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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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    Khalifa University

    AI for Executives: The Basics

    Skills you'll gain: Data Strategy, Model Deployment, Data Governance, Model Evaluation, Transfer Learning, Data Quality, Data-Driven Decision-Making, Business Leadership, Predictive Analytics, Machine Learning, Strategic Decision-Making, Artificial Intelligence, Large Language Modeling, Classification Algorithms, Regression Analysis, Decision Tree Learning

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Matplotlib: Python Data Visualization & Wrangling

    Skills you'll gain: Matplotlib, Data Storytelling, Data Presentation, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Data Preprocessing, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Scatter Plots, Histogram, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Image Quality, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Beginner · Specialization · 1 - 3 Months

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    Macquarie University

    Cyber Security: Application of AI

    Skills you'll gain: Anomaly Detection, AI Security, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Intrusion Detection and Prevention, Fraud detection, Cybersecurity, Applied Machine Learning, Malware Protection, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Network Analysis, Machine Learning, Machine Learning Algorithms, Model Evaluation, Artificial Neural Networks, MLOps (Machine Learning Operations), Data-Driven Decision-Making

    Intermediate · Course · 1 - 3 Months

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    University of Glasgow

    6G for a Connected Future

    Skills you'll gain: Federated Learning, Wireless Networks, Emerging Technologies, Digital Communications, Communication Systems, Blockchain, Internet Of Things, Network Security, Telecommunications, Network Performance Management, Network Planning And Design, Zero Trust Network Access, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Network Analysis, Information Technology, Electronics Engineering, Machine Learning, Trustworthiness

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Tidy Messy Data using tidyr in R

    Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Northeastern University

    Foundations in Human-Centered AI

    Skills you'll gain: Responsible AI, Human Centered Design, Human Computer Interaction, Generative AI, Interaction Design, User Interface (UI), Data Ethics, Artificial Intelligence, Conceptual Design, Machine Learning, Deep Learning

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Mixed · Course · 1 - 4 Weeks

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    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Machine Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Data Preprocessing, Statistical Methods, Python Programming, Linear Algebra, Algorithms

    Mixed · Course · 1 - 3 Months

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    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    GenAI for Business Intelligence Analysts

    Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Responsible AI, Business Process Automation, Data-Driven Decision-Making, Data Ethics, Data Storytelling, Data Literacy, Exploratory Data Analysis, Machine Learning, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    EDUCBA

    DP-100 Microsoft Azure DS Exam

    Skills you'll gain: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Application Deployment, Data Store, Data Management, Virtual Machines, Cloud Infrastructure, Machine Learning Algorithms, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
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    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Data Preprocessing, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Model Deployment, Dataflow, Performance Tuning, Artificial Neural Networks, MLOps (Machine Learning Operations)

    4.2
    Rating, 4.2 out of 5 stars
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    30 reviews

    Intermediate · Specialization · 3 - 6 Months

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    University of Michigan

    파이썬의 데이터 과학 소개

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

Searches related to statistical inference

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

  • AI for Executives: The Basics: Khalifa University
  • Matplotlib: Python Data Visualization & Wrangling: EDUCBA
  • Cyber Security: Application of AI: Macquarie University
  • 6G for a Connected Future: University of Glasgow
  • Tidy Messy Data using tidyr in R: Coursera
  • Foundations in Human-Centered AI: Northeastern University
  • 머신 러닝: 회귀 모델: University of Washington
  • Deep Learning with Real-World Projects: Packt
  • GenAI for Business Intelligence Analysts: Coursera
  • DP-100 Microsoft Azure DS Exam: EDUCBA

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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