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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


  • G

    Google Cloud

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    Skills you'll gain: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Cloud Computing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Cloud Management, Cloud Storage, Data Management

    Intermediate · Project · Less Than 2 Hours

  • P

    Packt

    Project Management Best Practices using Agile and Scrum

    Skills you'll gain: Sprint Retrospectives, Agile Methodology, Agile Project Management, Change Management, Agile Software Development, Organizational Change, Team Management, Team Building, Leadership Studies, Sprint Planning, Project Management Software, Continuous Improvement Process, Communication

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    E

    EDUCBA

    Univariate Time Series Analytics & Modeling with EViews

    Skills you'll gain: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Software, Statistical Analysis, Model Evaluation, Plot (Graphics)

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Machine Learning and Emerging Technologies in Cybersecurity

    Skills you'll gain: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    P

    Packt

    DevOps to MLOps Bootcamp– Build & Deploy ML Systems

    Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    E

    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

    Skills you'll gain: Prompt Engineering, Embeddings, Transfer Learning, Large Language Modeling, Small Data, Fraud detection, Applied Machine Learning, Model Evaluation, Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    A

    AI CERTs

    Blockchain for Leaders

    Skills you'll gain: Blockchain, Business Leadership, FinTech, Strategic Leadership, Leadership, Business Transformation, Emerging Technologies, Business, Health Technology, Regulatory Compliance, Business Planning, Legal Risk, Supply Chain Management, Compliance Management, Payment Systems, Cloud Computing, Cryptography, Distributed Computing, Cloud Computing Architecture, Artificial Intelligence

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Using Beam ML to catch Toxicity in Gaming

    Skills you'll gain: Real Time Data, Dataflow, Scalability, Data Pipelines, Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning

    Intermediate · Project · Less Than 2 Hours

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

  • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
  • Project Management Best Practices using Agile and Scrum: Packt
  • Univariate Time Series Analytics & Modeling with EViews: EDUCBA
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Credit Default Prediction with Python: Apply & Analyze: EDUCBA
  • Zero-Shot & Few-Shot Learning: Master AI with Minimal Data: Coursera

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