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Statistics Courses

Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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Find the best Statistics course for your goals

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

    EDUCBA

    Six Sigma Green Belt: Apply, Analyze & Improve

    Skills you'll gain: Process Mapping, Six Sigma Methodology, Lean Six Sigma, Quality Improvement, Quality Management, Process Analysis, Process Improvement, Data-Driven Decision-Making, Business Process, Continuous Improvement Process, Team Oriented, Statistical Process Controls, Pareto Chart, Statistics, Statistical Methods, Root Cause Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Box Plots, Data Analysis, Histogram, Unsupervised Learning, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Graphic Design

    Skills you'll gain: Infographics, Graphic Design, Graphic and Visual Design, Graphic and Visual Design Software, Design, Visual Design, Graphics Software, Typography, Design Software, Design Reviews, Adobe Creative Cloud, Adobe Photoshop, Design Elements And Principles, Peer Review, Color Theory, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning with Python & Scikit-learn

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Dataflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Pipelines, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Real Time Data, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Meta

    Meta Data Analyst with GenAI

    Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Quality, Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Machine Learning, Regression Analysis, Network Architecture, Network Model, Predictive Modeling, Natural Language Processing, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    Skills you'll gain:

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    M

    MathWorks

    Practical MATLAB Skills

    Skills you'll gain: Matlab, Descriptive Statistics, Data Manipulation, Scripting, Mathematical Modeling, User Interface (UI), Data Visualization, Data Visualization Software, File Management, Data Analysis, Statistical Methods, Interactive Data Visualization, Data Mapping, Exploratory Data Analysis, Data Cleansing, Technical Communication

    Beginner · Course · 1 - 4 Weeks

Statistics learners also search

basic statistics
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statistics for data science
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business statistics
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In summary, here are 10 of our most popular statistics courses

  • Six Sigma Green Belt: Apply, Analyze & Improve: EDUCBA
  • Exploratory Data Analysis: Johns Hopkins University
  • Graphic Design: University of Colorado Boulder
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • IBM Machine Learning with Python & Scikit-learn: IBM
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Deep Learning with R: Build & Predict Neural Networks: EDUCBA
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Meta Data Analyst with GenAI: Meta
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM

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