Sports analytics courses can help you learn data collection techniques, statistical analysis, performance metrics, and predictive modeling. You can build skills in interpreting game statistics, evaluating player performance, and using data to inform coaching strategies. Many courses introduce tools like R, Python, and Tableau, that support analyzing sports data and visualizing trends, enabling you to make informed decisions based on quantitative insights.

University of California San Diego
Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Predictive Analytics, Verification And Validation, Statistical Modeling, Model Optimization, Applied Machine Learning, Regression Analysis, Supervised Learning, Python Programming, Text Mining, Classification Algorithms, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
University of Glasgow
Skills you'll gain: Descriptive Analytics, ICD Coding (ICD-9/ICD-10), Health Informatics, Medical Records, Data Mining, Medical Coding, Electronic Medical Record, Patient Flow, Predictive Analytics, Clinical Research, Database Design, Health Information Management, Descriptive Statistics, Applied Machine Learning, Predictive Modeling, Precision Medicine, Data Access, Query Languages, SQL, Interoperability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Perl (Programming Language), Data Processing, Statistical Programming, Data Manipulation, Code Reusability, Data Structures, Data Transformation, Data Analysis, Data Storage
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Video Production, Web Analytics and SEO, Search Engine Optimization, Videography, Media Production, Driving engagement, Content Development and Management, Content Strategy, Video Editing, Content Performance Analysis, Social Media Content, Content Creation, Content Optimization, Digital Content, Branding, Brand Strategy, Live Streaming, Growth Strategies, Storytelling, Editing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Correlation Analysis, Data Visualization, Data Manipulation, Plot (Graphics), Data Wrangling, Data Import/Export, JSON, Statistical Visualization, Data Cleansing, Data Transformation, Data Visualization Software, Data Preprocessing, Exploratory Data Analysis, Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Portfolio Risk, Portfolio Management, Financial Analysis, Financial Data, Analysis, Data Analysis, Risk Management, Quantitative Research, Investment Management, Performance Analysis, Risk Analysis, Analytics, Financial Acumen, Investments, Asset Management, Performance Metric, Case Studies
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Manufacturing Processes, Automation, Internet Of Things, Manufacturing Standards, Quality Assurance, Manufacturing Operations, Production Process, Process Control, Laboratory Testing, Materials science
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Dashboard Creation, Data Warehousing, Data Presentation, Relational Databases, Database Development, Data Access, Database Management, SQL, Query Languages, Data Management, Data Analysis, Data Analysis Software, Cloud Computing, Benchmarking, Market Share
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Computing Platforms
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Model Evaluation, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Model Training, Supervised Learning, Predictive Modeling, Machine Learning
Intermediate · Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Embeddings, Large Language Modeling, LLM Application, Anomaly Detection, Retrieval-Augmented Generation, Prompt Engineering, Generative AI, Google Cloud Platform, Text Mining, Natural Language Processing, Vector Databases, Unsupervised Learning, Python Programming
Beginner · Project · Less Than 2 Hours