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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


  • Status: Free Trial
    Free Trial
    T

    Tecnológico de Monterrey

    Analizar e incrementar - Parte 1

    Skills you'll gain: Process Analysis, Six Sigma Methodology, Process Improvement, Lean Methodologies, Process Optimization, Operational Analysis, Business Process, Lean Manufacturing, Statistical Analysis, Analysis, Regression Analysis, Continuous Improvement Process, Statistical Methods, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Business Analytics using Excel

    Skills you'll gain: Data Visualization, Microsoft Excel, Interactive Data Visualization, Excel Formulas, Pivot Tables And Charts, Dashboard Creation, Dashboard, Excel Macros, Statistical Methods, Spreadsheet Software, Data Analysis, Analytics, Data Wrangling, Data Preprocessing, Regression Analysis, Analytical Skills, Descriptive Statistics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Scientific Visualization, Jupyter, Matplotlib, Data Presentation, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Analysis, R Programming, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Social Network Analysis, Data Presentation, Statistical Machine Learning, Statistical Hypothesis Testing, Classification And Regression Tree (CART), Data Storytelling, R (Software), Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Data Visualization, Statistical Visualization, Supervised Learning, Network Analysis, Web Scraping, Statistical Modeling, Linear Algebra, Python Programming, Data Preprocessing

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Preview
    Preview
    I

    Illinois Tech

    Digital Marketing

    Skills you'll gain: Pay Per Click Advertising, Digital Marketing, Web Analytics, Digital Marketing Campaigns, Email Marketing, Paid media, Digital Advertising, Social Media Campaigns, Digital Brand Strategy, Marketing Strategies, Online Advertising, Social Media Marketing, Digital Marketing Tools, Web Design and Development, Marketing Analytics, Search Engine Optimization, Social Media, Campaign Management, Data-Driven Marketing, Search Engine Marketing

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Artificial Intelligence, Model Optimization, Federated Learning, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Microsoft Azure, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    Understanding Modern Physics III: Simplicity and Complexity

    Skills you'll gain: Physics, Advanced Mathematics, Simulations, Mechanics, Integral Calculus, Mathematical Modeling, Calculus, Probability, Differential Equations, Probability & Statistics, Physical Science, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    ANOVA and Experimental Design

    Skills you'll gain: Statistical Hypothesis Testing, Experimentation, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Quantitative Research, Regression Analysis, Statistical Inference, Probability & Statistics, Sample Size Determination, Linear Algebra, Calculus

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing

    3.8
    Rating, 3.8 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Python for Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Statistical Programming, Analytics, Statistical Methods, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Predictive Modeling, Programming Principles, Jupyter, Python Programming, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Statistical Modeling, Predictive Analytics, Statistical Software, Big Data, Regression Analysis, Data Management, Feature Engineering, Performance Analysis, Statistical Analysis, Data Preprocessing, Correlation Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Career Options: Exploring a New Career

    Skills you'll gain: Planning, Professional Networking, Market Opportunities, Lifelong Learning, Goal Setting, Professional Development, Personal Development, Market Research, Cognitive flexibility, Adaptability, Personal Attributes, Self-Awareness, Market Trend, Market Analysis, Creative Thinking, Decision Making, Gap Analysis, Trend Analysis

    4.1
    Rating, 4.1 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 3 Months

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

  • Analizar e incrementar - Parte 1: Tecnológico de Monterrey
  • Business Analytics using Excel: Simplilearn
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Master of Science in Data Science (Statistics): University of Leeds
  • Digital Marketing: Illinois Tech
  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • Understanding Modern Physics III: Simplicity and Complexity: The Hong Kong University of Science and Technology
  • ANOVA and Experimental Design: University of Colorado Boulder
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Python for Data Analytics: DeepLearning.AI

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