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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


  • C

    Coursera

    COVID19 Data Analysis Using Python

    Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Tools for Define and Measure

    Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Customer experience improvement, Process Mapping, Statistics, Statistical Analysis, Stakeholder Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Marketing Analytics Foundation

    Skills you'll gain: Data Collection, Marketing, Marketing Analytics, Google Analytics, Digital Marketing, Customer Data Management, Application Programming Interface (API), Market Data, Personally Identifiable Information, Web Analytics, Information Privacy, API Gateway, Data Integration, Data Analysis, Data-Driven Decision-Making, Advertising

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Mastering Categorical Data Analysis with SAS

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Analytics, Advanced Analytics, Model Evaluation, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Modeling, Exploratory Data Analysis, Correlation Analysis, Statistical Methods, Small Data, Statistical Hypothesis Testing, Probability & Statistics, Descriptive Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    734 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to Business Analysis Using Spreadsheets: Basics

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Evaluate and Explain Retention Curves

    Skills you'll gain: Customer Retention, Customer Insights, Statistical Methods, Statistical Analysis, R Programming, Trend Analysis, Data Analysis, Statistics, Product Improvement, Performance Metric, Business Metrics, Analytics, Statistical Hypothesis Testing, Customer Engagement

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Social Sciences, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Behavioral Economics, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability Distribution, Probability, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    759 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

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1…222324…130

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

  • COVID19 Data Analysis Using Python: Coursera
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Six Sigma Tools for Define and Measure: Kennesaw State University
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Marketing Analytics Foundation: Meta
  • Mastering Categorical Data Analysis with SAS: EDUCBA
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Bayesian Statistical Concepts and Methods: Arizona State University
  • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera
  • Evaluate and Explain Retention Curves: Coursera

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