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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


  • F

    FAIR Institute

    Foundations of Cyber Risk Management and FAIRâ„¢

    Skills you'll gain: Risk Analysis, Cyber Risk, Cyber Threat Intelligence, Threat Modeling, Cyber Security Strategy, Governance, Risk Management, Enterprise Risk Management (ERM), Strategic Decision-Making, Risk Mitigation, Business Risk Management, Strategic Prioritization, Compliance Reporting, Management Reporting, Business Communication

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Development Methodologies Overview

    Skills you'll gain: Software Development Life Cycle, CI/CD, Software Development Methodologies, Jenkins, Continuous Integration, Agile Methodology, Software Development, Cloud Development, Continuous Delivery, Agile Software Development, Cloud Computing Architecture, Cloud Applications, Software Engineering, Scrum (Software Development), Computer Programming, Kubernetes

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Model Evaluation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Statistical Methods, Matplotlib, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, Data Management, Data Preprocessing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Movements Are Controlled By Muscle Forces

    Skills you'll gain: Electrophysiology, Kinesiology, Exercise Science, Human Musculoskeletal System, Neurology, Sports Medicine, Physiology, Anatomy, Cell Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Foundations of Data Visualization

    Skills you'll gain: Data Presentation, Graphic and Visual Design, Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Exploratory Data Analysis, Scatter Plots

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Building AI Agents – Fundamentals to Advanced

    Skills you'll gain: Email Automation, Agentic Workflows, AI Workflows, Multimodal Prompts, Tool Calling, Calendar Management, Machine Learning Methods, Scheduling, AI Security, Text Mining, Classification Algorithms, JSON

    Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • M

    MathWorks

    Data Science Companion

    Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Exploratory Data Analysis, Image Analysis, Data Science, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming, Data Import/Export

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Lean Six Sigma: Define, Analyze & Improve

    Skills you'll gain: Lean Six Sigma, Process Mapping, Quality Improvement, Root Cause Analysis, Process Improvement, Strategic Leadership, Business Leadership, Organizational Change, Change Management, Descriptive Statistics, Continuous Improvement Process, Performance Measurement, Business Priorities, Statistical Analysis, Process Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

1…197198199…275

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

  • Foundations of Cyber Risk Management and FAIRâ„¢: FAIR Institute
  • Development Methodologies Overview: LearnQuest
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Practical AI for Professionals: Northeastern University
  • Movements Are Controlled By Muscle Forces: University of Colorado Boulder
  • Foundations of Data Visualization: Johns Hopkins University
  • Building AI Agents – Fundamentals to Advanced: Packt
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Data Science Companion: MathWorks
  • Data Science with NumPy, Sets, and Dictionaries: Duke University

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