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.

EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Portfolio Risk, Investments, Return On Investment, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Python Programming, Simulations, Pandas (Python Package), Matplotlib, Data Manipulation
Mixed · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Database Design, SQL, MySQL, Relational Databases, Databases, Data Modeling, Development Environment, PHP (Scripting Language), Software Installation
Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Beginner · Specialization · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Data Storytelling, Revenue Recognition, Data Visualization, Data Literacy, Accrual Accounting, Infographics, Cash Flows, Accounting, Data Collection, Data Quality, Business Analytics, Financial Statements, Financial Accounting, Business Analysis, Big Data, Analytics, Asset Management, Data Analysis, Intellectual Property, Network Model
Intermediate · Specialization · 3 - 6 Months

University of London
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation
Beginner · Course · 1 - 3 Months

IBM
Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, LangChain, ChatGPT, Responsive Web Design, Restful API, LLM Application, Computer Vision, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft Office, Data Entry, Microsoft 365
Intermediate · Guided Project · Less Than 2 Hours
Duke University
Skills you'll gain: Predictive Modeling, Microsoft Excel, Classification Algorithms, Business Analytics, Logistic Regression, Data Analysis, Model Evaluation, Business Risk Management
Beginner · Course · 1 - 3 Months
University of London
Skills you'll gain: Data Preprocessing, Machine Learning, Artificial Intelligence, Model Evaluation, Data Analysis, Image Analysis, Data Collection, Classification Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Yale University
Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Economics, Policy, and Social Studies, Social Sciences, European History, Law, Regulation, and Compliance, Governance, Ethical Standards And Conduct, Socioeconomics, Economics
Mixed · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

Princeton University
Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability
Intermediate · Course · 1 - 3 Months