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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


  • J

    Johns Hopkins University

    Ein Crashkurs in Datenwissenschaft

    Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data Analysis, Data-Driven Decision-Making, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Codio

    Visualizing Data & Communicating Results in R with RStudio

    Skills you'll gain: Rmarkdown, Plot (Graphics), Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, Graphing, R Programming, Data Science

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    Skills you'll gain: Logistic Regression, Model Evaluation

    5
    Rating, 5 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Customer Segmentation with K-Means: Model & Visualize

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Lean Six Sigma: Define, Analyze & Improve

    Skills you'll gain: Lean Six Sigma, Process Mapping, Quality Improvement, Root Cause Analysis, Process Improvement, Strategic Leadership, Business Leadership, Organizational Change, Change Management, Descriptive Statistics, Continuous Improvement Process, Performance Measurement, Business Priorities, Statistical Analysis, Process Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    General AI Mastery Toolbox: Master AI and Drive Success

    Skills you'll gain: OpenAI, AI Enablement, Artificial Intelligence, AI Product Strategy, Generative AI, Emerging Technologies, ChatGPT, Responsible AI, Machine Learning, Natural Language Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    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
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Clemson University

    Human-Centered Artificial Intelligence

    Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Human Centered Design, Human Computer Interaction, Generative AI, Machine Learning, Model Evaluation, Ethical Standards And Conduct

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

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1…154155156…214

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

  • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
  • PyCaret: Anatomy of Regression: Coursera
  • Visualizing Data & Communicating Results in R with RStudio: Codio
  • SPSS: Apply & Interpret Logistic Regression Models: EDUCBA
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Customer Segmentation with K-Means: Model & Visualize: EDUCBA
  • Lean Six Sigma: Define, Analyze & Improve: EDUCBA
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Applied Machine Learning with Python: Edureka
  • General AI Mastery Toolbox: Master AI and Drive Success: Coursera

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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