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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


  • E

    EDUCBA

    Project on Recommendation Engine - Book Recommender

    Skills you'll gain: Data Preprocessing, Data Transformation, Feature Engineering, Pandas (Python Package), Text Mining, Predictive Modeling, Scikit Learn (Machine Learning Library), Python Programming, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Develop a Movie Recommendation Engine

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming, Predictive Modeling, Development Environment, Data Manipulation, Exploratory Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

    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

  • P

    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning

    Beginner · 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

  • 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

  • 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

    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

  • 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

    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

  • 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

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1…188189190…214

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

  • Project on Recommendation Engine - Book Recommender: EDUCBA
  • Develop a Movie Recommendation Engine: EDUCBA
  • First Steps in R: Importing and Exporting Data: Microsoft
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Machine Learning for Absolute Beginners - Level 1: Packt
  • Advanced Data Applications and Integration: Microsoft
  • Exploring Algorithmic Bias as a Policy Issue: A Teach-Out: Johns Hopkins University
  • Introdução à IA e ao machine learning no Google Cloud: Google Cloud
  • Apply and Predict: Time Series Forecasting in Excel: EDUCBA
  • Tidymodels in R: Building tidy machine learning models: Coursera

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