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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


  • I

    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: User Story, Cloud Computing Architecture, Agile Software Development, Cloud Services, Scrum (Software Development), Cloud Deployment, Agile Methodology, Kanban Principles, DevOps, Backlogs, Cloud Security, Cloud Infrastructure, Sprint Retrospectives, Cloud Platforms, Agile Project Management, Cloud Computing, Cloud-Native Computing, Cloud Storage, CI/CD, Test Driven Development (TDD)

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

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    SQL for Data Science

    Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Modeling, Relational Databases, Data Manipulation, Data Science, Data Analysis, Descriptive Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, AI Personalization, Mobile Development, Software Design, Anthropic Claude, LLM Application, Software Architecture, Apple iOS, AI Product Strategy, Machine Learning Methods, Continuous Integration, Software Design Patterns, Software Development, Application Design, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML)

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

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    Statistical and Predictive Modeling for Finance

    Skills you'll gain: Descriptive Statistics, Financial Data, Regression Analysis, Statistical Modeling, Financial Analysis, Decision Tree Learning, Credit Risk, Predictive Modeling, Portfolio Management, Statistics, Portfolio Risk, Statistical Analysis, Statistical Methods, Model Evaluation, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Bestseller
    Bestseller
    I

    IBM

    IBM IT Project Manager

    Skills you'll gain: User Story, Software Development Life Cycle, Stakeholder Engagement, Software Architecture, Project Management Life Cycle, Resource Management, Peer Review, Agile Software Development, Scrum (Software Development), Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Project Management, Information Technology, Risk Management, Interviewing Skills, Agile Project Management, Leadership, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of North Texas

    Math Prep: College & Work Ready

    Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement

    4.5
    Rating, 4.5 out of 5 stars
    ·
    327 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Data Science Concepts Using R

    Skills you'll gain: Data Manipulation, Statistical Analysis, R (Software), Ggplot2, R Programming, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Data Analysis, Statistics, Statistical Modeling, Regression Analysis, Data-Driven Decision-Making, Machine Learning, Descriptive Statistics, Probability Distribution, Time Series Analysis and Forecasting

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Artificial Neural Networks, Logistic Regression, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of London

    Essential Mathematics for Computer Science

    Skills you'll gain: Computational Logic, Algorithms, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Statistics, General Mathematics, Analysis, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Arithmetic, Problem Solving

    Build toward a degree

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Applied Machine Learning, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Machine Learning, Probability & Statistics, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Bestseller
    Bestseller
    U

    University of California, Davis

    Learn SQL Basics for Data Science

    Skills you'll gain: Presentations, Data Governance, SQL, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Data Pipelines, JSON, Statistical Analysis, Data Modeling, Performance Metric, Database Design, Data Analysis, Complex Problem Solving, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Introduction to Artificial Intelligence (AI): IBM
  • SQL for Data Science: University of California, Davis
  • Generative AI for Mobile App Developers: IBM
  • Statistical and Predictive Modeling for Finance : Coursera
  • IBM IT Project Manager: IBM
  • Math Prep: College & Work Ready: University of North Texas
  • Analyze Data Science Concepts Using R: EDUCBA
  • Advanced Learning Algorithms: DeepLearning.AI
  • Essential Mathematics for Computer Science: University of London

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