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    • Applied Statistics

    Applied Statistics Courses Online

    Understand applied statistics for data analysis and interpretation. Learn statistical methods and tools for various industries.

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    Explore the Applied Statistics Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Digital Marketing

      Skills you'll gain: Data Storytelling, Marketing Analytics, Keyword Research, Email Marketing, Customer experience strategy (CX), Case Studies, Strategic Communication, Search Engine Marketing, Marketing Communications, Digital Marketing, Analytics, Data Visualization Software, Digital Media Strategy, Campaign Management, Business Analytics, Marketing, Web Analytics, Marketing Strategies, Data Analysis, Data Visualization

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Agile Development

      Skills you'll gain: Usability Testing, Agile Product Development, Continuous Delivery, Agile Software Development, User Story, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, Customer Analysis, Analytics, Business Analytics, Demand Planning, Product Development, Persona (User Experience)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Logic and Critical Thinking

      Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Sampling (Statistics), Persuasive Communication, Sample Size Determination, Writing, Case Studies, Mathematical Modeling, Scientific Methods, Oral Expression, Correlation Analysis, Communication, Interpersonal Communications, Business Communication, Interactive Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      DevOps, Cloud, and Agile Foundations

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      L

      LearnQuest

      Data Science Foundations with No-Code Tools

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Analysis, Data Literacy, No-Code Development, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Applied Machine Learning, Project Management, Product Management, Product Design, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      878 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with Python

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Honors Algebra 2: Polynomials and Complex Numbers

      Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

      Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, LangChain, Generative Model Architectures, Generative AI, Application Deployment, Application Development, Technical Management, ChatGPT, Trend Analysis, Program Evaluation, Artificial Intelligence, Real Time Data, Applied Machine Learning, Data Ethics, Analytics, Business Strategy, Python Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      59 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Logistic Regression & Supervised ML

      Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

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    1…333435…211

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

    • Digital Marketing: University of Illinois Urbana-Champaign
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Agile Development: University of Virginia
    • Introduction to Logic and Critical Thinking: Duke University
    • DevOps, Cloud, and Agile Foundations: IBM
    • Data Science Foundations with No-Code Tools: LearnQuest
    • AI Product Management: Duke University
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • Data Analysis with Python: IBM
    • Honors Algebra 2: Polynomials and Complex Numbers: Johns Hopkins University

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