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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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    N

    National Taiwan University

    基礎光學一 (Introduction to Optics (1))

    Skills you'll gain: Experimentation, Physics, Medical Imaging, Engineering, Scientific, and Technical Instruments, Scientific Methods, Applied Mathematics, Scientific Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    71 reviews

    Mixed · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    Calculus through Data & Modelling: Techniques of Integration

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
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    54 reviews

    Intermediate · Course · 1 - 4 Weeks

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    C

    Cloudera

    Foundations for Big Data Analysis with SQL

    Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Virtual Machines, Data Storage, Data Analysis

    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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    T

    The University of Edinburgh

    Intellectual Humility: Science

    Skills you'll gain: Open Mindset, Curiosity, Willingness To Learn, Self-Awareness, Empathy, Child Development, Cognitive flexibility, Emotional Intelligence, Critical Thinking, Social Sciences

    4.7
    Rating, 4.7 out of 5 stars
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    185 reviews

    Beginner · Course · 1 - 3 Months

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    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 2

    Skills you'll gain: Probability, Probability Distribution, Statistics, Statistical Inference, Simulations, Mathematical Theory & Analysis, Calculus

    4.6
    Rating, 4.6 out of 5 stars
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    40 reviews

    Mixed · Course · 1 - 3 Months

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    I

    IBM

    Data Engineering Capstone Project

    Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Relational Databases, Database Design, Data Architecture, NoSQL, Data Pipelines, Applied Machine Learning, MongoDB, Statistical Reporting, SQL, MySQL, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    131 reviews

    Advanced · Course · 1 - 3 Months

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    A

    Amazon Web Services

    Getting Started with Data Analytics on AWS

    Skills you'll gain: Descriptive Analytics, AWS Identity and Access Management (IAM), Analytics, Dashboard, Data Analysis, Exploratory Data Analysis, Amazon Web Services, Data-Driven Decision-Making, Data Visualization, Big Data, Cloud Security, Amazon S3, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
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    912 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Infosec

    Advanced Python Scripting for Cybersecurity

    Skills you'll gain: Network Analysis, Network Security, Cyber Operations, Intrusion Detection and Prevention, MITRE ATT&CK Framework, Cybersecurity, Threat Detection, Network Monitoring, Penetration Testing, Anomaly Detection, Brute-force attacks, Scripting, Authentications, Vulnerability Assessments, Python Programming, Data Access, System Monitoring, Systems Analysis, Automation

    4.5
    Rating, 4.5 out of 5 stars
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    76 reviews

    Beginner · Specialization · 1 - 3 Months

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    H

    Howard University

    Introduction to Linear Algebra and Python

    Skills you'll gain: Linear Algebra, Data Visualization, Applied Mathematics, NumPy, Jupyter, Mathematical Modeling, Data Science, Python Programming, Software Installation, Data Manipulation, Git (Version Control System)

    4.3
    Rating, 4.3 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

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    E

    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Introduction to R Programming and Tidyverse

    Skills you'll gain: Rmarkdown, Ggplot2, Data Visualization, Tidyverse (R Package), R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Transformation, Software Installation, Programming Principles

    4.2
    Rating, 4.2 out of 5 stars
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    49 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • 基礎光學一 (Introduction to Optics (1)): National Taiwan University
  • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
  • Foundations for Big Data Analysis with SQL: Cloudera
  • Intellectual Humility: Science: The University of Edinburgh
  • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
  • Data Engineering Capstone Project: IBM
  • Getting Started with Data Analytics on AWS: Amazon Web Services
  • Advanced Python Scripting for Cybersecurity: Infosec
  • Introduction to Linear Algebra and Python: Howard University
  • Practical Deep Learning with Python: Edureka

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