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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 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, Geometry, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    An Overview of the U.S. Healthcare System

    Skills you'll gain: Health Systems, Managed Care, Patient-centered Care, Healthcare Industry Knowledge, Medicaid, Health Care Administration, Health Care, Medicare, Health Policy, Health Disparities, Health Equity, Cultural Diversity, Diversity Awareness, Telehealth, Economics, Trend Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Radio y Televisión Española

    Competencias y habilidades esenciales en el entorno digital

    Skills you'll gain: Social Media Content, Social Media Strategy, Live Streaming, Photo/Video Production and Technology, Social Media Management, Video Production, Content Strategy, Web Content, Media and Communications, Content Creation, Journalism, digital literacy, Mobile Development Tools, Research, Digital Communications, Investigation, Social Network Analysis, Trend Analysis, Verification And Validation, Open Source Technology

    4.9
    Rating, 4.9 out of 5 stars
    ·
    79 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern AI Models for Vision and Multimodal Understanding

    Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Embeddings, Digital Signal Processing, Transfer Learning, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    20 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Big Data Foundations with Hadoop and Spark

    Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, Apache Hive, Big Data, Applied Machine Learning, Data Processing, Apache, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, IntelliJ IDEA, Application Deployment, Enterprise Application Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    MathWorks

    Practical MATLAB Skills

    Skills you'll gain: Plot (Graphics), Scripting, Matlab, Data Manipulation, Mathematical Modeling, Data Analysis, Data Visualization, Data Visualization Software, Descriptive Statistics, Interactive Data Visualization, Exploratory Data Analysis, Data Mapping, Data Cleansing, File Management, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • 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
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    18 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Maximum Performance and Technology in Sports

    Skills you'll gain: Data Presentation, Matplotlib, Data Synthesis, Probability Distribution, Data Processing, Data Integration, Data Literacy, Performance Analysis, Exploratory Data Analysis, Statistical Analysis, Probability, Applied Machine Learning, Analysis, Image Analysis, Descriptive Analytics, AI Enablement, Business Analytics, Statistical Methods, Data Collection, Machine Learning

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • An Overview of the U.S. Healthcare System: Northeastern University
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • Mining Quality Prediction Using Machine & Deep Learning: Coursera
  • Competencias y habilidades esenciales en el entorno digital: Radio y Televisión Española
  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
  • Big Data Foundations with Hadoop and Spark: Packt
  • Practical MATLAB Skills: MathWorks
  • Fundamental Linear Algebra Concepts with Python: Howard University

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