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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
    New
    Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Saïd Business School, University of Oxford

    AI Fundamentals in Financial Services

    Skills you'll gain: Financial Services, Artificial Intelligence, FinTech, Financial Regulation, Banking, Fraud detection, Machine Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Data-Driven Decision-Making, Case Studies, Reinforcement Learning, Big Data, Algorithms, Data Management, Customer Service

    4.7
    Rating, 4.7 out of 5 stars
    ·
    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Tableau Learning Partner

    Communicating Data Insights with Tableau

    Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Interactive Data Visualization, Storytelling, Tableau Software, Data-Driven Decision-Making, Data Visualization Software, Business Reporting, Data Analysis, Business Intelligence, Presentations, Exploratory Data Analysis, Stakeholder Engagement

    4.7
    Rating, 4.7 out of 5 stars
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    73 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

    Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, LangChain, Large Language Modeling, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, Technical Management, OpenAI API, Data Ethics, AI Enablement, Trend Analysis, Business Strategy, Python Programming

    4
    Rating, 4 out of 5 stars
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    69 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
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    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Microsoft

    Project Management Principles

    Skills you'll gain: Team Performance Management, Stakeholder Engagement, Systems Thinking, Stakeholder Management, Project Management Institute (PMI) Methodology, Team Management, Project Risk Management, Project Management, Risk Management, Leadership, Governance, Change Management, Problem Solving

    5
    Rating, 5 out of 5 stars
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    44 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    DeepLearning.AI

    الشبكات العصبية والتعلم العميق

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Convolutional Neural Networks, Machine Learning Methods, Applied Machine Learning, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    CertNexus

    CertNexus Certified Data Science Practitioner

    Skills you'll gain: Extract, Transform, Load, Data Analysis, Data Preprocessing, Jupyter, Data Visualization, Unsupervised Learning, Statistical Analysis, Model Evaluation, Exploratory Data Analysis, Data Migration, Machine Learning, Business Analytics, Classification Algorithms, Data Manipulation, Data Cleansing, Data Storytelling, Stakeholder Engagement, Project Scoping, Business Priorities, Business Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    78 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    Tecnológico de Monterrey

    Analizar e incrementar - Parte 1

    Skills you'll gain: Process Analysis, Six Sigma Methodology, Process Improvement, Lean Methodologies, Process Optimization, Operational Analysis, Business Process, Lean Manufacturing, Statistical Analysis, Analysis, Regression Analysis, Continuous Improvement Process, Statistical Methods, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
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    64 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
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    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • AI Fundamentals in Financial Services: Saïd Business School, University of Oxford
  • Communicating Data Insights with Tableau: Tableau Learning Partner
  • Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera
  • Linear Regression Modeling for Health Data: University of Michigan
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Project Management Principles: Microsoft
  • الشبكات العصبية والتعلم العميق: DeepLearning.AI
  • CertNexus Certified Data Science Practitioner: CertNexus
  • Supervised Learning Regression Classification Clustering: Simplilearn

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