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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

    Troubleshooting Data Models in Looker

    Skills you'll gain: Looker (Software), Data Modeling, Exploratory Data Analysis, Data Validation, Data Maintenance, Data Analysis, Data Visualization, Data Analysis Software, Google Cloud Platform

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Validating and Safeguarding Production AI

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, Model Training, DevOps, Software Quality Assurance, Maintainability, CI/CD, Model Deployment, Performance Tuning, Security Testing, Model Evaluation, Secure Coding, Performance Testing, Continuous Monitoring, Integration Testing, Sampling (Statistics), Data Validation, Python Programming

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Transformer Models and BERT Model - 한국어

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Applied Machine Learning

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Compensation Analysis in Law Firms

    Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, Legal Technology, People Analytics, Job Evaluation, Data-Driven Decision-Making, Benchmarking, AI literacy, Labor Compliance, Generative AI Agents, Data Ethics, Analysis, AI Integrations

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Sorting Algorithms, Complexity Analysis, and Optimization

    Skills you'll gain: Algorithms, Applied Mathematics, Data Structures, Theoretical Computer Science, Numerical Analysis, Computational Thinking, Mathematical Theory & Analysis, Performance Tuning, Logical Reasoning

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    AWS Visualization, Security, and Exam Preparation

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Data Visualization, Data Presentation, Dashboard, Amazon Web Services, Interactive Data Visualization, Data Visualization Software, Dashboard Creation, Amazon Redshift, Big Data, Cloud Security, Security Controls, Encryption, Applied Machine Learning, Amazon Elastic Compute Cloud, Key Management, Cloud-Based Integration, Data Integration, Predictive Modeling

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training

    Advanced · Course · 1 - 4 Weeks

  • L

    Logical Operations

    Introduction to Agile and Scrum Methodologies

    Skills you'll gain: Agile Methodology, Scrum (Software Development), Agile Project Management, Sprint Retrospectives, Agile Software Development, Sprint Planning, User Story, Backlogs, Agile Product Development, Project Estimation, Project Management, Estimation, Project Planning

    Mixed · Course · 1 - 3 Months

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Model Optimization, Responsible AI, Model Evaluation, Project Management, Performance Improvement, AI literacy, Risk Modeling, Performance Metric, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Applied Machine Learning, Research Design

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze Churn, Design Onboarding Success

    Skills you'll gain: Customer Retention, Customer Analysis, Business Metrics, Data Analysis, Performance Metric, Customer Insights, Analysis, Performance Measurement, Trend Analysis, Benchmarking, Key Performance Indicators (KPIs), Pareto Chart, Descriptive Analytics, Root Cause Analysis, Consumer Behaviour

    Intermediate · Course · 1 - 4 Weeks

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

  • Troubleshooting Data Models in Looker: Google Cloud
  • Validating and Safeguarding Production AI: Coursera
  • Transformer Models and BERT Model - 한국어: Google Cloud
  • GenAI for Compensation Analysis in Law Firms: Coursera
  • Sorting Algorithms, Complexity Analysis, and Optimization: Packt
  • AWS Visualization, Security, and Exam Preparation: Packt
  • Learn to Choose the Right ML Model: Coursera
  • Deep Learning and Advanced Techniques: Packt
  • Introduction to Agile and Scrum Methodologies: Logical Operations
  • Statistical Learning for Engineering Part 2: Northeastern University

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