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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
    M

    Macquarie University

    Cyber Security: Security of AI

    Skills you'll gain: AI Security, Responsible AI, Cyber Security Strategy, Cyber Attacks, Cyber Threat Intelligence, Cybersecurity, Data Security, DevSecOps, Security Engineering, Artificial Intelligence, Threat Modeling, Cyber Governance, Artificial Intelligence and Machine Learning (AI/ML), Risk Management, Encryption, Application Programming Interface (API), Machine Learning, Governance, Regulation and Legal Compliance, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    78 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Social Media Marketing and Brand Advocacy

    Skills you'll gain: Social Media Marketing, Social Media Management, Social Media Strategy, Social Media Campaigns, Marketing Strategies, Brand Management, Campaign Management, Marketing, Instagram, Content Creation, Performance Analysis, Email Marketing, Marketing Analytics, Web Analytics, Digital Marketing, Marketing Psychology, Customer Relationship Management, UI/UX Strategy, Digital Advertising, Marketing Strategy and Techniques

    4.5
    Rating, 4.5 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Scripting with Python and SQL for Data Engineering

    Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Capture, Spatial Analysis, Python Programming, Hypertext Markup Language (HTML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Vector Calculus

    Skills you'll gain: Integral Calculus, Calculus, Data Integration, Vector Databases, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Spatial Data Analysis, Geometry, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Custom Regional Reports with Google Analytics

    Skills you'll gain: Google Analytics, Ad Hoc Reporting, Marketing Analytics, Email Automation, Data-Driven Decision-Making, Web Analytics, Dashboard, Geospatial Information and Technology, Marketing, Data Analysis, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    274 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Practical Geospatial Geostatistical Modeling

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, Probability & Statistics, Data-Driven Decision-Making, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

  • A

    Amazon Web Services

    DevOps on AWS and Project Management

    Skills you'll gain: Software Development Life Cycle, CI/CD, DevOps, Continuous Integration, Agile Software Development, Project Management, Software Development, Continuous Deployment, Application Deployment, Software Testing, Waterfall Methodology, Agile Methodology, Kanban Principles, Scrum (Software Development), Git (Version Control System), Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    120 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Cyber Security: Security of AI: Macquarie University
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Social Media Marketing and Brand Advocacy: Simplilearn
  • Scripting with Python and SQL for Data Engineering: Duke University
  • Linear Algebra for Data Science Using Python: Howard University
  • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
  • Building Custom Regional Reports with Google Analytics: Coursera
  • Introduction to Uncertainty Quantification: Johns Hopkins University

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