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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
    W

    Whizlabs

    AWS: Data Analytics

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Serverless Computing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Computer Vision: YOLO Custom Object Detection with Colab GPU

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Data Preprocessing, Model Evaluation, Performance Tuning, Data Collection, Software Installation

    3.1
    Rating, 3.1 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Care: The First Step in Tech Innovation for Entrepreneurs

    Skills you'll gain: Design Thinking, Innovation, Problem Solving, Entrepreneurship, Brainstorming, Lean Methodologies, Team Oriented, Ideation, Business Research, Complex Problem Solving, Case Studies, Analysis, Customer Insights

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Alberta Machine Intelligence Institute

    실용 머신 러닝 소개

    Skills you'll gain: Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Preprocessing, Training Records Management, Machine Learning Methods, Data Collection, AI Enablement, Business Process, Business Requirements

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Engineering Genetic Circuits: Abstraction Methods

    Skills you'll gain: Markov Model, Engineering Analysis, Mathematical Modeling, Computational Thinking, Failure Analysis, Biological Engineering, Hazard Analysis, Simulations, Chemical Engineering, Model Evaluation, Applied Mathematics, Differential Equations, Probability

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Fundamentals for Designers

    Skills you'll gain: Interactive Data Visualization, Interactive Design, Programming Principles, Visualization (Computer Graphics), Python Programming, Graphic and Visual Design, Computer Graphics, Computational Logic, Software Design, Computer Programming, Computational Thinking, File I/O, Data Structures, Animations

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The DMAIC Framework - Define and Measure Phase

    Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Data Collection, Project Scoping, Performance Measurement, Process Improvement, Quality Management, Customer experience improvement, Quality Control, Process Mapping

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Predictive Modeling and Transforming Clinical Practice

    Skills you'll gain: Predictive Modeling, Clinical Data Management, Intensive Care Unit, Risk Modeling, Clinical Practices, Patient Evaluation, Decision Support Systems, Applied Machine Learning, Health Informatics, Model Evaluation, Qualitative Research, Data Analysis, Model Deployment

    Intermediate · Course · 1 - 3 Months

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

  • AWS: Data Analytics: Whizlabs
  • Interpretable machine learning applications: Part 5: Coursera
  • Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Care: The First Step in Tech Innovation for Entrepreneurs: Arizona State University
  • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
  • Where, Why, and How of Lambda Functions in Python : Coursera
  • Engineering Genetic Circuits: Abstraction Methods: University of Colorado Boulder
  • Databricks Machine Learning Fundamentals: Coursera
  • Python Fundamentals for Designers: University of Michigan

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