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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


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    Packt

    Data Visualization and Storytelling with Python

    Skills you'll gain: Scientific Visualization, Data Storytelling, Heat Maps, Data Mapping

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Comparable Company Analysis: Apply, Evaluate & Excel

    Skills you'll gain: Business Valuation, Financial Analysis, Financial Modeling, Financial Statement Analysis, Investment Banking, Mergers & Acquisitions, Corporate Finance, Interviewing Skills, Real Estate, Benchmarking, Microsoft Excel

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

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    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Español

    Skills you'll gain: Responsible AI, Data Analysis, Data Modeling, Model Evaluation, Artificial Intelligence, Data Visualization Software, Machine Learning, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Responsible AI for Developers: Fairness & Bias - Italiano

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Machine Learning, Model Evaluation, Data Quality

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Introduction to AI and Machine Learning on GC - Indonesian

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

    Beginner · Course · 1 - 3 Months

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    LearnQuest

    Practical Machine Learning without Coding

    Skills you'll gain: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

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    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets

    Mixed · Course · 1 - 3 Months

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    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 日本語版

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Model Evaluation, Software Visualization, Data Integrity, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Feature Engineering, PySpark, Model Evaluation, Deep Learning, Applied Machine Learning, Generative AI, Large Language Modeling, Transfer Learning, Data Pipelines, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Supervised Learning, Big Data, PyTorch (Machine Learning Library), Machine Learning, Unsupervised Learning, Natural Language Processing, MLOps (Machine Learning Operations), Text Mining

    Mixed · Course · 1 - 3 Months

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    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Italiano

    Skills you'll gain: Data Ethics, Responsible AI, Applied Machine Learning, Model Evaluation, Model Deployment, Machine Learning, Artificial Intelligence, Technical Documentation, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular statistical inference courses

  • Data Visualization and Storytelling with Python: Packt
  • Comparable Company Analysis: Apply, Evaluate & Excel: EDUCBA
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Responsible AI for Developers: Interpretability & Transparency - Español: Google Cloud
  • Responsible AI for Developers: Fairness & Bias - Italiano: Google Cloud
  • Introduction to AI and Machine Learning on GC - Indonesian: Google Cloud
  • Practical Machine Learning without Coding: LearnQuest
  • Google BigQuery for Data and ML Engineers: Pearson
  • Machine Learning with Small Data Part 2: Northeastern University
  • Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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