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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: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Quantitative Finance with SAS: Apply, Analyze & Evaluate

      Skills you'll gain: SAS (Software), Descriptive Statistics, Market Data, Financial Data, Risk Modeling, Regression Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Analysis Software, Statistical Analysis, Financial Market, Time Series Analysis and Forecasting, Trend Analysis, Financial Analysis, Variance Analysis, Forecasting

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Deep Learning, Applied Machine Learning, Natural Language Processing, Tensorflow, Artificial Neural Networks, Predictive Modeling, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universidad de los Andes

      Fundamentos de estadística aplicada

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistics, Regression Analysis, Data Analysis, Statistical Methods, Statistical Analysis, Probability & Statistics, Statistical Modeling, Statistical Inference, Estimation, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      136 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: Free Trial
      Free Trial
      I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Program Structure and Algorithms Part 2

      Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Product Owner

      Skills you'll gain: AI Product Strategy, Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Stakeholder Communications, Generative AI, Agile Methodology, Responsible AI, Kanban Principles, Product Roadmaps, Virtual Teams, Information Technology, Agile Project Management, Computer Hardware, Product Strategy, Product Management, ChatGPT, Stakeholder Management, Sprint Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM IT Scrum Master

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Agile Software Development, User Story, Sprint Retrospectives, Agile Methodology, DevOps, Software Design, Kanban Principles, Sprint Planning, Scrum (Software Development), Information Technology, Software Engineering, Computer Hardware, Software Design Patterns, Agile Project Management, Team Building, Risk Management, Leadership, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      U

      University of Michigan

      Mindware: Critical Thinking for the Information Age

      Skills you'll gain: Data Analysis, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Statistical Inference, Probability, Correlation Analysis, Adaptability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • 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

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    1…242526…212

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

    • Quantitative Finance with SAS: Apply, Analyze & Evaluate: EDUCBA
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • IBM AI Engineering: IBM
    • Python for Data Science, AI & Development: IBM
    • Fundamentos de estadística aplicada: Universidad de los Andes
    • Data Science Fundamentals, Part 1: Pearson
    • IBM Machine Learning: IBM
    • Program Structure and Algorithms Part 2: Northeastern University
    • IBM Product Owner: IBM
    • IBM IT Scrum Master: IBM

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