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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

    Dashboards in Qlik Sense: Decision-Support Dashboards

    Skills you'll gain: Interactive Data Visualization, Data Visualization, Exploratory Data Analysis, Dashboard, Dashboard Creation, Data Visualization Software, Data Presentation, Data Integration, Heat Maps, Datamaps, Spatial Data Analysis, Data-Driven Decision-Making, Decision Support Systems, Business Intelligence Software, Spatial Analysis, Geospatial Information and Technology, Data Mapping

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro

    Skills you'll gain: Data Processing, Model Deployment, Data Pipelines, Data Presentation, Data Visualization, Applied Machine Learning, Interactive Data Visualization, Operational Databases, Statistical Reporting, Google Cloud Platform, Machine Learning Methods, Database Development, Data Quality, Cloud Security, Information Systems Security, Cloud Engineering, Quality Assurance, Data Security, Information Assurance, Data Storage

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Bracketology with Google Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Analytics, Data Manipulation, Predictive Analytics, Model Training, Predictive Modeling, Machine Learning, Data Access, Exploratory Data Analysis, SQL

    Beginner · Project · Less Than 2 Hours

  • E

    EDUCBA

    Agile Tools & PMI-ACP Exam Prep: Plan, Execute and Lead

    Skills you'll gain: Stakeholder Management, Agile Project Management, Team Performance Management, Stakeholder Engagement, Jira (Software), Sprint Retrospectives, Scrum (Software Development), Sprint Planning, User Story, Backlogs, Kanban Principles, Agile Software Development, Strategic Prioritization, Agile Product Development, Scaled Agile Framework, Project Risk Management, Agile Methodology, Test Tools, Project Management Institute (PMI) Methodology, Test Planning

    ★ 4.9 (25) · Beginner · Specialization · 3 - 6 Months

  • S

    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Machine Learning Software, Business Process Modeling, Workflow Management, Predictive Modeling, Governance Risk Management and Compliance, Applied Machine Learning, SAS (Software), Text Mining, R Programming, Performance Analysis, Unstructured Data, Scheduling

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Data Structures for Designers Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Software Design, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Computer Graphics, Graphical Tools, Python Programming, Linear Algebra, Spatial Analysis

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Optimization, Classification Algorithms, Amazon Web Services, Model Training, Machine Learning Methods, Machine Learning Software, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado System

    Scaling Scrum for Large Systems Engineering Projects

    Skills you'll gain: Scaled Agile Framework, Systems Engineering, Scrum (Software Development), Agile Software Development, Software Engineering, Agile Methodology, Agile Project Management, Kanban Principles, Software Development Methodologies, Business Leadership, Agile Product Development, Process Driven Development, Unified Modeling Language, Backlogs, Scalability, Organizational Structure, Organizational Change, Coordination, Waterfall Methodology

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Application Lifecycle Management, Model Training, DevOps, Applied Machine Learning, Cloud Deployment, AI Workflows, Devops Tools, Automation, CI/CD

    Intermediate · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Predictive Analytics and Forecasting

    Skills you'll gain: Data Mining, Predictive Modeling, Predictive Analytics, Advanced Analytics, Business Analytics, Dimensionality Reduction, Forecasting, Data-Driven Decision-Making, Customer Analysis, Regression Analysis, Demand Planning, Classification Algorithms, Machine Learning Methods, Customer Insights, Logistic Regression, Market Analysis, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Correlation Analysis

    Mixed · Course · 3 - 6 Months

  • W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

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

  • Dashboards in Qlik Sense: Decision-Support Dashboards: Coursera
  • Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro: Google Cloud
  • Bracketology with Google Machine Learning: Google Cloud
  • Agile Tools & PMI-ACP Exam Prep: Plan, Execute and Lead: EDUCBA
  • Managing Machine Learning Models: SAS
  • Data Structures for Designers Using Python: University of Michigan
  • Statistical Learning for Engineering Part 1: Northeastern University
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Scaling Scrum for Large Systems Engineering Projects: University of Colorado System
  • Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud

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