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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: New
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    E

    EDUCBA

    Apply OpenGL Texturing and Camera Systems

    Skills you'll gain: Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    N
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Logical Operations

    Tableau Mastery

    Skills you'll gain: Tableau Software, Data Visualization Software, Data Storytelling, Data Analysis, Report Writing, Spreadsheet Software, Data Visualization, Dashboard, Trend Analysis, Interactive Data Visualization, Data Presentation, Microsoft Excel, Statistical Analysis, Predictive Analytics, Data Transformation, Microsoft Office, Microsoft PowerPoint, Productivity Software, Forecasting, Data Management

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    T

    Technical University of Munich (TUM)

    Advanced Lean Production & Continuous Improvement

    Skills you'll gain: Lean Manufacturing, Quality Improvement, Production Schedule, Production Process, Kaizen Methodology, Quality Management, Production Management, Continuous Improvement Process, Lean Methodologies, Lean Six Sigma, Process Improvement, Scheduling, Quality Control, Operational Efficiency, Process Analysis, Business Process Management, Kanban Principles, Workflow Management, Capacity Management

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Graphing, Data Analysis, Statistical Analysis, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    6.1K reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    SAS

    SAS Programmer

    Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Validation, Statistical Analysis, Statistical Programming, Data Processing, Data Preprocessing, Data Integration, Data Cleansing, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Rice University

    Medical Terminology I

    Skills you'll gain: Medical Terminology, Human Musculoskeletal System, Orthopedics, Medical Records, Electronic Medical Record System, Urology, Anatomy, Physiology

    4.9
    Rating, 4.9 out of 5 stars
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    773 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    EDUCBA

    Analyze Fraud Using Data Analytics and R

    Skills you'll gain: Fraud detection, Anomaly Detection, R Programming, Credit Risk, Applied Machine Learning, Analytical Skills, Machine Learning Methods, Threat Detection, Unsupervised Learning, Risk Analysis, Advanced Analytics, Analytics, Predictive Analytics, Data-Driven Decision-Making, Supervised Learning, Big Data

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    EDUCBA

    Apply New Features in Premiere Pro CC

    Skills you'll gain: Content Creation, Music

    Beginner · Course · 1 - 4 Weeks

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

  • Apply OpenGL Texturing and Camera Systems: EDUCBA
  • Machine Learning for Trading: Google Cloud
  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Tableau Mastery: Logical Operations
  • Advanced Lean Production & Continuous Improvement: Technical University of Munich (TUM)
  • Exploratory Data Analysis: Johns Hopkins University
  • Systematic ML Optimization: Coursera
  • SAS Programmer: SAS
  • Medical Terminology I: Rice University
  • Analyze Fraud Using Data Analytics and R: EDUCBA

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