Data collection courses can help you learn survey design, sampling techniques, data cleaning, and statistical analysis. You can build skills in qualitative and quantitative research methods, data visualization, and ethical considerations in data handling. Many courses introduce tools like Excel for data manipulation, R for statistical analysis, and software like Qualtrics for survey creation, showing how these skills are applied in real-world research settings.
Microsoft
Skills you'll gain: Generative AI, Large Language Modeling, Data Ethics, Transfer Learning, Prompt Engineering, Responsible AI, Feature Engineering, Model Deployment, AI Security, Advertising, Marketing, Information Privacy
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Splunk, Dashboard, Business Intelligence, Scatter Plots, Data Visualization Software, Data-Driven Decision-Making, Software Installation, Graphing, Real Time Data, Trend Analysis, Event Monitoring, Transaction Processing, Anomaly Detection, System Configuration, Correlation Analysis, Statistical Analysis, Data Manipulation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Presentations, Prompt Engineering, Responsible AI, Verbal Communication Skills, Sampling (Statistics), Excel Formulas, Data Storytelling, Spreadsheet Software, Generative AI, Data Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Istio, Kubernetes, Cloud-Native Computing, Amazon Web Services, API Gateway, Serverless Computing, Restful API, Cloud Deployment, Microservices, Amazon DynamoDB, Cloud Applications, Redis, Apache Kafka, Data Management, Application Deployment, Containerization, Distributed Computing, NoSQL, Event-Driven Programming, Scalability
Intermediate · Course · 1 - 3 Months

University of London
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Plot (Graphics), Data Visualization, Graphing, Matplotlib, Data Visualization Software, Graphical Tools, Histogram, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Data Preprocessing, Tidyverse (R Package), Data Management
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Data Visualization, Data Visualization Software, Grafana, Graphing, Data Analysis, Splunk, Real Time Data, Anomaly Detection, Applied Machine Learning, Time Series Analysis and Forecasting, Query Languages, SQL, Role-Based Access Control (RBAC), Qualitative Research
Beginner · Course · 1 - 3 Months

Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Extract, Transform, Load, Data Integration, SQL Server Integration Services (SSIS), Data Cleansing, Data Pipelines, Data Quality, Data Migration, Database Management, Data Transformation, File Management, Data Manipulation, Data Processing, Metadata Management, JSON, Extensible Markup Language (XML), Debugging
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm
Build toward a degree
Intermediate · Specialization · 3 - 6 Months