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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


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    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

  • Status: Free Trial
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    Edureka

    Applied Data Analytics with Python and SQL

    Skills you'll gain: Data Visualization, Web Scraping, SQL, Data Visualization Software, Pandas (Python Package), NumPy, Data Analysis, Databases, Data Manipulation, Python Programming, Data Processing, Jupyter, Data Wrangling, Data Cleansing, Data Structures

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Geneva

    Global Statistics - Composite Indices for International Comparisons

    Skills you'll gain: Data Synthesis, Analytical Skills, International Relations, Economic Development, Statistics, Economics, Market Opportunities, Data Analysis, Labor Compliance, Social Studies, Data Quality, Transportation Operations

    4.6
    Rating, 4.6 out of 5 stars
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    49 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

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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

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    Packt

    R Programming for Statistics and Data Science

    Skills you'll gain: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics

    4.3
    Rating, 4.3 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    Civil Registration & Vital Statistics in Population Health

    Skills you'll gain: Epidemiology, Public Health, Social Determinants Of Health, Biostatistics, Health Equity, Medical Records, Demography, Vital Signs, Health Policy, Health Information Management, Data Collection

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Data Presentation, Regression Analysis, Data Storytelling, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Statistical Machine Learning, Model Evaluation, Statistical Visualization, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Applied Machine Learning, Data Manipulation, Statistical Modeling, Linear Algebra, File I/O, Data Preprocessing, Object Oriented Programming (OOP)

    Earn a degree

    Degree · 1 - 4 Years

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    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

  • 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

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    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, Advanced Analytics, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model

    Mixed · Course · 1 - 4 Weeks

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    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

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

  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • Applied Data Analytics with Python and SQL: Edureka
  • Global Statistics - Composite Indices for International Comparisons: University of Geneva
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • R Programming for Statistics and Data Science: Packt
  • Civil Registration & Vital Statistics in Population Health: Johns Hopkins University
  • Master of Science in Data Science (Statistics): University of Leeds
  • Recommender Systems: An Applied Approach using Deep Learning: Packt
  • Using Descriptive Statistics to Analyze Data in R: Coursera

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