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  • Statistical Inference

Statistical Inference Courses

Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.


Popular Statistical Inference Courses and Certifications


  • J

    Johns Hopkins University

    Exploring Algorithmic Bias as a Policy Issue: A Teach-Out

    Skills you'll gain: Algorithms, Responsible AI, Policy Analysis, Social Justice, Public Policies, Diversity Awareness, Data Ethics, Machine Learning

    Mixed · Course · 1 - 3 Months

  • M

    Microsoft

    Advanced Data Applications and Integration

    Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Cloud Services, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Data Ethics, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply and Predict: Time Series Forecasting in Excel

    Skills you'll gain: Regression Analysis, Time Series Analysis and Forecasting, Forecasting, People Analytics, Trend Analysis, Microsoft Excel, Statistical Modeling, Correlation Analysis, Predictive Analytics, Statistical Analysis, Data Analysis Software, Analytical Skills, Probability & Statistics, Graphing, Climate Change Adaptation, Data Manipulation

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    First Steps in R: Importing and Exporting Data

    Skills you'll gain: Data Import/Export, Microsoft Visual Studio, Microsoft Excel, R Programming, Data Processing, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate R scripts with GitHub Actions: Deploy a model

    Skills you'll gain: Model Deployment, Analytics, R Programming, Google Sheets, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Git (Version Control System), Command-Line Interface

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Introdução à IA e ao machine learning no Google Cloud

    Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Cloud Infrastructure, Big Data, Model Deployment, Natural Language Processing, Machine Learning, Data Preprocessing, Model Evaluation, Predictive Modeling

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • U

    Universitat Politècnica de València

    Introducción a R para ciencia de datos

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular Statistical Inference courses

  • Exploring Algorithmic Bias as a Policy Issue: A Teach-Out: Johns Hopkins University
  • Advanced Data Applications and Integration: Microsoft
  • Apply and Predict: Time Series Forecasting in Excel: EDUCBA
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • First Steps in R: Importing and Exporting Data: Microsoft
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Automate R scripts with GitHub Actions: Deploy a model: Coursera
  • Introdução à IA e ao machine learning no Google Cloud: Google Cloud
  • Machine Learning in Python: Analyze & Apply: EDUCBA

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