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  • Statistical Analysis

Statistical Analysis Courses

Statistical analysis courses can help you learn data collection methods, hypothesis testing, regression analysis, and data visualization techniques. You can build skills in interpreting results, making predictions, and drawing conclusions from data sets. Many courses introduce tools such as R, Python, and Excel, that support performing statistical computations and creating visual representations of data.


Popular Statistical Analysis Courses and Certifications


  • Status: Free Trial
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    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Graph Theory, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Advanced · Specialization · 3 - 6 Months

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    C

    Coursera

    Digital Marketing Channel Foundations

    Skills you'll gain: Keyword Research, Canva (Software), Search Engine Optimization, Social Media Management, Brand Strategy, Content Marketing, Web Analytics and SEO, Marketing Effectiveness, Copywriting, Social Media, Social Media Content, Social Media Marketing, Branding, Campaign Management, Content Strategy, Brand Awareness, Paid media, Email Automation, Key Performance Indicators (KPIs), Communication

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    R

    Rutgers the State University of New Jersey

    Supply Chain Analytics

    Skills you'll gain: Competitive Intelligence, Demand Planning, Strategic Sourcing, Competitive Analysis, Customer Demand Planning, Data Storytelling, Procurement, Supplier Management, Supply Chain, Regression Analysis, Supplier Performance Management, Inventory Control, Business Analytics, Data Collection, Supply Management, Supply Chain Management, Business Intelligence, Materials Management, Strategic Decision-Making, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    2.3K reviews

    Beginner · Specialization · 3 - 6 Months

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    C

    Coursera

    Plan Analytics Projects

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Huddersfield

    Integral Calculus & The Fundamental Theorem

    Skills you'll gain: Integral Calculus, Differential Equations, Calculus, Analytical Skills, Advanced Mathematics, Mathematical Theory & Analysis, Engineering Calculations, Engineering Analysis, Trigonometry, General Mathematics, Applied Mathematics, Mathematical Modeling, Derivatives

    Intermediate · Course · 1 - 4 Weeks

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    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Skills you'll gain: Bayesian Statistics, Mathematical Theory & Analysis, Arithmetic, Advanced Mathematics, Deductive Reasoning

    Beginner · Course · 1 - 3 Months

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    P

    Pontificia Universidad Católica del Perú

    Design Thinking - Parte 1: Descubre tu solución de negocio con IA Generativa

    Skills you'll gain: Design Thinking, Competitive Analysis, Human Centered Design, User Research, Needs Assessment, Generative AI, Social Impact, AI Enablement, Market Analysis, Strategic Decision-Making, Innovation, Business Analysis, Persona Development

    Mixed · Course · 1 - 3 Months

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    E

    EDUCBA

    Analyze and Apply Six Sigma and Lean Principles

    Skills you'll gain: Lean Six Sigma, Process Analysis, Six Sigma Methodology, Lean Manufacturing, Lean Methodologies, Process Improvement, Quality Improvement, Process Mapping, Operational Excellence, Kaizen Methodology, Operational Efficiency, Continuous Improvement Process, Leadership, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Generative Adversarial Networks (GANs), Embeddings, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning, Applied Machine Learning, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
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    967 reviews

    Intermediate · Specialization · 3 - 6 Months

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    C

    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Grafana, Performance Metric, Data Pipelines, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Experimentation, Performance Testing, Benchmarking, Performance Analysis, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Calibrate and Serve Confident AI Predictions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Data Pipelines, Responsible AI, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular statistical analysis courses

  • Self-Driving Cars: University of Toronto
  • Digital Marketing Channel Foundations: Coursera
  • Supply Chain Analytics: Rutgers the State University of New Jersey
  • Plan Analytics Projects: Coursera
  • Integral Calculus & The Fundamental Theorem: University of Huddersfield
  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Design Thinking - Parte 1: Descubre tu solución de negocio con IA Generativa: Pontificia Universidad Católica del Perú
  • Analyze and Apply Six Sigma and Lean Principles: EDUCBA
  • Generative AI Engineering with LLMs: IBM
  • Evaluate and Create ML Workflows Visually: Coursera

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