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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.


More to explore:

Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    IoT Communications

    Skills you'll gain: Internet Of Things, Telecommunications, Communication Systems, Distributed Computing, Wireless Networks, General Networking, Network Routing, Embedded Software, Network Protocols

    4.7
    Rating, 4.7 out of 5 stars
    ·
    69 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Analyze Website Visitors with Google Analytics Segments

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Customer Insights, Analysis, Target Audience, Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    124 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Toronto

    Data Visualization for Genome Biology

    Skills you'll gain: Scientific Visualization, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Ggplot2, Visualization (Computer Graphics), R (Software), Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Exploratory Data Analysis, Heat Maps, Molecular Biology, Design Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Capstone Project: Applying Business Analysis Skills

    Skills you'll gain: Risk Mitigation, Business Process Modeling, Stakeholder Analysis, Risk Analysis, Project Scoping, Stakeholder Management, Process Flow Diagrams, Risk Management, Work Breakdown Structure, Stakeholder Engagement, Scope Management, Business Requirements, Presentations, Requirements Elicitation, Business Analysis, Looker (Software), Requirements Analysis, Project Management, Process Optimization, Data Analysis Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Performing Network, Path, and Text Analyses in SAS Visual Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Data Manipulation, Data Analysis, Exploratory Data Analysis, Statistical Programming, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    194 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
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    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Gestion de l’analyse des données

    Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Statistical Reporting, Data-Driven Decision-Making, Trend Analysis, Data Presentation, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Model Evaluation, Communication

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
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    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Autónoma Metropolitana

    Geometría Analítica Preuniversitaria

    Skills you'll gain: Graphing, Geometry, Advanced Mathematics, Visualization (Computer Graphics), General Mathematics, Algebra, Mathematical Modeling, Applied Mathematics

    4.2
    Rating, 4.2 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidade de São Paulo

    Processamento Neural de Linguagem Natural em Português I

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Embeddings, Applied Machine Learning, Classification Algorithms, Deep Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular applied statistics courses

  • IoT Communications: University of Illinois Urbana-Champaign
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • Analyze Website Visitors with Google Analytics Segments: Coursera
  • Data Visualization for Genome Biology: University of Toronto
  • Capstone Project: Applying Business Analysis Skills : IBM
  • Performing Network, Path, and Text Analyses in SAS Visual Analytics: SAS
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Gestion de l’analyse des données: Johns Hopkins University
  • Introduction to Machine Learning with Python: Arizona State University
  • Geometría Analítica Preuniversitaria: Universidad Autónoma Metropolitana

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