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    • Applied Statistics

    Applied Statistics Courses Online

    Understand applied statistics for data analysis and interpretation. Learn statistical methods and tools for various industries.

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    Explore the Applied Statistics Course Catalog

    • Status: Free
      Free
      C

      Coursera Project Network

      Data Visualization using Plotnine and ggplot

      Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Intermediate · 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, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Computer Vision, Health Informatics, Machine Learning, Feature Engineering, Medical Imaging, Jupyter, Python Programming, Dimensionality Reduction

      3.9
      Rating, 3.9 out of 5 stars
      ·
      14 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Explainable deep learning models for healthcare - CDSS 3

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting, Machine Learning, Visualization (Computer Graphics), Electocardiography, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Build Image Quality Inspection using AWS Lookout for Vision

      Skills you'll gain: Image Analysis, Amazon Web Services, Data Processing, Computer Vision, Amazon S3, Anomaly Detection, Software Quality Assurance, Applied Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      K-Means Clustering 101: World Happiness Report

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Economics, Policy, and Social Studies, Exploratory Data Analysis, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Vertex Pipelines: Qwik Start

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

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Diabetes Prediction With Pyspark MLLIB

      Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Regression Analysis, Machine Learning, Google Cloud Platform

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      B

      Berklee

      Producing Music in the Home Studio

      Skills you'll gain: Musical Composition, Music Theory, Music, Editing, Post-Production, Creativity

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Logistic Regression and Prediction for Health Data

      Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Statistical Modeling, Classification And Regression Tree (CART), Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Risk Analysis, Descriptive Statistics

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 4

      Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Analysis, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Exploratory Data Analysis, Machine Learning, Random Forest Algorithm, Statistical Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Microsoft

      Microsoft Defender Cloud Compliance - Secure Azure Services

      Skills you'll gain: Cloud Security, Microsoft Azure, Threat Management, Security Controls, Data Security, Key Management, Continuous Monitoring, Network Security, System Monitoring, Virtual Environment, Query Languages

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Random Processes

      Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

      Mixed · Course · 1 - 4 Weeks

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    1…134135136…200

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

    • Data Visualization using Plotnine and ggplot: Coursera Project Network
    • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
    • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
    • Build Image Quality Inspection using AWS Lookout for Vision: Coursera Project Network
    • K-Means Clustering 101: World Happiness Report: Coursera Project Network
    • Vertex Pipelines: Qwik Start: Google Cloud
    • Diabetes Prediction With Pyspark MLLIB: Coursera Project Network
    • Producing Music in the Home Studio: Berklee
    • Logistic Regression and Prediction for Health Data: University of Michigan
    • Interpretable Machine Learning Applications: Part 4: Coursera Project Network

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