
Skills you'll gain: Data Security, Data Governance, Data Architecture, Data Quality, Personally Identifiable Information, Incident Response, Security Controls, Information Privacy, Data Management, Computer Security Incident Management, Security Strategy, Threat Management, Threat Detection, Law, Regulation, and Compliance, Data Infrastructure, Risk Management, Cybersecurity, Compliance Management, Encryption, Incident Management
★ 4.2 (42) · Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Collection, Data Processing, Data Analysis, Data Management, Data Preprocessing, Data Access, Statistical Analysis, Analysis, Sampling (Statistics), Verification And Validation, Design Strategies
★ 4.6 (58) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Validation, Data Quality, SQL, Data Integrity, Verification And Validation, Unit Testing
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Validation, Data Integrity, Data Maintenance, Data Transformation, Data Quality, Data Warehousing, Extract, Transform, Load, Reconciliation, Code Reusability
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Validation, Data Quality, Data Integrity, Debugging, Data Pipelines, Test Automation, Root Cause Analysis, YAML, Generative AI, Test Tools, Anomaly Detection, AI Integrations, CI/CD, Python Programming, Reliability, Performance Tuning, Memory Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Management, Data Quality, Data Validation, Data Integrity, Data Pipelines, YAML, Quality Assurance, Test Automation, SQL
Beginner · Course · 1 - 4 Weeks
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Data Literacy, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Presentations, Sample Size Determination
★ 4.7 (13K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Dashboard, Conversion Funnel Analysis, Data Preprocessing, Apache Airflow, Star Schema, Data Storytelling, Extract, Transform, Load, Data Transformation, SQL, Data Pipelines, JSON, Apache Kafka, Data Warehousing, Data Modeling, Pandas (Python Package), Business Intelligence, Data Validation, Data Quality, Performance Improvement, Python Programming
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Data Presentation, Trend Analysis, Data Literacy, Content Performance Analysis, Analysis, Data Analysis, Web Analytics, Data-Driven Decision-Making, Stakeholder Communications, Performance Metric, Data Management, Decision Making
Intermediate · Course · 1 - 4 Weeks

University of Amsterdam
Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Statistical Visualization, Six Sigma Methodology, Regression Analysis, Graphing, Probability Distribution, Statistical Methods, Data Analysis, Lean Methodologies, Statistical Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Data-Driven Decision-Making, Analytics, Data Analysis Software, Process Improvement, Statistics
★ 4.8 (3.5K) · Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Data Literacy, Data Visualization, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Analytics, Statistical Methods, Histogram, Plot (Graphics), Probability, Simulations, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Sampling (Statistics)
★ 4.9 (61) · Beginner · Course · 1 - 4 Weeks