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.

Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Model Optimization, Deep Learning, A/B Testing, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization
Intermediate · Specialization · 3 - 6 Months

Packt
Skills you'll gain: Alteryx, Spatial Data Analysis, Spatial Analysis, Data Cleansing, Data Import/Export, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Processing, Data Preprocessing, Data Integration, Data Transformation, Data Presentation, Document Management, Data Analysis Software, Spreadsheet Software, Data Analysis, Microsoft Excel, Text Mining, Data Visualization Software
Beginner · Course · 3 - 6 Months
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Plot (Graphics), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Data Analysis, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Scripting Languages, Data Transformation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Graph Theory, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Software Installation, Code Reusability, Functional Design, Programming Principles, Data Validation, Python Programming, Program Development, Scripting, Software Design, Computational Thinking, Development Environment, Computational Logic, Computer Programming, Algorithms, Command-Line Interface, Arithmetic, Problem Solving
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Stakeholder Analysis, Business Writing, Gap Analysis, Stakeholder Management, Business Analysis, Proposal Writing, Proposal Development, Stakeholder Engagement, Cost Estimation, Business Consulting, Consulting, Business Strategy, Decision Making, Analysis, Data-Driven Decision-Making, Management Consulting, Organizational Strategy, Business, Case Management, Finance
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Conversion Funnel Analysis, Google Analytics, Marketing Analytics, Data-Driven Marketing, Customer Analysis, Campaign Planning, Target Audience, Trend Analysis, Sprint Retrospectives, Marketing Effectiveness, Web Analytics, Campaign Management, Marketing Operations, Content Performance Analysis, Spreadsheet Software, Digital Analysis, Product Marketing, Competitive Analysis, Performance Management, Data Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Machine Learning Methods, Data Mining, Generative AI Agents, Generative AI, Generative Model Architectures, Prompt Engineering Tools, AI literacy, AI Product Strategy, Decision Intelligence, Big Data, Information Architecture, Strategic Decision-Making, Cloud Computing, Data Analysis, Data Science, Data Architecture, Leadership
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Probability & Statistics, Data Ethics, Pandas (Python Package), Machine Learning Methods, Statistical Methods, Bayesian Statistics, Data Literacy, Data Wrangling, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Data Processing, Data Architecture, Python Programming, Data Mapping, Data Integrity
Beginner · Course · 3 - 6 Months

Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis
Beginner · Specialization · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization Software, Statistical Visualization, Heat Maps, R Programming, Graphing, Data Wrangling, Graphics Software, Graphic and Visual Design
Intermediate · Course · 1 - 4 Weeks