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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.


Popular Statistics Courses and Certifications


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    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    SkillUp

    ASQ-Certified Six Sigma Green Belt (CSSGB) Exam Prep

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Statistical Hypothesis Testing, Process Capability, Statistical Analysis, Data Analysis, Continuous Improvement Process, Project Management, Statistics, Work Breakdown Structure, Lean Six Sigma, Operational Excellence, Process Analysis, Quality Improvement, Data Collection, Process Improvement, Stakeholder Management, Quality Management

    4.5
    Rating, 4.5 out of 5 stars
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    50 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Michigan

    Total Data Quality

    Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Governance, Data Collection, Quality Assurance, Data Processing, Data Strategy, Data Analysis, Data Management, Model Evaluation, Data Preprocessing, Data Access, Statistical Analysis, Sampling (Statistics), Verification And Validation, Design Strategies, Threat Detection

    4.6
    Rating, 4.6 out of 5 stars
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    56 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    C

    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: NoSQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Convolutional Neural Networks, Transfer Learning, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Data Management, Machine Learning

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    38 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Data Visualization Best Practices

    Skills you'll gain: Data Visualization Software, Statistical Visualization, Data Presentation, Plot (Graphics), Data Storytelling, Tableau Software, Exploratory Data Analysis, Descriptive Statistics, Data Analysis, Descriptive Analytics, Histogram

    3.9
    Rating, 3.9 out of 5 stars
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    20 reviews

    Mixed · Course · 1 - 4 Weeks

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    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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    U

    University of California, Irvine

    Cluster Analysis, Association Mining, and Model Evaluation

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Analytics, Anomaly Detection, Fraud detection, Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Classification Algorithms, Collaborative Software

    4.5
    Rating, 4.5 out of 5 stars
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    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face

    4.7
    Rating, 4.7 out of 5 stars
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    15 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Measurement – Turning Concepts into Data

    Skills you'll gain: Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Research Design, Model Evaluation, Data Transformation, Statistical Analysis, Data Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
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    82 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Scrape and analyze data analyst job requirements with Python

    Skills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub

    3.3
    Rating, 3.3 out of 5 stars
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    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to the Tidyverse

    Skills you'll gain: Tidyverse (R Package), Data Wrangling, R (Software), Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Data Management, File Management, Data Visualization, Data Import/Export

    4.4
    Rating, 4.4 out of 5 stars
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    53 reviews

    Beginner · Course · 1 - 3 Months

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

  • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
  • ASQ-Certified Six Sigma Green Belt (CSSGB) Exam Prep: SkillUp
  • Total Data Quality: University of Michigan
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
  • Data Analytics and Deep Learning: Illinois Tech
  • Data Visualization Best Practices: University of California, Irvine
  • Introduction to PySpark: Edureka
  • Cluster Analysis, Association Mining, and Model Evaluation: University of California, Irvine
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Measurement – Turning Concepts into Data: Johns Hopkins University

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