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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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    U

    University of Michigan

    Llama for Python Programmers

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON

    4.7
    Rating, 4.7 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Toronto

    Plant Bioinformatics Capstone

    Skills you'll gain: Network Analysis, Bioinformatics, Analysis, Data Synthesis, Statistical Methods, Technical Communication, Data Collection

    4.8
    Rating, 4.8 out of 5 stars
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    32 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Data Visualization using Plotnine and ggplot

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    U

    University of Michigan

    The Total Data Quality Framework

    Skills you'll gain: Data Quality, Data Collection, Data Management, Data Validation, Data Analysis, Data Preprocessing, Threat Detection, Data Access, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
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    48 reviews

    Beginner · Course · 1 - 4 Weeks

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    E

    EDUCBA

    Quantitative Finance with SAS: Apply, Analyze & Evaluate

    Skills you'll gain: SAS (Software), Descriptive Statistics, Market Data, Risk Modeling, Regression Analysis, Statistical Methods, Financial Modeling, Statistical Hypothesis Testing, Correlation Analysis, Data Analysis Software, Statistical Analysis, Quantitative Research, Financial Market, Time Series Analysis and Forecasting, Trend Analysis, Financial Analysis, Variance Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    12 reviews

    Mixed · Course · 1 - 4 Weeks

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    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    342 reviews

    Mixed · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    Publishing Visualizations in R with Shiny and flexdashboard

    Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, Data Sharing, UI Components, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
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    70 reviews

    Mixed · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Pillar #3: Drug Effectiveness - Real-World Evidence

    Skills you'll gain: Clinical Research, Clinical Trials, Pharmacology, Data Collection, Epidemiology, Scientific Methods, Statistical Methods, Analytical Skills, Regression Analysis, Real Time Data

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Mixed · Course · 1 - 4 Weeks

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    S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    9 reviews

    Advanced · Course · 1 - 4 Weeks

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    S

    Simplilearn

    Lean Management and Six Sigma Green Belt Program

    Skills you'll gain: Lean Manufacturing, Lean Six Sigma, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Failure Mode And Effects Analysis, Kaizen Methodology, Process Optimization, Quality Improvement, Operational Efficiency, Process Improvement, Performance Measurement, Manufacturing Operations, Quality Management, Operational Excellence, Business Process, Statistical Analysis, Performance Metric, Waste Minimization, Kanban Principles

    4.5
    Rating, 4.5 out of 5 stars
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    18 reviews

    Beginner · Specialization · 1 - 3 Months

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    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    IA Para Todos (Português)

    Skills you'll gain: AI Product Strategy, Business Strategy, Artificial Intelligence, Data Ethics, Responsible AI, Data Science, Machine Learning, Artificial Neural Networks, Deep Learning

    4.9
    Rating, 4.9 out of 5 stars
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    24 reviews

    Beginner · 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

  • Llama for Python Programmers: University of Michigan
  • Plant Bioinformatics Capstone: University of Toronto
  • Data Visualization using Plotnine and ggplot: Coursera
  • The Total Data Quality Framework: University of Michigan
  • Quantitative Finance with SAS: Apply, Analyze & Evaluate: EDUCBA
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
  • Pillar #3: Drug Effectiveness - Real-World Evidence: Johns Hopkins University
  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • Lean Management and Six Sigma Green Belt Program: Simplilearn

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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