Python for Statistics courses can help you learn data analysis, hypothesis testing, regression analysis, and probability distributions. You can build skills in data visualization, statistical modeling, and interpreting results to make informed decisions. Many courses introduce tools like Pandas for data manipulation, NumPy for numerical calculations, and Matplotlib for creating visual representations of data, all of that support applying statistical techniques effectively.

Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning, Data Preprocessing, Model Evaluation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

LearnQuest
Skills you'll gain: Java Platform Enterprise Edition (J2EE), Application Deployment, Web Applications, Application Servers, Java, Web Servers, Web Development, Server Side, Application Frameworks
Intermediate · Course · 1 - 4 Weeks

IESE Business School
Skills you'll gain: Corporate Communications, Crisis Management, Strategic Communication, Media Relations, Stakeholder Communications, Public Relations, Business Communication, Press Releases, Business Ethics, Communication, Interviewing Skills, Conflict Management, Public Speaking, Decision Making
Beginner · Course · 1 - 4 Weeks
Yonsei University
Skills you'll gain: Semiconductors, Electronics, Electronics Engineering, Electronic Components, Electrical Engineering, Display Devices, Materials science, Manufacturing Processes, Emerging Technologies, Reliability, Physics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Music Performance, Musical Composition, Music Theory, Instrumental Music, Performing Arts, Music, Electronic Media
Beginner · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: Lean Manufacturing, Lean Methodologies, Lean Six Sigma, Kaizen Methodology, Operational Efficiency, Performance Measurement, Manufacturing Operations, Quality Improvement, Operational Excellence, Business Process, Quality Management, Process Improvement, Performance Metric, Waste Minimization, Kanban Principles, Quality Control, Six Sigma Methodology, Continuous Improvement Process, Quality Assurance and Control, Business Metrics
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Visualization Software, Data Literacy, Storyboarding, Statistical Visualization, Data Storytelling, Data Manipulation, Data Presentation, Ggplot2, Statistical Reporting, Dashboard, Data Synthesis, Data Analysis, Data Cleansing, R Programming, Tidyverse (R Package), Data Preprocessing, Data Transformation, Data Import/Export, Graphing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Business Leadership, Leadership Development, Professional Development, Growth Strategies, Strategic Leadership, Culture Transformation, Business Development, Leadership, Visionary, Organizational Leadership, Leadership and Management, Self-Awareness
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Javascript, Scripting, Event-Driven Programming, Computational Logic, Maintainability, Object Oriented Programming (OOP), Programming Principles, Debugging, Web Development
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Process Mapping, Lean Six Sigma, Six Sigma Methodology, Lean Methodologies, Process Analysis, Process Improvement, Risk Management, Continuous Improvement Process, Business Requirements, Customer Analysis, Key Performance Indicators (KPIs), Performance Measurement, Project Planning, Project Management, Root Cause Analysis
Beginner · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Data Presentation, Regression Analysis, Statistical Analysis, Statistical Reporting, Correlation Analysis, Technical Communication, Probability & Statistics, Scatter Plots, Data Analysis, Predictive Analytics, Generative AI, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours