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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


  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    378 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Georgia Institute of Technology

    Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

    Skills you'll gain: Mechanics, Torque (Physics), Engineering Analysis, Differential Equations, Engineering, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    310 reviews

    Mixed · Course · 1 - 3 Months

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow

    4.5
    Rating, 4.5 out of 5 stars
    ·
    330 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Logistic Regression in R for Public Health

    Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, Model Evaluation, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Probability & Statistics, Data Preprocessing, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    368 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Virginia

    Managing an Agile Team

    Skills you'll gain: Agile Software Development, Agile Methodology, Agile Project Management, Team Performance Management, Team Management, Team Building, Team Leadership, Sprint Retrospectives, Backlogs, Kanban Principles, Sales Presentation, Innovation, Lean Methodologies, Process Improvement, Selling Techniques, Prioritization, Discussion Facilitation, Goal Setting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    COVID19 Data Analysis Using Python

    Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Algebra and Differential Calculus for Data Science

    Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    263 reviews

    Intermediate · Course · 1 - 3 Months

  • L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    391 reviews

    Intermediate · Course · 1 - 3 Months

  • W

    Wesleyan University

    Abnormal Psychology

    Skills you'll gain: Motivational Interviewing, Psychological Evaluations, Cognitive Behavioral Therapy, Mental Health Diseases and Disorders, Mental Health Therapies, Behavioral Health, Mental and Behavioral Health, Psychiatry, Psychotherapy, Clinical Psychology, Mental Health, Cultural Diversity, Psychiatric Assessments, Psychology, Experimentation, Health Education, Interpersonal Communications, Culture, Clinical Assessment, Goal Setting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    744 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    Imperial College London

    Survival Analysis in R for Public Health

    Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Logistic Regression, Probability & Statistics, Descriptive Statistics, Model Evaluation, Public Health

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Business Analytics for Decision Making

    Skills you'll gain: Business Analytics, Risk Analysis, Decision Making, Predictive Analytics, Simulation and Simulation Software, Business Modeling, Data Analysis, Process Optimization, Market Analysis, Unsupervised Learning, Microsoft Excel, Exploratory Data Analysis, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Analytics, Correlation Analysis, Predictive Modeling, Supervised Learning, Analysis, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    589 reviews

    Advanced · Course · 1 - 3 Months

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

  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion: Georgia Institute of Technology
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Logistic Regression in R for Public Health: Imperial College London
  • Managing an Agile Team: University of Virginia
  • COVID19 Data Analysis Using Python: Coursera
  • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Abnormal Psychology: Wesleyan University
  • Survival Analysis in R for Public Health: Imperial College London

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