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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


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    U

    Universitat Politècnica de València

    Aplicaciones de la Teoría de Grafos a la vida real I

    Skills you'll gain: Graph Theory, Mathematical Modeling, Applied Mathematics, Algorithms, Graphical Tools, Network Analysis, Network Model, Social Network Analysis, Network Routing, Network Planning And Design

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Executive Data Science

    Skills you'll gain: Data Quality, Exploratory Data Analysis, Data Presentation, Employee Onboarding, Data Management, Statistical Reporting, Team Motivation, Technical Communication, Data Analysis, Project Management, Interviewing Skills, Data Science, New Hire Orientations, Data-Driven Decision-Making, Data Strategy, Organizational Leadership, Team Management, Data Literacy, Leadership, Communication

    4.5
    Rating, 4.5 out of 5 stars
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    11K reviews

    Beginner · Specialization · 1 - 3 Months

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    J

    John Wiley & Sons

    Excel All-in-One For Dummies

    Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Spreadsheet Software, Pivot Tables And Charts, Data Presentation, Proofreading, Data Visualization, Editing, Financial Forecasting, Financial Modeling, Productivity Software, Consolidation, Data Analysis, Data Validation, Trend Analysis, Data Entry, Diagram Design, Visual Basic (Programming Language), Automation

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    626 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Semiconductor Devices

    Skills you'll gain: Semiconductors, Electrical Engineering, Electronic Systems, Electronic Components, Materials science, Electrical and Computer Engineering, Electronics Engineering, Electronics, Physics, Mathematical Modeling, Applied Mathematics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    621 reviews

    Advanced · Specialization · 1 - 3 Months

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    P

    Packt

    Intermediate Data Structures & Algorithmic Patterns

    Skills you'll gain: Data Structures, Algorithms, Python Programming, Computer Programming, Geometry, Data Manipulation, Data Management, Data Analysis, Applied Mathematics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    R

    Rice University

    Medical Terminology I

    Skills you'll gain: Medical Terminology, Human Musculoskeletal System, Orthopedics, Medical History Documentation, Medical Records, Electronic Medical Record System, Urology, Health Information Management and Medical Records, Anatomy, Diagnostic Tests, General Medicine, Physiology

    4.9
    Rating, 4.9 out of 5 stars
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    792 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Toronto

    GIS, Mapping, and Spatial Analysis

    Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Data Mapping, Metadata Management, Query Languages, Data Manipulation, Data Synthesis, Data Visualization, Quantitative Research, Data Compilation, Data Access, Interactive Data Visualization, Data Processing, Typography, Data Wrangling

    4.8
    Rating, 4.8 out of 5 stars
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    3.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    DeepLearning.AI

    Building Multimodal Data Pipelines

    Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, Embeddings, Large Language Modeling, Generative AI, Data Processing, Data Pipelines, Image Analysis, Prompt Engineering, Unstructured Data, Natural Language Processing, Text Mining, Computer Vision, Vector Databases, Data Capture, Sampling (Statistics)

    Intermediate · Project · Less Than 2 Hours

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    Packt

    Data Science with Python

    Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Machine Learning Methods, Python Programming, Applied Machine Learning, Scatter Plots, Numerical Analysis, Data Manipulation, Deep Learning, Image Analysis, Linear Algebra, Data Wrangling

    Intermediate · Course · 1 - 3 Months

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    N

    Northeastern University

    Generative AI Part 1

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Model Optimization, Bayesian Network, Machine Learning Methods, Natural Language Processing, Model Training, Probability & Statistics, Probability Distribution

    Intermediate · Course · 1 - 3 Months

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

  • Aplicaciones de la Teoría de Grafos a la vida real I: Universitat Politècnica de València
  • Executive Data Science: Johns Hopkins University
  • Excel All-in-One For Dummies: John Wiley & Sons
  • The Nuts and Bolts of Machine Learning: Google
  • Semiconductor Devices: University of Colorado Boulder
  • Intermediate Data Structures & Algorithmic Patterns: Packt
  • Medical Terminology I: Rice University
  • GIS, Mapping, and Spatial Analysis: University of Toronto
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Building Multimodal Data Pipelines: DeepLearning.AI

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