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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
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Global Positioning Systems, Hardware Architecture, Systems Architecture, Network Routing, Graph Theory, Estimation, Algorithms, Predictive Modeling, Mathematical Modeling, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    373 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Geospatial Techniques for Engineers

    Skills you'll gain: Geospatial Information and Technology, Spatial Analysis, GIS Software, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Construction Engineering, Database Management, Database Management Systems, Construction, Construction Management, ArcGIS, Relational Databases, Visualization (Computer Graphics), Global Positioning Systems, Data Mapping, Building Information Modeling, Scientific Visualization, Engineering, Scientific, and Technical Instruments, Network Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    76 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Classification And Regression Tree (CART), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Model Training, Supervised Learning, Decision Tree Learning, Probability & Statistics, Data Processing, Machine Learning Software, Statistical Software, Machine Learning Methods, Workflow Management, Machine Learning, Correlation Analysis, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    105 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Machine Learning, Data Preprocessing, Data Transformation, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Data Science, Advanced Analytics, Analytical Skills, Business Solutions, Technical Communication, Process Design, Project Management, Communication, Stakeholder Communications, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    630 reviews

    Advanced · Course · 1 - 3 Months

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

    Coursera

    Qlik Sense for Business Intelligence

    Skills you'll gain: Interactive Data Visualization, Data Storytelling, Data Presentation, Data Visualization, Business Intelligence, Dashboard Creation, Business Intelligence Software, Data-Driven Decision-Making, Customer Analysis, Data Modeling, Data Analysis, Data Integration, Advanced Analytics, Spatial Data Analysis, Exploratory Data Analysis, Statistical Analysis, Data Transformation, Decision Support Systems, Collaborative Software, Data Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Parallel Computing with MPI

    Skills you'll gain: File I/O, C and C++, Data Import/Export, C++ (Programming Language), Communication Systems, C (Programming Language)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Mastering Geospatial Analysis with QGIS

    Skills you'll gain: Spatial Analysis, GIS Software, Spatial Data Analysis, Geospatial Mapping, Geospatial Information and Technology, Geographic Information Systems, Data Mapping, Building Information Modeling, Global Positioning Systems, Network Analysis, Image Analysis, Data Import/Export, Software Installation, Supervised Learning, Classification Algorithms

    4.1
    Rating, 4.1 out of 5 stars
    ·
    45 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Statistical Modeling, Applied Machine Learning, Statistical Methods, Analytical Skills, Data Science, Predictive Modeling, Machine Learning Methods, Artificial Intelligence, Python Programming, AI literacy, Machine Learning, Portfolio Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

1234…6

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

  • Self-Driving Cars: University of Toronto
  • IBM AI Enterprise Workflow: IBM
  • Geospatial Techniques for Engineers: L&T EduTech
  • SAS Machine Learning Engineer: SAS
  • More Applied Data Science with Python: University of Michigan
  • Foundations of Data Science: Google
  • Probabilistic Graphical Models: Stanford University
  • The Nuts and Bolts of Machine Learning: Google
  • Qlik Sense for Business Intelligence: Coursera
  • Parallel Computing with MPI: University of Colorado Boulder

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