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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


  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Minnesota

    의료기술 및 의료기술평가

    Skills you'll gain: Medical Devices, Stakeholder Analysis, Program Evaluation, Regulatory Affairs, Healthcare Industry Knowledge, Cost Benefit Analysis, Health Care Procedure and Regulation, Health Informatics, Health Technology, Health Policy, Regulatory Requirements, Clinical Trials, Medicare, Payment Systems, Financial Analysis, Probability & Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    Maven Analytics

    Complete Visual Guide to Machine Learning

    Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Care: The First Step in Tech Innovation for Entrepreneurs

    Skills you'll gain: Innovation, Entrepreneurship, Lean Methodologies, Team Oriented, Ideation, Business Research, Complex Problem Solving, Problem Management, Analysis, Customer Insights

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    Institut Mines-Télécom

    Traitement d'images : analyse fréquentielle et multi-échelle

    Skills you'll gain: Image Analysis, Digital Signal Processing, Computer Vision, NumPy, Numerical Analysis, Python Programming, Applied Mathematics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Regression Analysis - Fundamentals & Practical Applications

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Linear Algebra, Model Evaluation, Supervised Learning, Exploratory Data Analysis

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Диверсификация портфеля с помощью корреляционной матрицы

    Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investments, Financial Analysis, Financial Market

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Branching and Merging in Git

    Skills you'll gain: Git (Version Control System), Version Control, Integrated Development Environments, Eclipse (Software), Application Lifecycle Management, Release Management, Collaborative Software, Code Review

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Pearson

    AWS Certified Machine Learning - Specialty

    Skills you'll gain: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Microsoft DirectX 3D Graphics Development

    Skills you'll gain: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Application Development, C++ (Programming Language), Software Design, Microsoft Windows, Software Architecture, Application Lifecycle Management, Context Management, System Configuration, Debugging, Mathematical Theory & Analysis, Data Structures, Systems Integration, Applied Mathematics, Linear Algebra, Algebra

    Beginner · Specialization · 1 - 3 Months

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

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

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

  • Advanced Machine Learning and Deep Learning: Packt
  • 의료기술 및 의료기술평가: University of Minnesota
  • Complete Visual Guide to Machine Learning: Maven Analytics
  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Care: The First Step in Tech Innovation for Entrepreneurs: Arizona State University
  • Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
  • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
  • Диверсификация портфеля с помощью корреляционной матрицы: Coursera
  • Branching and Merging in Git: LearnKartS
  • AWS Certified Machine Learning - Specialty: Pearson

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