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
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
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
IE Business School
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
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)
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
Creo Incubator
Skills you'll gain: Data Storytelling, Storytelling, Brand Strategy, Presentations, Sales Presentations, Public Speaking, Drive Engagement, Persuasive Communication, Verbal Communication Skills, Communication, Entrepreneurship
Johns Hopkins University
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
Simplilearn
Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling
National Taiwan University
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
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
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
Scrimba
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
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
