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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.


More to explore:

Popular Statistical Inference Courses and Certifications


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    SAS

    Responsible Innovation and Trustworthy AI

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Regulatory Compliance, Artificial Intelligence, Business Ethics, Risk Analysis, SAS (Software), Compliance Training, Data Integrity, Human Centered Design, Accountability, Analytics, Diversity and Inclusion, Information Privacy, Data Governance, Data Analysis, Data Management, Model Deployment

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Python: Master House Price Prediction with Linear Regression

    Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Analyze Customer Reviews with Gemini Using Python Notebooks

    Skills you'll gain: Google Gemini, Google Cloud Platform, Customer Analysis, Cloud Management, Applied Machine Learning, Jupyter, Cloud Applications, LLM Application, Text Mining, Machine Learning, Business Reporting, SQL

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Using Beam ML to catch Toxicity in Gaming

    Skills you'll gain: Real Time Data, Dataflow, Scalability, Data Pipelines, Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning

    Intermediate · Project · Less Than 2 Hours

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    University of Glasgow

    6G Deployment: Testbeds, Antenna Systems & Digital Twins

    Skills you'll gain: Wireless Networks, Emerging Technologies, Communication Systems, Digital Communications, Internet Of Things, Telecommunications, electromagnetics, Network Architecture, Software-Defined Networking, Zero Trust Network Access, Digital Transformation, Interoperability, Electronics Engineering, Distributed Computing, Development Testing, Electrical Engineering, Artificial Intelligence and Machine Learning (AI/ML), Information Technology, Machine Learning, Trustworthiness

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Production & Operations: Apply, Analyze & Optimize

    Skills you'll gain: Manufacturing Operations, Production Management, Production Planning, Production Process, Operations Management, Inventory Control, Quality Control, Scheduling, Inventory Management System, Operational Efficiency, Lean Manufacturing, Material Requirements Planning, Quality Management, Project Management, Statistical Process Controls, Facility Management, Resource Allocation

    Mixed · Course · 1 - 3 Months

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    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

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    Packt

    Building AI-Powered Application with .NET

    Skills you'll gain: .NET Framework, Machine Learning Algorithms, Model Deployment, Machine Learning, AI Enablement, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), C# (Programming Language), Microsoft Visual Studio, Development Environment, Microsoft Development Tools, Responsible AI, Model Evaluation, Computer Vision

    Intermediate · Course · 1 - 3 Months

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    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Credit Derivatives: Analyze, Price & Apply

    Skills you'll gain: Credit Risk, Derivatives, Finance, Case Studies, Financial Analysis, Risk Analysis, Financial Modeling, Portfolio Risk, Financial Market, Risk Management, Capital Markets, Mathematical Modeling, Probability

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

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

  • Responsible Innovation and Trustworthy AI : SAS
  • Python: Master House Price Prediction with Linear Regression: EDUCBA
  • Analyze Customer Reviews with Gemini Using Python Notebooks: Google Cloud
  • Using Beam ML to catch Toxicity in Gaming: Google Cloud
  • 6G Deployment: Testbeds, Antenna Systems & Digital Twins: University of Glasgow
  • Natural Language Processing - Probability Models in Python: Packt
  • Production & Operations: Apply, Analyze & Optimize: EDUCBA
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • Building AI-Powered Application with .NET: Packt
  • Generative AI Using SAS: SAS

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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