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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

    University of Lausanne

    HEALTHY URBAN SYSTEMS - PART 1

    Skills you'll gain: Health Policy, Geographic Information Systems, Public Health, Case Studies, Health Systems, Spatial Analysis, Systems Thinking, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Management, Emerging Technologies

    Beginner · Course · 1 - 3 Months

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    E

    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation

    Mixed · Course · 1 - 4 Weeks

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    G

    Google Cloud

    Introduction to Image Generation - Français

    Skills you'll gain: Generative AI, Model Deployment, Generative Model Architectures, Google Cloud Platform, Image Analysis, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    U

    Universidad Nacional Autónoma de México

    Python: de explorador de datos a analista

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Data Science, Data Visualization Software, Python Programming, Big Data, Jupyter, Scripting, Program Development, Data Manipulation, Software Installation, Development Environment

    3.8
    Rating, 3.8 out of 5 stars
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    9 reviews

    Mixed · Course · 1 - 3 Months

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    P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

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    U

    Universidades Anáhuac

    Ciencia de Datos Aplicada al Marketing

    Skills you'll gain: Data Processing, Data Analysis, Regression Analysis, SPSS, Marketing Analytics, Market Research, Business Intelligence, Statistical Analysis, Data Mining, Data-Driven Decision-Making, Statistical Methods, Exploratory Data Analysis, Market Analysis, Consumer Behaviour, Microsoft Excel

    Beginner · Course · 1 - 3 Months

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    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    Améliorez les réseaux neuronaux profonds

    Skills you'll gain: Deep Learning, Tensorflow, Model Evaluation, Applied Machine Learning, Artificial Neural Networks, Machine Learning Methods, Performance Tuning, Machine Learning, Data Validation, Debugging, Algorithms

    Beginner · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Structurer des projets d’apprentissage automatique

    Skills you'll gain: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Data Science, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Maryland, College Park

    Cómo manejar datos faltantes

    Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling

    Mixed · Course · 1 - 3 Months

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

  • HEALTHY URBAN SYSTEMS - PART 1: University of Lausanne
  • Machine Learning with Python: Diabetes Prediction: EDUCBA
  • Introduction to Image Generation - Français: Google Cloud
  • Python: de explorador de datos a analista: Universidad Nacional Autónoma de México
  • RNN Architecture and Sentiment Classification: Packt
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Ciencia de Datos Aplicada al Marketing: Universidades Anáhuac
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
  • Améliorez les réseaux neuronaux profonds: DeepLearning.AI

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