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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


  • G

    Google Cloud

    Como criar data lakes e data warehouses no Google Cloud

    Skills you'll gain: Data Lakes, Data Architecture, Data Governance, Data Warehousing, Google Cloud Platform, Metadata Management, Data Management, Cloud Storage, Operational Databases, Big Data, Applied Machine Learning, Advanced Analytics, Cloud Computing Architecture, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Data Acquisition, Risk, and Estimation

    Skills you'll gain: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pittsburgh

    Data Visualization: Fundamentals to Interactive Storytelling

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Data Visualization, Tableau Software, Spatial Analysis, Visualization (Computer Graphics), Statistical Visualization, Network Model, Dashboard, Matplotlib, Infographics, Heat Maps, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Exploratory Data Analysis, Computer Programming

    Beginner · Course · 3 - 6 Months

  • U

    University of Colorado Boulder

    Parallel Computing with MPI

    Skills you'll gain: File I/O, C and C++, Load Balancing, Communication Systems

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Advanced · Course · 1 - 3 Months

  • L

    LearnQuest

    Development Methodologies Overview

    Skills you'll gain: Software Development Life Cycle, CI/CD, Software Development Methodologies, Jenkins, Continuous Integration, Agile Methodology, Software Development, Cloud Development, Continuous Delivery, Agile Software Development, Cloud Computing Architecture, Cloud Applications, Software Engineering, Scrum (Software Development), Computer Programming, Kubernetes

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Universal Theories

    Skills you'll gain: Physics, Materials science, Physical Science, Mathematical Modeling, Advanced Mathematics, Calculus, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Alberta

    Introdução ao Gerenciamento de produtos de software

    Skills you'll gain: Agile Software Development, Requirements Management, Software Development, Product Management, Process Development, Application Lifecycle Management, Software Engineering, Project Planning, Project Management, Customer Engagement

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Transformation, Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Como criar data lakes e data warehouses no Google Cloud: Google Cloud
  • Data Acquisition, Risk, and Estimation: University of Colorado Boulder
  • Data Visualization: Fundamentals to Interactive Storytelling: University of Pittsburgh
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Parallel Computing with MPI: University of Colorado Boulder
  • Development Methodologies Overview: LearnQuest
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • Universal Theories: University of Colorado Boulder
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Introdução ao Gerenciamento de produtos de software: University of Alberta

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