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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


  • U

    University of Colorado Boulder

    Modern AI Models for Vision and Multimodal Understanding

    Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Machine Learning Methods, Classification Algorithms, Probability Distribution

    ★ 4.4 (30) · Advanced · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Current-Mode Control

    Skills you'll gain: Power Electronics, Control Systems, Electrical Engineering, Simulation and Simulation Software, Electrical Power, Electronics, Simulations, Electronics Engineering, Mathematical Modeling

    ★ 4.9 (22) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Learning and Development

    Skills you'll gain: Responsible AI, Microsoft Copilot, Generative AI, AI Enablement, Training and Development, ChatGPT, Education Software and Technology, Training Programs, Developing Training Materials, AI Integrations, Innovation, Ethical Standards And Conduct, Case Studies, Automation

    ★ 4.4 (10) · Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Project Management Principles

    Skills you'll gain: Team Performance Management, Stakeholder Engagement, Stakeholder Management, Project Management Institute (PMI) Methodology, Systems Thinking, Team Management, Stakeholder Communications, Team Building, Team Leadership, Team Motivation, Risk Mitigation, Drive Engagement, Project Management, Risk Management, Risk Analysis, Business Ethics, Change Management, Governance, Problem Solving, Leadership

    ★ 5 (46) · Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Vertex Pipelines: Qwik Start

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Google Cloud Platform, Applied Machine Learning, Data Pipelines, AI Integrations, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • U

    University of Illinois Urbana-Champaign

    Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Health Informatics, Medical Science and Research, Unsupervised Learning, Medical Imaging, Dimensionality Reduction, Network Architecture

    ★ 3.9 (15) · Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    ★ 4.7 (25) · Intermediate · Guided Project · Less Than 2 Hours

  • N

    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, AI literacy, Data Literacy, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, AI Integrations, Unstructured Data, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

  • B

    Birla Institute of Technology & Science, Pilani

    Discrete Mathematics for Computer Science and Engineering

    Skills you'll gain: Theoretical Computer Science, Mathematics and Mathematical Modeling, Applied Mathematics, Algorithms, Cryptography, Data Management

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Data Wrangling with Python

    Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data-Driven Decision-Making, Data Transformation, Data Presentation, Data Processing, Data Cleansing, Data Preprocessing, Statistical Analysis, Seaborn, NumPy, Python Programming

    ★ 4.5 (40) · Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado System

    Cryptographic Hash and Integrity Protection

    Skills you'll gain: Cryptography, Data Integrity, Encryption, Authentications, Key Management, Data Security, Public Key Cryptography Standards (PKCS), Digital Communications

    ★ 4.6 (100) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Navigating Disruptions and Emerging Technologies

    Skills you'll gain: Emerging Technologies, Forecasting, Critical Thinking, Augmented and Virtual Reality (AR/VR), Strategic Thinking, Technology Strategies, Strategic Leadership, Business Transformation, Data-Driven Decision-Making, Strategic Decision-Making, Innovation, Storytelling, Thought Leadership, Augmented Reality, AI literacy, Scenario Testing, Decision Making, Artificial Intelligence, Virtual Reality, Probability & Statistics

    ★ 4.8 (48) · Beginner · Course · 1 - 4 Weeks

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

  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
  • Current-Mode Control: University of Colorado Boulder
  • GenAI for Learning and Development: Coursera
  • Project Management Principles: Microsoft
  • Vertex Pipelines: Qwik Start: Google Cloud
  • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Practical AI for Professionals: Northeastern University
  • Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
  • Data Wrangling with Python: University of Colorado Boulder

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