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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


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    T

    Technical University of Munich (TUM)

    Advanced Lean Production & Continuous Improvement

    Skills you'll gain: Lean Manufacturing, Quality Improvement, Production Schedule, Production Process, Kaizen Methodology, Quality Management, Production Management, Continuous Improvement Process, Lean Methodologies, Lean Six Sigma, Process Improvement, Scheduling, Quality Control, Operational Efficiency, Process Analysis, Business Process Management, Kanban Principles, Workflow Management, Capacity Management

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Managing AI Projects That Ship and Scale

    Skills you'll gain: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Project Risk Management, Compliance Management, Stakeholder Communications, Data Governance, Risk Analysis, Model Evaluation, Applied Machine Learning, Project Planning, Risk Management, Mitigation

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Portfolio Development in Canva

    Skills you'll gain: Storytelling, Case Studies, Canva (Software), Digital Design, Visual Design, Content Creation, Portfolio Management, Target Audience, Design Strategies, Layout Design, Goal Setting, User Experience Design, Graphic and Visual Design

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    P

    Packt

    Tableau Prep Masterclass - Build and Automate Data Flows

    Skills you'll gain: Data Transformation, Data Wrangling, Data Manipulation, Data Integration, Data Preprocessing, Data Cleansing, Data Analysis, Tableau Software, Data Pipelines, Exploratory Data Analysis, Dashboard, Dataflow, Pivot Tables And Charts, Data Validation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Survey Data Collection and Analytics

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Interviewing Skills, Surveys, Research Design, STATA (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Master of Science in Engineering Management

    Skills you'll gain: Data Storytelling, Software Quality Assurance, Open Web Application Security Project (OWASP), Text Mining, Database Design, Agile Software Development, Software Development Life Cycle, Data Governance, Unsupervised Learning, Interactive Data Visualization, Software Architecture, Plotly, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Statistical Hypothesis Testing, Java, Depreciation, Probability & Statistics, Cash Flows

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Colorado Boulder

    Master of Science in Electrical and Computer Engineering

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

  • Status: New
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    C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    P

    Packt

    Advanced Python Techniques for Data Science & AI

    Skills you'll gain: Plotly, Pandas (Python Package), Interactive Data Visualization, Data Analysis, Data Visualization Software, Restful API, Application Programming Interface (API), Python Programming, Data Manipulation, Data Transformation, Data Preprocessing, Data Structures, Text Mining

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Advanced Lean Production & Continuous Improvement: Technical University of Munich (TUM)
  • Managing AI Projects That Ship and Scale: Coursera
  • Portfolio Development in Canva: Coursera
  • Tableau Prep Masterclass - Build and Automate Data Flows: Packt
  • Systematic ML Optimization: Coursera
  • Survey Data Collection and Analytics: University of Michigan
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Master of Science in Engineering Management: Northeastern University
  • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder

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