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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: New
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    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization

    4.4
    Rating, 4.4 out of 5 stars
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    21 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

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    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
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    813 reviews

    Beginner · Specialization · 3 - 6 Months

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    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Software Documentation, Computer Programming, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    4.4K reviews

    Beginner · Course · 1 - 3 Months

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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Tensorflow, Artificial Neural Networks, Classification Algorithms, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning Methods, Model Evaluation, Data Preprocessing, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

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    University of California, Irvine

    Initiating and Planning Projects

    Skills you'll gain: Work Breakdown Structure, Project Planning, Project Management, Planning, Leadership

    4.7
    Rating, 4.7 out of 5 stars
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    24K reviews

    Mixed · Course · 1 - 3 Months

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    U

    UNSW Sydney (The University of New South Wales)

    Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets

    Skills you'll gain: Mechanics, Physics, Experimentation, Engineering Calculations, Applied Mathematics, Physical Science, Systems Of Measurement, Engineering Analysis, Mathematical Modeling, Estimation

    4.7
    Rating, 4.7 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

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    Imperial College London

    Logistic Regression in R for Public Health

    Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, Model Evaluation, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Probability & Statistics, Public Health, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
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    367 reviews

    Intermediate · Course · 1 - 4 Weeks

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    New York Institute of Finance

    Introduction to Risk Management

    Skills you'll gain: Risk Management, Business Risk Management, Portfolio Risk, Risk Modeling, Operational Risk, Enterprise Risk Management (ERM), Credit Risk, Risk Analysis, Portfolio Management, Capital Markets, Financial Market, Investment Management, Regulatory Requirements, Financial Regulation, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    814 reviews

    Beginner · Course · 1 - 3 Months

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    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
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    300 reviews

    Beginner · Course · 1 - 4 Weeks

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    AI CERTs

    Bitcoin Scaling & Security

    Skills you'll gain: Threat Modeling, Secure Coding, Application Security, Blockchain, Scripting, Vulnerability Assessments, Scalability, Application Design, Payment Systems, Verification And Validation, Transaction Processing, Cryptography, FinTech, Emerging Technologies

    Intermediate · Course · 1 - 4 Weeks

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    U

    Università di Napoli Federico II

    English Upper Intermediate B2.1

    Skills you'll gain: English Language, Storytelling, Oral Expression, Writing, Intercultural Competence, Cultural Diversity, Vocabulary, Trend Analysis, Grammar, Oral Comprehension, Descriptive Statistics

    4.5
    Rating, 4.5 out of 5 stars
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    78 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Data Science Beyond the Basics (ML+DS): Coursera
  • Practical Machine Learning: Johns Hopkins University
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Introduction to Software Engineering: IBM
  • Introduction to Neural Networks and PyTorch: IBM
  • Initiating and Planning Projects: University of California, Irvine
  • Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets: UNSW Sydney (The University of New South Wales)
  • Logistic Regression in R for Public Health: Imperial College London
  • Introduction to Risk Management: New York Institute of Finance
  • Machine Learning Introduction for Everyone: IBM

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