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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


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    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Classification Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    R

    Real Madrid Graduate School Universidad Europea

    How Did We Get Here?The Development of Analytics in Football

    Skills you'll gain: Analytics, Performance Analysis, Descriptive Analytics, Business Analytics, Data-Driven Decision-Making, Data Analysis, Media and Communications, Analysis, Predictive Analytics, Performance Measurement, Data Collection, Small Data, Big Data, Spatial Analysis, Research, Performance Reporting, Learning Styles, Innovation, Leadership, Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    733 reviews

    Beginner · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Statistical Analysis, Statistical Modeling, Statistical Inference, Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    848 reviews

    Beginner · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

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    C

    Coursera

    Electrical Design Engineer - Circuit Analysis

    Skills you'll gain: Electronic Systems, Basic Electrical Systems, Electrical Engineering, Applied Mathematics, Hardware Design, Electronics, Electronic Components, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Analysis, High Voltage, Grant Applications

    Intermediate · Course · 1 - 4 Weeks

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    Starweaver

    Threat Hunting Techniques

    Skills you'll gain: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Threat Management, Cybersecurity, Data Analysis, Data Science, Applied Machine Learning, Security Information and Event Management (SIEM), Pandas (Python Package), Interactive Data Visualization, Data Cleansing, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Machine Learning Methods, Automation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Cloud Services, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Ad Hoc Analysis, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    The Nature of Data and Relational Database Design

    Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, SQL, Descriptive Statistics, Statistics, Statistical Analysis, Business Intelligence, Microsoft Excel, Data Processing, Extract, Transform, Load, Business Analytics, Data Manipulation, Data Science

    4.5
    Rating, 4.5 out of 5 stars
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    102 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Foundations for Machine Learning: Dartmouth College
  • How Did We Get Here?The Development of Analytics in Football: Real Madrid Graduate School Universidad Europea
  • Machine Learning: Classification: University of Washington
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Principles of fMRI 1: Johns Hopkins University
  • Genomic Data Science: Johns Hopkins University
  • Machine Learning Fundamentals: Dartmouth College
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Electrical Design Engineer - Circuit Analysis: Coursera
  • Threat Hunting Techniques: Starweaver

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