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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: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, File Systems, Linux, Scripting, Command-Line Interface, Performance Tuning, Programming Principles, Computer Architecture

    Build toward a degree

    3.7
    Rating, 3.7 out of 5 stars
    ·
    150 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    90 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Tensorflow, Dataflow, Google Cloud Platform, Data Pipelines, Data Import/Export, Feature Engineering, Real Time Data, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Data Warehousing, Extract, Transform, Load, Model Deployment, Big Data, Data Infrastructure, Data Migration, Unstructured Data, MLOps (Machine Learning Operations), PySpark

    4.4
    Rating, 4.4 out of 5 stars
    ·
    289 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Generative AI, Fraud detection, Intrusion Detection and Prevention, Model Evaluation, Malware Protection, Cyber Threat Hunting, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Applied Machine Learning, Email Security, Network Security, Jupyter

    4.3
    Rating, 4.3 out of 5 stars
    ·
    100 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Advanced Embedded Linux Development

    Skills you'll gain: Agile Methodology, Scrum (Software Development), System Programming, Embedded Software, Software Testing, Embedded Systems, Linux, Agile Software Development, Docker (Software), Git (Version Control System), File I/O, Linux Commands, Linux Servers, System Software, Linux Administration, Operating Systems, Bash (Scripting Language), Shell Script, C++ (Programming Language), Real-Time Operating Systems

    4.3
    Rating, 4.3 out of 5 stars
    ·
    165 reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    372 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Mécanique de Newton

    Skills you'll gain: Differential Equations, Mechanics, Logical Reasoning, Scientific Methods, Engineering Analysis, Physics, Calculus, Mathematical Modeling, Geometry, Applied Mathematics, Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    113 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    GIS Data Acquisition and Map Design

    Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Data Mapping, Spatial Data Analysis, Data Visualization, Metadata Management, Quantitative Research, Spatial Analysis, Typography, Data Manipulation, Data Modeling, Design Elements And Principles, Data Import/Export

    4.9
    Rating, 4.9 out of 5 stars
    ·
    719 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 1)

    Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Product Analytics and AI

    Skills you'll gain: Customer Analysis, Analytics, Business Analytics, Demand Planning, Usability Testing, Product Management, Customer Insights, A/B Testing, Agile Methodology, User Experience, Data-Driven Decision-Making, Predictive Analytics, Data Science, Product Testing, Agile Software Development, Software Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    500 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Exploratory Data Analysis With Python and Pandas

    Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    442 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad: principios de Inferencia

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    3.1
    Rating, 3.1 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
  • AI for Cybersecurity: Johns Hopkins University
  • Advanced Embedded Linux Development: University of Colorado Boulder
  • NLP: Twitter Sentiment Analysis: Coursera
  • Mécanique de Newton: École Polytechnique Fédérale de Lausanne
  • GIS Data Acquisition and Map Design: University of Toronto
  • Principles of Computing (Part 1): Rice University
  • Product Analytics and AI: University of Virginia

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