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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


  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
    ·
    897 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply R Techniques for Telecom Customer Churn Prediction

    Skills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California, Irvine

    Initiating and Planning Projects

    Skills you'll gain: Project Planning, Project Management, Planning, Work Breakdown Structure, Interpersonal Communications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Mixed · Course · 1 - 3 Months

  • T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Financial Fraud Using Machine Learning Analytics

    Skills you'll gain: Financial Data, Data-Driven Decision-Making, Profit and Loss (P&L) Management, Risk Modeling, Lending and Underwriting, Applied Machine Learning, Financial Systems, Operational Analysis, Risk Analysis, Anomaly Detection, Statistical Machine Learning, Financial Regulation, Financial Industry Regulatory Authorities

    Beginner · Course · 1 - 4 Weeks

  • U

    University of London

    Mathematical Foundations for Computing

    Skills you'll gain: Theoretical Computer Science, Computational Logic, Programming Principles, Computer Science, Algorithms, Computational Thinking, Database Theory, Mathematical Modeling, Data Structures, General Mathematics, Applied Mathematics, Business Mathematics, Advanced Mathematics, Logical Reasoning, Problem Solving

    Beginner · Course · 1 - 4 Weeks

  • S

    SkillUp

    Machine Learning for Healthcare Applications

    Skills you'll gain: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize and Deploy Edge AI Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze Healthcare Data with Confidence

    Skills you'll gain: Statistical Inference, Statistical Analysis, Data Literacy, Probability & Statistics, Estimation, Correlation Analysis

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Epidemiology in Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Data Presentation, Public Health and Disease Prevention, Trend Analysis, Geographic Information Systems, Health Policy, Data Visualization Software, Chronic Diseases, GIS Software, Health Systems, Infectious Diseases, Biostatistics, Risk Analysis, Investigation, Health Care, Health Disparities, Community Health, Data Analysis, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Apply R Techniques for Telecom Customer Churn Prediction: EDUCBA
  • IBM Introduction to Machine Learning: IBM
  • Initiating and Planning Projects: University of California, Irvine
  • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
  • Analyze Financial Fraud Using Machine Learning Analytics: EDUCBA
  • Mathematical Foundations for Computing: University of London
  • Machine Learning for Healthcare Applications: SkillUp
  • Optimize and Deploy Edge AI Models: Coursera

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