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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.


Popular Applied Statistics Courses and Certifications


  • Status: New
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    Coursera

    Automate, Optimize, and Benchmark Data Pipelines

    Skills you'll gain: Performance Analysis, Performance Testing, Performance Measurement, Benchmarking, Data Modeling, Data Processing, Extract, Transform, Load, Data-Driven Decision-Making, Statistical Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    P

    Packt

    Advanced Python Techniques for Data Science & AI

    Skills you'll gain: Plotly, Pandas (Python Package), Interactive Data Visualization, Data Analysis, Data Visualization Software, Restful API, Application Programming Interface (API), Python Programming, Data Manipulation, Data Transformation, Data Preprocessing, Data Structures, Text Mining

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Glasgow

    Generative AI for Data Science

    Skills you'll gain: Responsible AI, Generative AI, Data Ethics, ChatGPT, Data Science, LLM Application, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Security, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

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    Logical Operations

    Data Analysis and Visualization with Microsoft Excel

    Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Excel Formulas, Data Transformation, Data Presentation, Microsoft Excel, Data Visualization, Sampling (Statistics), Dashboard, Data Visualization Software, Spreadsheet Software, Report Writing, Pivot Tables And Charts, Data Analysis, Statistical Analysis, Data Cleansing, Microsoft Office, Geospatial Mapping, Microsoft 365, Productivity Software

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Performance Tuning, Applied Machine Learning, Deep Learning, Vision Transformer (ViT), Tensorflow, Cloud Computing, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision

    Advanced · Specialization · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 1 - Functions

    Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

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    Pragmatic AI Labs

    Fine-Tuning Transformers with Hugging Face

    Skills you'll gain: CI/CD, Hugging Face, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Transfer Learning, Data Preprocessing, Model Deployment, Large Language Modeling, Data Pipelines, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    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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    774 reviews

    Beginner · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

    4.8
    Rating, 4.8 out of 5 stars
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    656 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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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

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1…545556…270

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

  • Automate, Optimize, and Benchmark Data Pipelines: Coursera
  • Advanced Python Techniques for Data Science & AI: Packt
  • Generative AI for Data Science: University of Glasgow
  • Data Analysis and Visualization with Microsoft Excel: Logical Operations
  • Natural Language Processing in TensorFlow: DeepLearning.AI
  • Deep Learning Engineering: Coursera
  • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
  • Fine-Tuning Transformers with Hugging Face: Pragmatic AI Labs
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • Medical Terminology I: Rice University

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