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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


  • C

    Coursera

    Make Continuous Improvements with Retrospective Maps in Miro

    Skills you'll gain: Sprint Retrospectives, Miro AI, Collaborative Software, Continuous Improvement Process, Stakeholder Engagement, Process Improvement, Project Controls, Project Documentation, Meeting Facilitation, Project Management, Agile Software Development

    Intermediate · Guided Project · Less Than 2 Hours

  • R

    Red Hat

    Introduction to Red Hat OpenShift AI

    Skills you'll gain: OpenShift, Jupyter, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Deployment, Data Storage

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Create Customizable Proposals in Qwilr

    Skills you'll gain: Content Performance Analysis, Proposal Development, Web Analytics, Presentations, Marketing Materials, Finance, Project Management

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • U

    Universidades Anáhuac

    Análisis de datos empresariales con R

    Skills you'll gain: R Programming, Statistical Analysis, Correlation Analysis, Data-Driven Decision-Making, Business Analytics, Statistical Methods, Data Analysis, Unsupervised Learning, Business Analysis, Exploratory Data Analysis, Advanced Analytics, Data Visualization, Probability & Statistics, Machine Learning Algorithms

    Beginner · Course · 1 - 3 Months

  • B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze Sales Data with LibreOffice Base Queries

    Skills you'll gain: Customer Analysis, Regional Sales, Sales, Data Analysis Software, Data Analysis, Query Languages, Trend Analysis, Databases, Customer Insights, Performance Analysis, Market Opportunities, Product Assortment

    Intermediate · Guided Project · Less Than 2 Hours

  • N

    Northeastern University

    Foundations for Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Machine Learning Algorithms, Computational Thinking, Data Preprocessing, Data Cleansing, Data Visualization, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Rediscovering Wesleyan Mission

    Skills you'll gain: Social Impact, Initiative and Leadership, Innovation, Social Justice, Community Outreach, Leadership, Compassion, Research, Storytelling, Adaptability

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Image Classification on Autopilot with AWS AutoGluon

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

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Make Continuous Improvements with Retrospective Maps in Miro: Coursera
  • Introduction to Red Hat OpenShift AI: Red Hat
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Create Customizable Proposals in Qwilr: Coursera
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Análisis de datos empresariales con R: Universidades Anáhuac
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • Analyze Sales Data with LibreOffice Base Queries: Coursera
  • Foundations for Data Analytics Part 1: Northeastern University
  • Matrix Calculus for Data Science & Machine Learning: Packt

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