Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

Skills you'll gain: ASP.NET, .NET Framework, Identity and Access Management, Full-Stack Web Development, Web Applications, Microsoft Azure, Web Development, Cloud Deployment, Application Deployment, Authorization (Computing), Authentications, Databases, Software Architecture, Payment Systems, Software Design Patterns, Data Modeling, User Interface (UI)
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Salesforce, Salesforce Development, Marketing Automation, User Experience, Data Mapping, Content Management, UI Components, Authentications, Cloud Development, Data Sharing, Customer Service, Cloud Management, Cloud Services, Encryption, Business Strategy
Beginner · Course · 3 - 6 Months

Skills you'll gain: Sales Process, Sales Pipelines, Personal Development, Sales Operations, Sales Management, Professional Development, Sales Training, Sales, Account Management, Sales Strategy, Mentorship, Process Optimization, Employee Coaching, Forecasting, Self-Awareness, Customer Engagement, Customer Relationship Building, Stress Management, Customer Relationship Management (CRM) Software, Customer Relationship Management
Beginner · Course · 1 - 4 Weeks

New York Institute of Finance
Skills you'll gain: Risk Management, Business Risk Management, Portfolio Risk, Risk Modeling, Operational Risk, Enterprise Risk Management (ERM), Credit Risk, Risk Analysis, Portfolio Management, Capital Markets, Financial Market, Investment Management, Regulatory Requirements, Financial Regulation, Probability Distribution
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning
Intermediate · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Communication, Business Communication, Intercultural Competence, Teamwork, Professional Development, Telecommuting, Adaptability, Self-Awareness, Demography
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Application Security, Infrastructure Security, Data Security, Information Systems Security, Internet Of Things, Threat Modeling, Cybersecurity, Cloud Security, Security Engineering, Cryptography, Secure Coding, Network Security, Cyber Risk, Cyber Attacks, Mobile Security, Vulnerability, Vulnerability Scanning, Cloud Services, Web Applications, Cloud Platforms
Mixed · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Bioinformatics, Algorithms, Data Structures, Text Mining, Theoretical Computer Science, Computational Thinking
Intermediate · Course · 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Model Evaluation, Feature Engineering, Model Deployment, Interactive Data Visualization, Data Wrangling, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Machine Learning, Problem Solving, Python Programming
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Malware Protection, Cyber Attacks, Cybersecurity, Network Security, Cyber Security Policies, Brute-force attacks, Distributed Denial-Of-Service (DDoS) Attacks, Security Controls, Security Awareness, Firewall, Multi-Factor Authentication, Encryption
Beginner · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
Advanced · Professional Certificate · 3 - 6 Months