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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


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    Alex Genadinik

    Time Management

    Skills you'll gain: Prioritization, Productivity, Time Management, Professional Development, Personal Development, Stress Management, Strategic Prioritization, Organizational Skills, Calendar Management, Business Priorities, Scheduling, Composure, Business Strategy, Decision Making, Data-Driven Decision-Making

    Mixed · Course · 1 - 3 Months

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    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

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    Board Infinity

    Continuous Integration (CI) Insight for Agile Development

    Skills you'll gain: Continuous Integration, CI/CD, Jenkins, Test Automation, GitLab, Continuous Delivery, Continuous Deployment, Agile Software Development, Unit Testing, DevSecOps, Integration Testing, Software Development, Git (Version Control System), Application Deployment, Application Security, Automation, Debugging, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms

    Intermediate · Course · 1 - 3 Months

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    Niel Asher Education

    Sports Nutrition Principles for Performance and Recovery

    Skills you'll gain: Sports Medicine, Nutrition and Diet, Nutrition Care Plans, Nutritional Assessment, Athletic Training, Nutrition Education, Meal Planning And Preparation, Needs Assessment, Physical Therapy, Manual Therapy

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Google Cloud における AI と ML の概要

    Skills you'll gain: Generative AI Agents, Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Prompt Engineering, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Applied Machine Learning, Data Preprocessing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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    Google Cloud

    Employing Best Practices for Improving the Usability of LookML Projects

    Skills you'll gain: Looker (Software), Maintainability, Usability Testing, Exploratory Data Analysis, Data Dictionary, Data Literacy, Data Visualization, Data Analysis

    Intermediate · Project · Less Than 2 Hours

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    Packt

    Salesforce Experience (Community) Cloud Consultant Training

    Skills you'll gain: Salesforce, Data Sharing, Authentications, Web Analytics, Single Sign-On (SSO), User Accounts, Data Access, Drive Engagement, Cloud Development, Customer experience improvement, Dashboard, Role-Based Access Control (RBAC), Registration, Content Management

    Advanced · Course · 3 - 6 Months

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    Coursera

    Explore and Visualize Data the Python Way

    Skills you'll gain: Data Storytelling, Plotly, Matplotlib, Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Scatter Plots, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Analyze Healthcare Data for Patient Outcomes

    Skills you'll gain: Time Series Analysis and Forecasting, Anomaly Detection, Exploratory Data Analysis, Descriptive Analytics

    Beginner · Course · 1 - 4 Weeks

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

  • Time Management: Alex Genadinik
  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • Continuous Integration (CI) Insight for Agile Development : Board Infinity
  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • Sports Nutrition Principles for Performance and Recovery: Niel Asher Education
  • Google Cloud における AI と ML の概要: Google Cloud
  • Employing Best Practices for Improving the Usability of LookML Projects: Google Cloud
  • Salesforce Experience (Community) Cloud Consultant Training: Packt
  • Explore and Visualize Data the Python Way: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University

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