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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

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Minnesota

    Software Development Lifecycle

    Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), Object Oriented Design, Software Architecture, User Experience Design, Software Quality (SQA/SQC)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of London

    Geometry and Calculus for Computing

    Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Analyze and Develop Core Personality Skills for Beginners

    Skills you'll gain: Tenacity, Persistence, Relationship Building, Personal Attributes, Conflict Management, Self-Awareness, Personal Development, Growth Mindedness, Resilience, Ethical Standards And Conduct, Emotional Intelligence, Professionalism, Self-Discipline, Analytical Skills, Human Development, Psychology, Psychological Evaluations, Psychosocial Assessments, Applied Behavior Analysis, Communication

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Huddersfield

    Integral Calculus & The Fundamental Theorem

    Skills you'll gain: Integral Calculus, Differential Equations, Calculus, Analytical Skills, Advanced Mathematics, Mathematical Theory & Analysis, Engineering Calculations, Engineering Analysis, Trigonometry, General Mathematics, Applied Mathematics, Mathematical Modeling, Derivatives

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Validate and Summarize Data Effectively with Excel

    Skills you'll gain: Pivot Tables And Charts, Trend Analysis, Financial Data, Microsoft Excel, Data Quality, Data Validation, Excel Formulas, Strategic Decision-Making, Data Synthesis, Exploratory Data Analysis, Data Analysis, Data-Driven Decision-Making, Statistical Reporting, Business Analytics, Descriptive Statistics, Data Integrity

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply R for Business Analytics Projects

    Skills you'll gain: Fraud detection, Marketing Analytics, Predictive Modeling, Customer Analysis, Feature Engineering, Marketing Effectiveness, Exploratory Data Analysis, Anomaly Detection, Customer Retention, Advanced Analytics, Market Analysis, Predictive Analytics, Statistical Analysis, Sales Management, Analytics, Data Analysis, R Programming, Credit Risk, Applied Machine Learning, Analytical Skills

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Forecast Business Metrics: Uncover Value Drivers

    Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Model Evaluation, Business Analytics, Data-Driven Decision-Making, Data Presentation, Business Metrics, Performance Analysis, Regression Analysis, Feature Engineering, Data Science, Stakeholder Communications, Exploratory Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California, Irvine

    Project Management Principles and Practices

    Skills you'll gain: Cost Estimation, Project Planning, Project Risk Management, Project Schedules, Work Breakdown Structure, Project Performance, Estimation, Project Management, Communication Planning, Planning, Quality Management, Change Control, Timelines, Milestones (Project Management), Peer Review, Budgeting, Scheduling, Risk Analysis, Project Implementation, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Minnesota

    Human Resource Management: HR for People Managers

    Skills you'll gain: Performance Management, Performance Appraisal, Performance Review, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Employee Performance Management, Recruitment Strategies, Human Capital, Full Cycle Recruitment, Talent Acquisition, Human Resources Management and Planning, Compensation Analysis, People Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Software Development Lifecycle: University of Minnesota
  • Geometry and Calculus for Computing: University of London
  • Machine Learning on Google Cloud: Google Cloud
  • Analyze and Develop Core Personality Skills for Beginners: EDUCBA
  • Integral Calculus & The Fundamental Theorem: University of Huddersfield
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Validate and Summarize Data Effectively with Excel: Coursera
  • Apply R for Business Analytics Projects: EDUCBA
  • Forecast Business Metrics: Uncover Value Drivers: Coursera

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