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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.

Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, LLM Application, Keras (Neural Network Library), Vector Databases, Fine-tuning, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    100K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    44K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Data Cleansing, Jupyter, Data Literacy, Data Mining, Data Manipulation, Data Preprocessing, R (Software), Business Analysis, Model Deployment, Model Evaluation, Database Management, Relational Databases, Stored Procedure, R Programming, Data Science, Data Processing, Big Data, Computer Programming Tools, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    102K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.9 out of 5 stars
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    33K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Dashboard, Extract, Transform, Load, Data Storytelling, Data Visualization, Dashboard Creation, Database Design, Presentations, Data Presentation, Descriptive Statistics, IBM DB2, Business Intelligence, Data Visualization Software, Statistical Hypothesis Testing, Tableau Software, Relational Databases, Database Systems, Statistical Visualization, IBM Cognos Analytics, Interactive Data Visualization, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
    ·
    16K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    ChatGPT: Master Free AI Tools to Supercharge Productivity

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, ChatGPT, Generative AI Agents, Generative AI, LLM Application, AI literacy, OpenAI, OpenAI API, Expense Management, AI Personalization, AI Enablement, Context Engineering, AI powered creativity, Artificial Intelligence, Expense Reports, Communication, Planning, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Generative AI Agents, AI Personalization, Mobile Development, Software Design Documents, Software Design, Generative Model Architectures, Anthropic Claude, Mobile Development Tools, LLM Application, AI literacy, iOS Development, AI Integrations, Personalized Campaigns, Software Development, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn SQL Basics for Data Science

    Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Descriptive Analytics, Data Architecture, Data Literacy, Data Pipelines, Databricks, Data Analysis, Complex Problem Solving, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    17K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: User Story, Cloud Infrastructure, Cloud Platforms, Agile Software Development, Scrum (Software Development), Agile Methodology, Cloud Computing, Cloud Computing Architecture, Kanban Principles, DevOps, Backlogs, Cloud Services, Cloud Development, Cloud Deployment, Sprint Retrospectives, Cloud Security, Cloud-Native Computing, Devops Tools, Continuous Integration, CI/CD

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Sampling (Statistics), Data Analysis, Correlation Analysis, Statistical Analysis, Applied Mathematics, Data Collection

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    290 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, File I/O, Object Oriented Programming (OOP), Algorithms, Machine Learning Methods, Matlab, Applied Machine Learning, Object Oriented Design, ChatGPT, LLM Application, Large Language Modeling, Dimensionality Reduction, Software Engineering, Program Development, Code Reusability, Computer Programming, Data Analysis, Computer Programming Tools

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • IBM Generative AI Engineering: IBM
  • Python for Data Science, AI & Development: IBM
  • Introduction to Data Science: IBM
  • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
  • IBM Business Intelligence (BI) Analyst: IBM
  • ChatGPT: Master Free AI Tools to Supercharge Productivity: Vanderbilt University
  • Generative AI for Mobile App Developers: IBM
  • Learn SQL Basics for Data Science: University of California, Davis
  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Probability Foundations for Data Science and AI: University of Colorado Boulder

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