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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
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Preprocessing, Data Processing, Extract, Transform, Load, Predictive Modeling, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Term-Structure and Credit Derivatives

    Skills you'll gain: Derivatives, Mortgage Loans, Securities (Finance), Credit Risk, Financial Modeling, Risk Modeling, Financial Market, Mathematical Modeling, Securities Trading, Applied Mathematics, Investment Banking, Microsoft Excel, Risk Analysis, Cash Flows, Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 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

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Principles

    Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Quality Improvement, Process Improvement, Quality Management, Team Management, Team Building, Lean Manufacturing, Continuous Improvement Process, Business Process, Production Process, Root Cause Analysis, Decision Making

    4.6
    Rating, 4.6 out of 5 stars
    ·
    332 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Python for Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate Your Data Science Career

    Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Data Visualization, Data Science, Data Synthesis, Data Preprocessing, Data Analysis, Data Manipulation, Model Evaluation, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    252 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Model Evaluation, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    PMP Exam Preparation

    Skills you'll gain: Kanban Principles, Lean Methodologies, Resource Management, Project Controls, Risk Management, Project Management Office (PMO), Project Planning, Organizational Change, Communication Planning, Organizational Structure, Governance, Project Portfolio Management, Scaled Agile Framework, Project Performance, Team Performance Management, Team Management, Stakeholder Management, Management Reporting, Communication, Quality Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    434 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Data Analysis Using Python

    Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Visualization, Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Preprocessing, Data Manipulation, Scatter Plots, NumPy, Exploratory Data Analysis, Jupyter, Data Import/Export, Histogram, Python Programming, Data Structures, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    429 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Essential Linear Algebra for Data Science

    Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    184 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning with Apache Spark: IBM
  • Term-Structure and Credit Derivatives : Columbia University
  • Advanced Embedded Linux Development: University of Colorado Boulder
  • Six Sigma Principles : Kennesaw State University
  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • Python for Data Analytics: DeepLearning.AI
  • Generative AI: Elevate Your Data Science Career: IBM
  • Deep Learning with PyTorch: IBM
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • PMP Exam Preparation: LearnKartS

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