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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


  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Unstructured Data, Machine Learning Algorithms, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI、機械学習、ディープラーニングのための TensorFlow 入門

    Skills you'll gain: Tensorflow, Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Neural Networks, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    L

    LearnQuest

    AI 알고리즘 모델과 한계점

    Skills you'll gain: Predictive Modeling, Model Training, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Algorithms, Machine Learning Methods, Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Model Evaluation, AI literacy, Model Optimization, Ethical Standards And Conduct

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Model Optimization, Machine Learning Methods, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Model Training, Network Architecture, NumPy, Performance Tuning

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP 日本語版

    Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Data Pipelines, Cloud API, Model Training, Machine Learning, Jupyter, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Seaborn with Python: Data Visualization for Beginners

    Skills you'll gain: Seaborn, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Visualization, Data Presentation, Data Visualization Software, Interactive Data Visualization, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, AI literacy, Data Ethics, Data Quality, AI Integrations, Applied Machine Learning, Data Synthesis, Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Gestion de l’analyse des données

    Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Statistical Reporting, Data Modeling, Data Presentation, Descriptive Analytics, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Communication Strategies, Communication

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    DevOps Foundation (Linux & Systems) - Hands-On

    Skills you'll gain: Bash (Scripting Language), Ansible, Linux Administration, Linux Servers, Infrastructure as Code (IaC), Web Servers, Linux Commands, Nginx, Operating System Administration, Firewall, IT Automation, PostgreSQL, Application Deployment, Apache, Security Controls, Databases, DevOps, Debugging, Network Troubleshooting, Git (Version Control System)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Model Optimization, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Model Training, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, Data Preprocessing, Dimensionality Reduction

    3.7
    Rating, 3.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Khalifa University

    AI for Executives: The Basics

    Skills you'll gain: Data Strategy, Data Management, Model Deployment, Data Governance, Model Evaluation, Transfer Learning, Data Quality, Model Training, AI Enablement, Decision Intelligence, Data-Driven Decision-Making, Data Literacy, Artificial Intelligence and Machine Learning (AI/ML), Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, AI Product Strategy, Statistical Machine Learning, Predictive Analytics, Applied Machine Learning

    Beginner · Course · 1 - 3 Months

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

  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • AI、機械学習、ディープラーニングのための TensorFlow 入門: DeepLearning.AI
  • AI 알고리즘 모델과 한계점: LearnQuest
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
  • Seaborn with Python: Data Visualization for Beginners: EDUCBA
  • GenAI for Data Scientists: Coursera
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Gestion de l’analyse des données: Johns Hopkins University
  • DevOps Foundation (Linux & Systems) - Hands-On: KodeKloud

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