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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: Preview
    Preview
    U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning, Computer Vision, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Vertex Pipelines: Qwik Start

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Applied Machine Learning, Data Pipelines, Tensorflow, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Learning and Development

    Skills you'll gain: Responsible AI, Microsoft Copilot, Generative AI, AI Enablement, Training and Development, ChatGPT, Productivity Software, Training Programs, Prompt Engineering, Developing Training Materials, Learning Management Systems, Innovation, Case Studies, Automation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Analyze Website Visitors with Google Analytics Segments

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Customer Insights, Analysis, Target Audience, Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    126 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Visualization using Plotly

    Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Interactive Data Visualization, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    50 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Quantifying Relationships with Regression Models

    Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Modeling, Statistical Analysis, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    How to Create and Explore a Data Set

    Skills you'll gain: Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistical Software, Statistics, Data Management, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Cisco Learning and Certifications

    DevOps for Network Automation (NetDevOps)

    Skills you'll gain: Development Environment, Software Development Methodologies, CI/CD, DevOps, IT Automation, Version Control, Continuous Integration, Network Engineering, Program Development, Docker (Software), Software Development, Software Engineering, Virtual Environment, Git (Version Control System), Waterfall Methodology, Agile Methodology, Software Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • 모두를 위한 머신 러닝: University of London
  • Vertex Pipelines: Qwik Start: Google Cloud
  • GenAI for Learning and Development: Coursera
  • Analyze Website Visitors with Google Analytics Segments: Coursera
  • Introduction to Machine Learning with Python: Arizona State University
  • Data Visualization using Plotly: Coursera
  • Quantifying Relationships with Regression Models: Johns Hopkins University
  • Using probability distributions for real world problems in R: Coursera
  • How to Create and Explore a Data Set: American Psychological Association
  • DevOps for Network Automation (NetDevOps): Cisco Learning and Certifications

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