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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


  • K

    Kennesaw State University

    Team Management for the 6 σ Black Belt

    Skills you'll gain: Team Management, Team Building, Meeting Facilitation, Conflict Management, Team Leadership, Six Sigma Methodology, Lean Six Sigma, Discussion Facilitation, Project Management, Cross-Functional Collaboration, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    238 reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • U

    Università di Napoli Federico II

    English Upper Intermediate B2.1

    Skills you'll gain: English Language, Storytelling, Language Learning, Oral Expression, Writing, Intercultural Competence, Interpersonal Communications, Vocabulary, Culture, Trend Analysis, Grammar, Oral Comprehension, Descriptive Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    81 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Amsterdam

    Unraveling the Cycling City

    Skills you'll gain: Sociology, Social Sciences, Systems Thinking, Economics, Policy, and Social Studies, Cultural Diversity, Policy Analysis, Environmental Science, Spatial Analysis, Case Studies, Human Centered Design, Public Policies, Qualitative Research, Sustainable Engineering, Environment and Resource Management, European History

    4.9
    Rating, 4.9 out of 5 stars
    ·
    254 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Toronto

    Plant Bioinformatics

    Skills you'll gain: Bioinformatics, Network Analysis, Data Visualization Software, Data Analysis, Data Mining, Exploratory Data Analysis, Databases

    4.8
    Rating, 4.8 out of 5 stars
    ·
    253 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    99 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.3
    Rating, 3.3 out of 5 stars
    ·
    104 reviews

    Advanced · Course · 1 - 3 Months

  • T

    Tableau Learning Partner

    Data Analysis with Tableau

    Skills you'll gain: Exploratory Data Analysis, Tableau Software, Data Preprocessing, Data Analysis, Descriptive Statistics, Predictive Analytics, Box Plots, Statistical Analysis, Scatter Plots, Data Visualization Software, Trend Analysis, Analytics, Histogram, Business Analytics, Data Manipulation, Regression Analysis, Correlation Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    106 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Sampling People, Networks and Records

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Network Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    110 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Introduction to High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Computer Systems, Big Data, Operating Systems, File Systems, Linux, Scripting, Command-Line Interface, Performance Tuning, Programming Principles

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    161 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidade de São Paulo

    Estatística não-paramétrica para a tomada de decisão

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Statistical Methods, Data-Driven Decision-Making, Quantitative Research, Statistical Analysis, Decision Making, Probability Distribution

    4.4
    Rating, 4.4 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Team Management for the 6 σ Black Belt: Kennesaw State University
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • English Upper Intermediate B2.1: Università di Napoli Federico II
  • Unraveling the Cycling City: University of Amsterdam
  • Plant Bioinformatics: University of Toronto
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
  • Causal Inference: Columbia University
  • Data Analysis with Tableau: Tableau Learning Partner
  • Sampling People, Networks and Records: University of Michigan
  • Principal Component Analysis with NumPy: Coursera

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