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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


  • C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Artificial Intelligence Industrial Control Systems Security

    Skills you'll gain: Large Language Modeling, AI Security, Network Security, Responsible AI, Cybersecurity, Infrastructure Security, Information Systems Security, Threat Modeling, Firewall, Network Protocols, Data Ethics, Internet Of Things, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Machine Learning and AI Applications in Healthcare

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    3ds Max Interior Design: Model & Create Spaces

    Skills you'll gain: 3D Modeling, 3D Assets, Autodesk, Visualization (Computer Graphics), Editing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

    Skills you'll gain: Deep Learning, Tensorflow, Data Preprocessing, Model Evaluation, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning Algorithms, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Strategize, Roadmap, and Mitigate AI Projects

    Skills you'll gain: Applied Machine Learning, Case Studies, Fraud detection, Project Risk Management, Project Planning, Business Ethics, Ethical Standards And Conduct, Law, Regulation, and Compliance, Scalability, Content Strategy, Quality Assessment, Keyword Research, Search Engine Optimization, Content Creation

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    BiteSize Python: NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Rediscovering Wesleyan Mission

    Skills you'll gain: Social Impact, Initiative and Leadership, Innovation, Social Justice, Community Outreach, Leadership, Compassion, Research, Storytelling, Adaptability

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Honors Algebra 2: Algebraic, Exponential & Log Functions

    Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

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

  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Artificial Intelligence Industrial Control Systems Security: Johns Hopkins University
  • Machine Learning and AI Applications in Healthcare: Microsoft
  • 3ds Max Interior Design: Model & Create Spaces: EDUCBA
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • Strategize, Roadmap, and Mitigate AI Projects: Coursera
  • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
  • Rediscovering Wesleyan Mission: Duke University

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