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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.


Popular Applied Statistics Courses and Certifications


  • 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

    Icahn School of Medicine at Mount Sinai

    Voice Disorders: What Patients and Professionals Need to Know

    Skills you'll gain: Speech Language Pathology, Patient Evaluation, Patient Treatment, Physiology, Clinical Assessment, Surgery, Anatomy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    217 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    The Improve Phase for the 6 σ Black Belt

    Skills you'll gain: Lean Methodologies, Lean Six Sigma, Six Sigma Methodology, Performance Measurement, Process Improvement, Continuous Improvement Process, Process Analysis, Statistical Methods, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Creating Features for Time Series Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Exploratory Data Analysis, Data Preprocessing, Unsupervised Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    A

    Arm

    Introduction to AI

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Ethics, Recurrent Neural Networks (RNNs), Responsible AI, Convolutional Neural Networks, Data Science, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Beginner · 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

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Deep Learning, Machine Learning, Model Evaluation, Mortgage Loans, Consumer Lending, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Fundamental Linear Algebra Concepts with Python

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Algebra, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Systems Analysis

    Skills you'll gain: Feasibility Studies, Systems Development, Software Development Methodologies, Business Analysis, Software Design, Business Process Modeling, Communication, Data Flow Diagrams (DFDs), Stakeholder Communications, Business Communication, Product Lifecycle Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to applied statistics

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

  • Build and deploy a stroke prediction model using R: Coursera
  • Voice Disorders: What Patients and Professionals Need to Know: Icahn School of Medicine at Mount Sinai
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • The Improve Phase for the 6 σ Black Belt: Kennesaw State University
  • Creating Features for Time Series Data: SAS
  • Data Science for Marketing: University of Colorado System
  • Introduction to AI: Arm
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Interpretable machine learning applications: Part 3: Coursera
  • Fundamental Linear Algebra Concepts with Python: Howard University

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