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.
University of Michigan
Skills you'll gain: PHP (Scripting Language), Hypertext Markup Language (HTML), MySQL, Web Applications, Web Development, Cascading Style Sheets (CSS), Development Environment, Back-End Web Development, Database Development, Web Servers, Software Installation, Data Validation
Intermediate · Course · 1 - 3 Months

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Anomaly Detection, AI Product Strategy, Cloud Computing, Internet Of Things, Product Engineering, Prototyping, Industrial Engineering, Product Development, Data Science
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Modeling, Operational Databases, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric
Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Neurology, Physiology, Anatomy, Cell Biology, Psychology, Pathology, Molecular Biology
Advanced · Course · 3 - 6 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analytics, Statistical Methods, Analytical Skills, Data Science, Exploratory Data Analysis, Project Design, Predictive Modeling, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Portfolio Management
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Star Schema, Data Warehousing, Database Design, Data Mart, Data Modeling, Business Intelligence, Extract, Transform, Load, Data Integrity, Data Transformation, Performance Tuning, Data Quality, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Query Languages, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Dashboard, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Predictive Analytics, Feature Engineering, Regression Analysis, Data Analysis, Data Preprocessing, Data Manipulation, Data Cleansing, Data Wrangling, Forecasting, Data Validation, Workflow Management, Statistical Modeling, Data Transformation, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks