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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


  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    3.9
    Rating, 3.9 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Data mining of Clinical Databases - CDSS 1

    Skills you'll gain: Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Analytics, Relational Databases, Patient Flow, Exploratory Data Analysis, Descriptive Statistics, Predictive Analytics, Predictive Modeling, SQL, Interoperability, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Genentech

    Making Data Science Work for Clinical Reporting

    Skills you'll gain: Clinical Data Management, Clinical Research, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Fundamentals of Data Analysis

    Skills you'll gain: Data Analysis, Analytics, Statistical Analysis, Data Mining, Spreadsheet Software, Exploratory Data Analysis, Descriptive Analytics, Quantitative Research, Data Cleansing, Data Processing, Data Collection, Statistics, R (Software), Predictive Analytics, Query Languages, Data Visualization, Data Visualization Software, SQL

    3.7
    Rating, 3.7 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Conducting Exploratory Data Analysis

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • M

    MongoDB Inc.

    MongoDB Aggregation Framework

    Skills you'll gain: Data Transformation, MongoDB, Data Manipulation, NoSQL, Data Migration, Data Analysis, Query Languages, Data Preprocessing, Data Structures, Network Analysis, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Data mining of Clinical Databases - CDSS 1: University of Glasgow
  • Practical Machine Learning on H2O: H2O.ai
  • Making Data Science Work for Clinical Reporting: Genentech
  • Fundamentals of Data Analysis: LearnQuest
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • Hyperparameter Tuning with Keras Tuner: Coursera
  • Conducting Exploratory Data Analysis: Coursera
  • MongoDB Aggregation Framework: MongoDB Inc.

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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