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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


  • U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Visualization, Statistical Programming, Seaborn, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, Python Programming

    ★ 4.7 (2.7K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    ★ 4.9 (32K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft Power BI Data Analyst

    Skills you'll gain: Dashboard Creation, Power BI, Microsoft Excel, Data Analysis, Data Integrity, Data Visualization, Data Storage, Microsoft Power Platform, Data Collection, Data Quality, Business Intelligence, Business Analytics, Advanced Analytics, Generative AI, Data Analysis Software, Statistical Reporting, Analytical Skills, Data Integration, Model Optimization, SQL

    ★ 4.6 (9.2K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: AI skills
    AI skills
    Category: Build toward a degree
    Build toward a degree
  • M

    Meta

    Meta Marketing Science Certification Prep

    Skills you'll gain: Meta Ads Manager, Marketing Analytics, Data-Driven Marketing, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Marketing Strategy and Techniques, Statistical Software, Sampling (Statistics), A/B Testing, Data Collection, Marketing, Analytics, Performance marketing, Web Analytics

    ★ 4.8 (3K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google

    Process Data from Dirty to Clean

    Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Transformation, Data Validation, Analytics, Sample Size Determination, Google Sheets, SQL, Spreadsheet Software

    ★ 4.8 (19K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Introduction to Systematic Review and Meta-Analysis

    Skills you'll gain: Clinical Trials, Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Research Design, Analysis, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis, Statistical Reporting

    ★ 4.8 (3.6K) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation

    ★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Model Optimization, Predictive Analytics, Classification Algorithms

    ★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, PyTorch (Machine Learning Library), Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Prompt Engineering Tools, Vision Transformer (ViT), Keras (Neural Network Library), Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    ★ 4.6 (22K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    IBM Data Management

    Skills you'll gain: Dashboard, Data Warehousing, Data Storytelling, SQL, Data Visualization, Dashboard Creation, Database Design, Data Security, Data Migration, Data Governance, Data Presentation, Descriptive Statistics, IBM DB2, Extract, Transform, Load, Data Management, Relational Databases, Databases, Data Architecture, Excel Formulas, Business Intelligence

    ★ 4.7 (19K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Illinois Urbana-Champaign

    Inferential and Predictive Statistics for Business

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Business Analytics, Statistics, Statistical Analysis, Analytics, Microsoft Excel, Statistical Modeling, Probability & Statistics, Statistical Methods, Predictive Analytics, Statistical Software, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Predictive Modeling

    ★ 4.8 (877) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
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In summary, here are 10 of our most popular statistical inference courses

  • Understanding and Visualizing Data with Python: University of Michigan
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Generative AI for Data Scientists: IBM
  • Microsoft Power BI Data Analyst: Microsoft
  • Meta Marketing Science Certification Prep: Meta
  • Process Data from Dirty to Clean: Google
  • Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
  • Mathematics for Machine Learning: Imperial College London
  • Machine Learning with Python: IBM
  • IBM AI Engineering: IBM

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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