Statistics for data analysis courses can help you learn descriptive statistics, inferential statistics, hypothesis testing, and regression analysis. You can build skills in data visualization, interpreting results, and making data-driven decisions. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and creating visual representations of data.

Coursera
Skills you'll gain: Agile Software Development, Program Management, Responsible AI, Planning, Generative AI, AI literacy, Risk Analysis, Prompt Engineering, Analytics
★ 4.5 (15) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Email Automation, Email Marketing, ChatGPT, Prompt Engineering, AI Workflows, Content Performance Analysis, Generative AI, Workflow Management, Copywriting, Editing, Performance Analysis, Writing and Editing, Writing, Branding, Program Standards, Version Control
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Pandas (Python Package), Analytics, Plot (Graphics), Model Evaluation, Statistical Visualization, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Numerical Analysis, Model Training, Data Manipulation, Exploratory Data Analysis, Advanced Analytics, Descriptive Statistics, Linear Algebra
Beginner · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Computer Graphics, Computer Graphic Techniques, Graphic and Visual Design, Typography, Visual Design, Design, Python Programming, Analytical Skills
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Splunk, Pivot Tables And Charts, Unstructured Data, Data Visualization Software, Dashboard Creation, Data Modeling, Dashboard, Anomaly Detection, Data Wrangling, Data Transformation, Event Monitoring, Continuous Monitoring
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: C++ (Programming Language), Data Structures, File I/O, Data Cleansing, Data Storage, Data Integrity
★ 4.6 (49) · Intermediate · Guided Project · Less Than 2 Hours

University of California, Davis
Skills you'll gain: Fundraising, Fundraising and Crowdsourcing, Proposal Writing, Grant Writing, Philanthropy, Proposal Development, Gift Accounting, Prospecting and Qualification, Campaign Management, Grant Applications, Tax Planning, Ethical Standards And Conduct, Business Ethics, Marketing Planning, Customer Relationship Building, Direct Marketing, Advertising Mail, Business Writing, Developing Training Materials, Campaign Planning
★ 4.6 (403) · Beginner · Specialization · 3 - 6 Months

ESSEC Business School
Skills you'll gain: Peer Review, Analytical Skills, Complex Problem Solving, Data Synthesis, Data Literacy, Data Analysis, Constructive Feedback, Value Propositions, Data Integration, Exploratory Data Analysis, Data Presentation, Presentations
★ 4.2 (56) · Mixed · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Oral Comprehension, Language Competency, Literacy, Grammar, English Language, Vocabulary, Language Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Architecture, LLM Application, Data Quality, AI Workflows, Generative AI, Data Governance, Data Pipelines, Extract, Transform, Load, Distributed Computing, Data Management, Self Service Technologies, Cloud Storage, Data Processing, Data Storage, Scalability, Data Wrangling, Data Collection
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Vision Transformer (ViT), Generative AI, OpenAI API, ChatGPT, Fine-tuning, Generative Model Architectures, Responsible AI, Retrieval-Augmented Generation, Large Language Modeling, Natural Language Processing, AI powered creativity, Multimodal Prompts, Hugging Face, OpenAI, AI Orchestration, Transfer Learning, Generative AI Agents, Embeddings, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Databricks, Data Governance, Microsoft Azure, Data Lakes, Real Time Data, Data Management, Data Integration, Data Pipelines, Metadata Management, Data Import/Export, User Provisioning, Performance Tuning
★ 4.6 (8) · Advanced · Course · 1 - 4 Weeks