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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


  • J

    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • K

    Knowledge Accelerators

    From Excel to Power BI

    Skills you'll gain: Power BI, Dashboard Creation, Business Intelligence, Business Intelligence Software, Data Visualization, Business Reporting, Data Presentation, Business Analytics, Data Analysis, Data Synthesis, Excel Formulas, Data Manipulation, Collaborative Software, Trend Analysis, Data Cleansing, Data Management, Data Quality

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Supervised machine learning and performance evaluation

    Skills you'll gain: Model Training, Machine Learning Methods, Predictive Modeling, Applied Machine Learning, Machine Learning Algorithms, Probability Distribution, Machine Learning, Analytics, Data Analysis, Analysis, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidade de São Paulo

    Marketing Digital

    Skills you'll gain: Conversion Funnel Analysis, Search Engine Marketing, Digital Marketing, Email Marketing, Digital Marketing Campaigns, Google Ads, Marketing Strategies, Search Engine Optimization, Google Analytics, Online Advertising, A/B Testing, Pay Per Click Advertising, Marketing Planning, Advertising Campaigns, Web Analytics, Digital Advertising, Facebook, Campaign Management, Marketing Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • R

    Real Madrid Graduate School Universidad Europea

    Smart Stadiums: The Bernabéu Experience

    Skills you'll gain: Risk Management, Risk Analysis, Risk Management Framework, Business Risk Management, Project Risk Management, Sustainable Architecture, Building Information Modeling, Internet Of Things, Data Infrastructure, Infrastructure Architecture, Facility Management, Sustainable Design, Customer experience improvement, Self Service Technologies, Driving engagement, Customer Relationship Management (CRM) Software, Business Strategy, Business, Technology Strategies, Behavioral Management

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Bioinformatics

    Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Statistical Methods, Applied Machine Learning, Data Analysis Software, Machine Learning Algorithms, Molecular, Cellular, and Microbiology, Markov Model, Biotechnology, Life Sciences, Infectious Diseases, Microbiology, Epidemiology, Statistical Analysis, Precision Medicine, Algorithms, Computational Thinking, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • S

    Saïd Business School, University of Oxford

    AI and Content Recommendation

    Skills you'll gain: AI Personalization, Generative Engine Optimization (GEO), Machine Learning Methods, Media Strategy, Responsible AI, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, AI Enablement, Content Performance Analysis, Algorithms, Driving engagement, Generative AI, Marketing, Marketing Communications, Data Storytelling, Target Audience, Strategic Thinking

    Intermediate · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Fundamentos de probabilidad y aplicaciones

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Statistical Methods, Statistical Analysis, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    180 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Mathematical Foundations and Quantum Mechanics Essentials

    Skills you'll gain: Quantum computing, Probability, Linear Algebra, Probability & Statistics, Mathematics and Mathematical Modeling, Statistics, Applied Mathematics, Computer Science, Algebra, Physics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Introducción a Data Science: Programación Estadística con R

    Skills you'll gain: R (Software), R Programming, Statistical Programming, Ggplot2, Plot (Graphics), Data Manipulation, Simulations, Statistical Software, Statistical Visualization, grep, Data Processing, Graphing, Programming Principles, Data Import/Export, Exploratory Data Analysis, Data Structures, Software Installation, Package and Software Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 3 Months

  • I

    Institute for the Future

    Futures Thinking

    Skills you'll gain: Forecasting, Visionary, Proactivity, Innovation, Strategic Thinking, Strategic Planning, Cognitive flexibility, Creative Thinking, Action Oriented, Simulations, Optimism, Planning, Community Organizing, Creativity, Social Impact, Systems Thinking, Virtual Reality, Responsible AI, Trend Analysis, Storytelling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Generative Model Architectures, Big Data, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Large Language Modeling, Customer Data Management, AI literacy, Autoencoders, Model Optimization, Deep Learning, Model Evaluation, Algorithms, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 3 Months

1…454647…309

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

  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
  • From Excel to Power BI: Knowledge Accelerators
  • Supervised machine learning and performance evaluation: 28DIGITAL
  • Marketing Digital: Universidade de São Paulo
  • Smart Stadiums: The Bernabéu Experience: Real Madrid Graduate School Universidad Europea
  • Bioinformatics: University of California San Diego
  • AI and Content Recommendation: Saïd Business School, University of Oxford
  • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
  • Mathematical Foundations and Quantum Mechanics Essentials: Packt
  • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México

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