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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


  • P

    Packt

    Data Analytics in Excel Using Real-World Examples

    Skills you'll gain: Microsoft Excel, Excel Formulas, Data Management, Data Analysis, Data Cleansing, Pivot Tables And Charts, Analytical Skills, Data Manipulation, Data Entry, Statistical Analysis, Data Import/Export, Data Quality, Data Visualization Software, Data Validation, Forecasting

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Application Lifecycle Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Integration, Applied Machine Learning, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • I

    IE Business School

    Competitive Interactions and Disruptive Change

    Skills you'll gain: Market Dynamics, Competitive Analysis, Market Trend, Market Share, Trend Analysis, Case Studies, Market Analysis, Business Economics, Strategic Marketing, Business Strategies, Business Strategy, Strategic Thinking, Corporate Strategy, Benchmarking

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Explore and Visualize Data the Python Way

    Skills you'll gain: Data Storytelling, Plotly, Matplotlib, Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Scatter Plots, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub

    Beginner · Course · 1 - 4 Weeks

  • C

    Creo Incubator

    Pitch and Storytelling for Leaders

    Skills you'll gain: Data Storytelling, Storytelling, Brand Strategy, Presentations, Sales Presentations, Public Speaking, Drive Engagement, Persuasive Communication, Verbal Communication Skills, Communication, Entrepreneurship

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Der Werkzeugkasten des Data Scientist

    Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • S

    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling

    Beginner · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    商管統計資料分析三 (Analytics for Business and Management (III))

    Skills you'll gain: Logistic Regression, R Programming, Statistical Analysis, Case Studies, Model Evaluation, Statistical Modeling, Regression Analysis, Advanced Analytics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Business Analytics

    Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    Foundations of Agile and Core Frameworks Training

    Skills you'll gain: Scaled Agile Framework, Agile Project Management, Agile Software Development, Agile Methodology, Scrum (Software Development), Sprint Planning, Kanban Principles, Lean Methodologies, Business Transformation, Workflow Management, Organizational Change, Sprint Retrospectives, Waterfall Methodology, Process Mapping, Continuous Improvement Process, Prioritization, Requirements Analysis

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Advanced SAS Programming, Macros & Reporting

    Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Model Evaluation, Data Analysis, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance

    Beginner · Specialization · 3 - 6 Months

  • S

    Scrimba

    Essential CSS Concepts

    Skills you'll gain: Cascading Style Sheets (CSS), Responsive Web Design, HTML and CSS, Typography, Web Design, Maintainability, Debugging, User Interface (UI), Semantic Web, Color Theory

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Analytics in Excel Using Real-World Examples: Packt
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Competitive Interactions and Disruptive Change: IE Business School
  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Explore and Visualize Data the Python Way: Coursera
  • Pitch and Storytelling for Leaders: Creo Incubator
  • Der Werkzeugkasten des Data Scientist: Johns Hopkins University
  • Introduction to Linear Regression Training : Simplilearn
  • 商管統計資料分析三 (Analytics for Business and Management (III)): National Taiwan University
  • Foundations of Agile and Core Frameworks Training : Simplilearn

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