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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

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    Machine Learning in Retail

    Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Data Science for Marketing

    Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Model Evaluation, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Necessary Condition Analysis (NCA)

    Skills you'll gain: Data Analysis, Statistical Reporting, Quantitative Research, Statistical Analysis, Small Data, Qualitative Research, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots

    4.9
    Rating, 4.9 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Mastering Data Analysis with Pandas: Learning Path Part 5

    Skills you'll gain: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Data Integration, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization using Plotnine and ggplot

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    B

    Board Infinity

    Data Visualization with Tableau

    Skills you'll gain: Data Visualization Software, Dashboard, Data Visualization, Interactive Data Visualization, Data Transformation, Tableau Software, Data Storytelling, Data Manipulation, Exploratory Data Analysis, Heat Maps, Scatter Plots, Data Analysis, Forecasting, Geospatial Mapping

    3.8
    Rating, 3.8 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Association Rules Analysis

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Preprocessing, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Establish Company Training Initiatives with Canvas

    Skills you'll gain: Web Analytics, Organizational Skills, Content Development and Management, Employee Training, Training and Development, Learning Management Systems, Content Management, Content Creation, Writing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Plataformas para procesar datos no tradicionales​

    Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Public Cloud, Big Data, MongoDB, Data Infrastructure, Apache Hadoop, Apache Spark, Distributed Computing, Data Architecture, Cloud Platforms, Cloud Services, Data Processing, Database Systems, Scalability, Environmental Monitoring, Climate Change Programs

    4.3
    Rating, 4.3 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 3 - 6 Months

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1…777879…121

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

  • Interpretable machine learning applications: Part 5: Coursera
  • Machine Learning in Retail: Coursera
  • Data Science for Marketing: University of Colorado System
  • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
  • Mastering Data Analysis with Pandas: Learning Path Part 5: Coursera
  • Pandas for Data Science: Duke University
  • K-Means Clustering 101: World Happiness Report: Coursera
  • Data Visualization using Plotnine and ggplot: Coursera
  • Data Visualization with Tableau: Board Infinity
  • Association Rules Analysis: University of Colorado Boulder

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