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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.


More to explore:

Popular Applied Statistics Courses and Certifications


  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Health Informatics, Unsupervised Learning, Model Evaluation, Medical Imaging, Python Programming, Dimensionality Reduction

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Capstone Project: Applying Business Analysis Skills

    Skills you'll gain: Risk Mitigation, Business Process Modeling, Stakeholder Analysis, Risk Analysis, Project Scoping, Stakeholder Management, Process Flow Diagrams, Risk Management, Work Breakdown Structure, Stakeholder Engagement, Scope Management, Business Requirements, Presentations, Requirements Elicitation, Business Analysis, Looker (Software), Requirements Analysis, Project Management, Process Optimization, Data Analysis Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Differential Equations Part III Systems of Equations

    Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Linear Algebra, Calculus, Engineering Analysis, Mathematical Modeling

    4.2
    Rating, 4.2 out of 5 stars
    ·
    12 reviews

    Intermediate · 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, Geographic Information Systems, Building Information Modeling, Data Manipulation, Global Positioning Systems, Network Analysis, Image Analysis, Data Import/Export, Unsupervised Learning, Software Installation, Supervised Learning, UI Components

    4
    Rating, 4 out of 5 stars
    ·
    40 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Systèmes d’Information Géographique - Partie 2

    Skills you'll gain: Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Augmented Reality, Data Visualization Software, Data Mapping, Color Theory, Database Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    43 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    Tecnológico de Monterrey

    Analizar e incrementar - Parte 1

    Skills you'll gain: Process Analysis, Six Sigma Methodology, Process Improvement, Lean Methodologies, Process Optimization, Operational Analysis, Business Process, Lean Manufacturing, Statistical Analysis, Analysis, Regression Analysis, Continuous Improvement Process, Statistical Methods, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to C++ Programming: Build a Calculator

    Skills you'll gain: Program Development, C and C++, C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Development Environment, Software Development, Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    T

    The Chinese University of Hong Kong

    离散优化建模基础篇 Basic Modeling for Discrete Optimization

    Skills you'll gain: Applied Mathematics, Operations Research, Mathematical Modeling, Enterprise Modeling, Network Model, Statistical Modeling, Combinatorics, Functional Design, Mathematical Software, Computational Thinking, Graph Theory, Algorithms, Data Structures, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Build and deploy a stroke prediction model using R: Coursera
  • Capstone Project: Applying Business Analysis Skills : IBM
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Differential Equations Part III Systems of Equations : Korea Advanced Institute of Science and Technology(KAIST)
  • Mastering Geospatial Analysis with QGIS: L&T EduTech
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Systèmes d’Information Géographique - Partie 2: École Polytechnique Fédérale de Lausanne
  • Analizar e incrementar - Parte 1: Tecnológico de Monterrey

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