Introduction to Generative AI in Legal: Coursera

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