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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


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Boost Engagement: Optimize AI Content Performance

    Skills you'll gain: Content Performance Analysis, Social Media Marketing, Content Development and Management, Content Creation, Web Analytics, Social Media Management, Content Strategy, AI Personalization, Web Analytics and SEO, Market Analysis, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning Fundamentals for Java Developers

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Fundação Instituto de Administração

    Pesquisa de Mercado com Métodos Quantitativos

    Skills you'll gain: Quantitative Research, Survey Creation, Sampling (Statistics), Business Research, Data Collection, Market Research, Data Analysis, Research Methodologies, Statistical Analysis, Data Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    I

    Institut Mines-Télécom

    Traitement d'images : analyse fréquentielle et multi-échelle

    Skills you'll gain: Image Analysis, Digital Signal Processing, Computer Vision, NumPy, Numerical Analysis, Python Programming, Applied Mathematics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Aligning Business Strategy for AI Integration

    Skills you'll gain: Competitive Analysis, AI Enablement, Machine Learning, Applied Machine Learning, Business Strategy, Data Ethics, Business Intelligence, Business Ethics, Organizational Strategy, Strategic Thinking, Market Analysis, Artificial Intelligence, Value Propositions, Analytics, Risk Analysis, Strategic Decision-Making, Resource Management

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Compare Models with Experiments in Azure ML Studio

    Skills you'll gain: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Améliorez les réseaux neuronaux profonds

    Skills you'll gain: Deep Learning, Tensorflow, Model Evaluation, Applied Machine Learning, Artificial Neural Networks, Machine Learning Methods, Performance Tuning, Machine Learning, Data Validation, Debugging, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Lausanne

    HEALTHY URBAN SYSTEMS - PART 1

    Skills you'll gain: Health Policy, Geographic Information Systems, Public Health, Case Studies, Health Systems, Spatial Analysis, Systems Thinking, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Management, Emerging Technologies

    Beginner · Course · 1 - 3 Months

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

  • Boost Engagement: Optimize AI Content Performance: Coursera
  • Machine Learning Fundamentals for Java Developers: Board Infinity
  • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
  • Java in Machine Learning: Board Infinity
  • Pesquisa de Mercado com Métodos Quantitativos: Fundação Instituto de Administração
  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
  • Aligning Business Strategy for AI Integration: Northeastern University
  • Compare Models with Experiments in Azure ML Studio: Coursera
  • Améliorez les réseaux neuronaux profonds: DeepLearning.AI

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