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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.


More to explore:

Popular Statistics Courses and Certifications


  • Status: Preview
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    K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

    Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
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    714 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Project Design, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management, Project Documentation

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science

    Skills you'll gain: Exploratory Data Analysis, Dashboard, Data Visualization Software, Plotly, Data Visualization, Model Evaluation, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Matplotlib, Pandas (Python Package), Data Presentation, Data Science, Data Import/Export, Programming Principles, Web Scraping, Python Programming, Machine Learning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    61K reviews

    Beginner · Specialization · 3 - 6 Months

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    E

    Edureka

    Introduction to PySpark

    Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability

    3.7
    Rating, 3.7 out of 5 stars
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    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    74K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    95 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming

    Build toward a degree

    3.4
    Rating, 3.4 out of 5 stars
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    129 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Data Visualization, Text Mining, Social Network Analysis, Statistical Analysis, Data Visualization Software, Case Studies, Application Programming Interface (API), Unstructured Data, Data Analysis, R Programming, Statistical Methods, Correlation Analysis, Regression Analysis, Data Collection, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
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    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    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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    585 reviews

    Advanced · Course · 1 - 3 Months

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

  • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Google Advanced Data Analytics Capstone: Google
  • Applied Machine Learning in Python: University of Michigan
  • Applied Data Science: IBM
  • Introduction to PySpark: Edureka
  • Data Science Fundamentals with Python and SQL: IBM
  • Data Analysis and Visualization with Python: Microsoft
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder

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