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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
    C

    Coursera

    Implementation of GenAI Agents

    Skills you'll gain: Generative AI Agents, LangChain, AI Workflows, LLM Application, Agentic systems, Development Environment, Model Evaluation, OpenAI, Artificial Intelligence, Scalability, Applied Machine Learning, Performance Tuning, Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    69 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    离散优化建模基础篇 Basic Modeling for Discrete Optimization

    Skills you'll gain: Applied Mathematics, Operations Research, Mathematical Modeling, Enterprise Modeling, Network Model, Statistical Modeling, Combinatorics, Functional Design, Mathematical Software, Computational Thinking, Graph Theory, Algorithms, Data Structures, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Data Analysis and Visualization with Python

    Skills you'll gain: Matplotlib, File I/O, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Python Programming, Data Processing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Advanced Recommender Systems

    Skills you'll gain: AI Personalization, Applied Machine Learning, Dimensionality Reduction, Feature Engineering, Machine Learning, Model Evaluation, Algorithms, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Opioid Epidemic: From Evidence to Impact

    Skills you'll gain: Substance Abuse, Pain Management, Medical Prescription, Patient Education And Counseling, Pharmacology, Pharmacy, Pharmaceuticals, Chronic Diseases, Epidemiology, Medication Therapy Management, Mental and Behavioral Health, Health Policy, Engineering Design Process, Community Health, Public Health, Trend Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis and Interpretation Capstone

    Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Analysis, Data Visualization, Analytical Skills, Report Writing, Data Science, Data Management, Big Data, Statistical Analysis, Real Time Data, Research, Research Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    47 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Workflow Management, Statistical Analysis, Model Deployment, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Cybersecurity for Data Science

    Skills you'll gain: Data Security, Cybersecurity, Data Ethics, Authentications, Data Encryption Standard, Computer Security Awareness Training, Cryptography, Information Assurance, Cyber Security Policies, Cyber Threat Intelligence, Authorization (Computing), Security Controls, Information Privacy, Encryption, Security Awareness, Human Factors (Security), Risk Analysis, Problem Solving, Communication

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    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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In summary, here are 10 of our most popular applied statistics courses

  • Implementation of GenAI Agents: Coursera
  • 离散优化建模基础篇 Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Data Analysis and Visualization with Python: Arizona State University
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Advanced Recommender Systems: 28DIGITAL
  • Opioid Epidemic: From Evidence to Impact : Johns Hopkins University
  • Data Analysis and Interpretation Capstone: Wesleyan University
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Follow a Machine Learning Workflow: CertNexus

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