Statistical analysis courses can help you learn data collection methods, hypothesis testing, regression analysis, and data visualization techniques. You can build skills in interpreting results, making predictions, and drawing conclusions from data sets. Many courses introduce tools such as R, Python, and Excel, that support performing statistical computations and creating visual representations of data.

Skills you'll gain: Data Storytelling, Feature Engineering, Data Ethics, Data Visualization, Exploratory Data Analysis, Tableau Software, Data-Driven Decision-Making, Data Visualization Software, Data Analysis, Analytical Skills, Data Cleansing, Statistical Methods, Data Preprocessing, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AI Security, Workplace inclusivity, Social Impact, Generative AI, Analysis, Critical Thinking, Data Security
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Variance Analysis, Cost Control, Cost Accounting, Budget Management, Cost Management, Statistical Analysis, Data Analysis, Data-Driven Decision-Making, Stakeholder Communications, Communication, Strategic Communication
Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Keras (Neural Network Library), Unsupervised Learning, Apache Hadoop, Data Preprocessing, Data Science, Machine Learning, Tensorflow, Data Mining, Tidyverse (R Package), Statistical Methods, Regression Analysis, Data Analysis, Bayesian Network, Logistic Regression
Intermediate · Course · 3 - 6 Months

University of Maryland, College Park
Skills you'll gain: Cybersecurity, Cyber Security Policies, Cyber Risk, Cyber Attacks, Cyber Governance, Cyber Security Strategy, Security Management, Infrastructure Security, Data Security, Threat Modeling, Computer Security, Security Awareness, Risk Management, Enterprise Security, Vulnerability, Governance, General Networking, Public Safety and National Security, Threat Detection, Artificial Intelligence
Beginner · Specialization · 3 - 6 Months

Stanford University
Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Clinical Research Ethics, Unstructured Data, Health Care, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence
Beginner · Specialization · 3 - 6 Months

HRCI
Skills you'll gain: Talent Acquisition, Recruitment, Full Cycle Recruitment, Job Analysis, Recruitment Strategies, Employee Onboarding, Negotiation, Employee Retention, Talent Sourcing, Workforce Planning, Human Resources, Interviewing Skills, Labor Law, Diversity and Inclusion
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Talent Acquisition, Training and Development, Compensation and Benefits, Training Programs, Recruitment, Employee Training, Full Cycle Recruitment, Job Analysis, Employee Performance Management, Compensation Management, Performance Appraisal, Job Evaluation, Developing Training Materials, Compensation Strategy, Performance Management, Human Resource Policies, Compliance Management, Regulatory Compliance, Employee Relations, Business Continuity Planning
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Debugging, Model Evaluation, Root Cause Analysis, Data Preprocessing, Software Visualization, Exploratory Data Analysis, Analysis, Performance Tuning, Performance Analysis, Quantitative Research
Intermediate · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks