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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: Free Trial
    Free Trial
    U

    University of Minnesota

    Analytics Project Ideation

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Simulations, Exploratory Data Analysis, Experimentation, Research Design, Business Analytics, Operations Research, Project Design, Customer Analysis, A/B Testing, Data Mining, Business Analysis, Analytical Skills, Ideation, Advanced Analytics, Applied Machine Learning, Process Mapping, Problem Solving, Critical Thinking

    Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Identify Damaged Car Parts with Vertex AutoML Vision

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Google Cloud Platform, Image Analysis, Model Deployment, Computer Vision, Machine Learning, Cloud Storage, Cloud API

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Statistical Methods, Data Quality, Dimensionality Reduction, Performance Tuning

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Bracketology with Google Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 3

    Skills you'll gain: Model Evaluation, Generative AI, LLM Application, Prompt Engineering, Training Programs, Large Language Modeling, Applied Machine Learning, Open Source Technology, Benchmarking, Artificial Neural Networks

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Créer des pipelines de flux de données sur Google Cloud

    Skills you'll gain: Dataflow, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Real Time Data, Data Processing, Data Warehousing, Big Data, Data Architecture, Applied Machine Learning, Serverless Computing, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Using Custom Fields in Looker Explores

    Skills you'll gain: Looker (Software), Ad Hoc Analysis, Dashboard, Data Analysis, Exploratory Data Analysis, Data Literacy, Database Application

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Project · Less Than 2 Hours

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

    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Social Determinants of Health: Health Care Systems

    Skills you'll gain: Health Equity, Health Disparities, Health Systems, Public Health, Social Determinants Of Health, Healthcare Ethics, Health Policy, Data Analysis, Data Ethics, Substance Abuse, Correlation Analysis, Heat Maps, Community Mental Health Services, Data Visualization, Health Informatics, Trauma Care, Mental Health

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

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

  • Analytics Project Ideation: University of Minnesota
  • Identify Damaged Car Parts with Vertex AutoML Vision: Google Cloud
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Machine Learning with PySpark: Edureka
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Bracketology with Google Machine Learning: Google Cloud
  • H2O ai Large Language Models (LLMs) - Level 3: H2O.ai
  • Créer des pipelines de flux de données sur Google Cloud: Google Cloud
  • Using Custom Fields in Looker Explores: Google Cloud

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