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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


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    Packt

    Advanced Programming, Control, and Monitoring Systems

    Skills you'll gain: Programmable Logic Controllers, Real-Time Operating Systems, Program Development, Human Machine Interfaces, Automation, System Monitoring, Simulations

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Successful Presentation

    Skills you'll gain: Public Speaking, Presentations, Verbal Communication Skills, Storytelling, Drive Engagement, Communication, Persuasive Communication, Non-Verbal Communication, Business Writing, Composure, Adaptability, Creativity

    4.8
    Rating, 4.8 out of 5 stars
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    4.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
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    5.8K reviews

    Beginner · Course · 1 - 3 Months

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    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Statistical Modeling, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    Precalculus: Relations and Functions

    Skills you'll gain: Graphing, Data Analysis, R (Software), General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus

    4.7
    Rating, 4.7 out of 5 stars
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    223 reviews

    Beginner · Course · 1 - 4 Weeks

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    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    410 reviews

    Intermediate · Course · 1 - 3 Months

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    Alex Genadinik

    50-Point Website SEO Audit

    Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Keyword Research, Web Analytics, Auditing, Content Strategy, WordPress, HTML and CSS, Content Management, Performance Improvement

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
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    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow

    4.5
    Rating, 4.5 out of 5 stars
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    324 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    42 reviews

    Intermediate · Specialization · 3 - 6 Months

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    DeepLearning.AI

    AI for Good

    Skills you'll gain: Model Evaluation, Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Mitigation, Applied Machine Learning, Text Mining, Environmental Monitoring, Convolutional Neural Networks, Unstructured Data, Information Privacy, Computer Vision, Supervised Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    608 reviews

    Beginner · Specialization · 1 - 3 Months

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    J

    Johns Hopkins University

    Simple Regression Analysis in Public Health

    Skills you'll gain: Biostatistics, Logistic Regression, Regression Analysis, Statistical Methods, Statistical Analysis, Epidemiology, Quantitative Research, Public Health, Statistical Modeling, Probability & Statistics, Statistical Inference, Risk Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    387 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Web Analytics & Reporting

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Effectiveness, Marketing Analytics, Content Performance Analysis, Web Analytics and SEO, Looker (Software), Google Ads, Data Visualization, Data Visualization Software, Marketing Automation, Customer Insights, Campaign Management, Data-Driven Decision-Making, Business Reporting, Performance Reporting, Trend Analysis, Data Validation, Statistical Analysis, Key Performance Indicators (KPIs)

    Intermediate · Specialization · 3 - 6 Months

Searches related to applied statistics

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

  • Advanced Programming, Control, and Monitoring Systems: Packt
  • Successful Presentation: University of Colorado Boulder
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Precalculus: Relations and Functions: Johns Hopkins University
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • 50-Point Website SEO Audit: Alex Genadinik
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • AI for Good: DeepLearning.AI

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