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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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    J

    Johns Hopkins University

    Civil Registration & Vital Statistics in Population Health

    Skills you'll gain: Epidemiology, Public Health, Social Determinants Of Health, Public Health and Disease Prevention, Health Disparities, Biostatistics, Health Equity, Medical Records, Demography, Vital Signs, Health Policy, Diversity Awareness, Medical Coding, Record Keeping, Data Quality, Health Information Management, Data Collection

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
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    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    P

    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib

    Intermediate · Course · 1 - 4 Weeks

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    N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model

    Mixed · Course · 1 - 3 Months

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Data Presentation, Statistical Machine Learning, Regression Analysis, Data Storytelling, Social Network Analysis, Statistical Hypothesis Testing, Matplotlib, Exploratory Data Analysis, Bayesian Statistics, Dimensionality Reduction, Data Analysis, Model Evaluation, Statistical Visualization, Classification And Regression Tree (CART), Supervised Learning, Network Analysis, Statistical Modeling, File I/O, Data Preprocessing

    Earn a degree

    Degree · 1 - 4 Years

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    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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    E

    EDUCBA

    Bayesian Statistics: Excel to Python A/B Testing

    Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Amsterdam

    Methods and Statistics in Social Science - Final Research Project

    Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Data Collection, Research Methodologies, Surveys, Qualitative Research, Experimentation, Descriptive Statistics, Survey Creation

    4.4
    Rating, 4.4 out of 5 stars
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    70 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling, Advanced Analytics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

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1…161718…248

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

  • Civil Registration & Vital Statistics in Population Health: Johns Hopkins University
  • Using Descriptive Statistics to Analyze Data in R: Coursera
  • Data Analysis with R: Duke University
  • Recommender Systems: An Applied Approach using Deep Learning: Packt
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • Master of Science in Data Science (Statistics): University of Leeds
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
  • Methods and Statistics in Social Science - Final Research Project: University of Amsterdam

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