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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


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    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Risk Modeling, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Test Planning, Test Engineering, Applied Machine Learning, Research Design, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

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    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    179 reviews

    Intermediate · Course · 3 - 6 Months

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    Google Cloud

    Google Cloud Digital Leader Training

    Skills you'll gain: Cloud Management, Serverless Computing, Google Cloud Platform, Digital Transformation, Data Governance, Cloud Services, Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Cloud Infrastructure, Data Strategy, Application Programming Interface (API), Cloud Solutions, Real Time Data, Business Transformation, Data Management, Hybrid Cloud Computing, Data Warehousing, AI Enablement, Artificial Intelligence, Data Security

    4.8
    Rating, 4.8 out of 5 stars
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    4.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Coursera

    Strategize, Roadmap, and Mitigate AI Projects

    Skills you'll gain: Applied Machine Learning, Case Studies, Fraud detection, Project Design, Project Risk Management, Ethical Standards And Conduct, Law, Regulation, and Compliance, Scalability, Content Strategy, Quality Assessment, Keyword Research, Search Engine Optimization, Content Creation

    Intermediate · Course · 1 - 4 Weeks

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    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    303 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Analyze Agent Performance: Build and Test

    Skills you'll gain: Statistical Hypothesis Testing, AI Workflows, LangChain, Generative AI Agents, CrewAI, Statistical Methods, Statistical Analysis, Data Transformation, Agentic systems, Statistical Inference, Business Intelligence, Performance Testing, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Performance Metric, Descriptive Analytics, Business Metrics, Data Analysis, Correlation Analysis, Event Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    1K reviews

    Beginner · Specialization · 3 - 6 Months

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    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    591 reviews

    Advanced · Course · 1 - 3 Months

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    The Hong Kong University of Science and Technology

    Vector Calculus for Engineers

    Skills you'll gain: Integral Calculus, Engineering Calculations, Calculus, Engineering Analysis, electromagnetics, Engineering, Geometry, Advanced Mathematics, Mechanical Engineering, Applied Mathematics, Mechanics, Electrical Engineering, Physics, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

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    University of Michigan

    Capstone: Retrieving, Processing, and Visualizing Data with Python

    Skills you'll gain: Data Processing, Data Visualization, Interactive Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Email Automation

    4.7
    Rating, 4.7 out of 5 stars
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    14K reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Advanced SAS Programming, Macros & Reporting

    Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Model Evaluation, Data Analysis, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance

    Beginner · Specialization · 3 - 6 Months

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    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
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    680 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to applied statistics

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

  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
  • Google Cloud Digital Leader Training: Google Cloud
  • Strategize, Roadmap, and Mitigate AI Projects: Coursera
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Analyze Agent Performance: Build and Test: Coursera
  • AI Product Management: Duke University
  • The Nuts and Bolts of Machine Learning: Google
  • Vector Calculus for Engineers: The Hong Kong University of Science and Technology
  • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan

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