Sports Analytics Courses

Coursera

Data Querying in C#: Ecommerce Analytics API

Build an e-commerce data retrieval API in ASP.NET Core: query, sort, filter, group, and join product, customer, and order data using LINQ and EF Core.

• Coursera
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

AI for Customer Experience with Chatbots and Analytics

Design AI-driven customer experience strategies: apply hyper-personalization, deploy smart chatbots with Claude and Gemini GEM, use predictive analytics, and set responsible AI adoption guidelines.

• Coursera
• 3 hours 45 minutes
• Self-Paced
• Paid Course

Linear Algebra for ML and Analytics Training

Learn to solve systems of linear equations, perform matrix operations, and use vectors in linear transformations, then apply these foundations to PCA for dimensionality reduction.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Advanced Google Analytics - A Practical Guide

Set up Google Analytics 4 tracking and interpret core metrics, then build custom dimensions, filters, calculated metrics, and reports while analyzing attribution, events, and conversion paths.

• Coursera
• 23 weeks, 1 hour a week
• Self-Paced
• Paid Course

LearnKartS

Real-Time Data Pipelines & Analytics on AWS

Build real-time data pipelines on AWS: process streaming data with Kinesis, tune Redshift clusters, run Glue ETL, query with Athena, and visualize in QuickSight.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Edureka

Applied Data Analytics with Python and SQL

Learn to analyze data with Python: clean and manipulate datasets using NumPy and Pandas, query MS SQL Server, scrape web data, and visualize insights with charts.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Coursera

ThoughtSpot-Based BI Analytics

Use ThoughtSpot to turn complex data into actionable insights, working with interactive dashboards, AI-powered analytics, and business scenarios that support data-driven decisions.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

Fullstack Cybersecurity Analytics Bootcamp (Live Online)

Transform your career and join the fight against cybercrime with Fullstack Academy's immersive Fullstack Cybersecurity Analytics Bootcamp.

• CourseHorse
• 162 hours
• Self-Paced
• $12,995.00

Fullstack Data Analytics Bootcamp (Live Online)

Experience the Fullstack Data Analytics Bootcamp at Fullstack Academy and gain the skills needed for a successful career in data analytics.

• CourseHorse
• 243 hours
• Self-Paced
• $14,495.00

Fullstack Cybersecurity Analytics Bootcamp (Live Online)

Transform your career and join the fight against cybercrime with Fullstack Academy's immersive Fullstack Cybersecurity Analytics Bootcamp.

• CourseHorse
• 162 hours
• Self-Paced
• $12,995.00

Fullstack Data Analytics Bootcamp (Live Online)

Experience the Fullstack Data Analytics Bootcamp at Fullstack Academy and gain the skills needed for a successful career in data analytics.

• CourseHorse
• 162 hours
• Self-Paced
• $12,995.00

Coursera

Real-time analytics with Spark: User Activity Monitoring

Build streaming pipelines with Spark Structured Streaming: configure micro-batches and checkpointing, transform with filters and aggregations, handle late data with watermarks, and write Parquet sinks.

• Coursera
• 1 hour 57 minutes
• Self-Paced
• Paid Course

Future of AI in Sports and Practical Applications

Explore where AI is taking sports: robotics and autonomous tactical systems, smart wearables, AR broadcasting and immersive fan platforms, plus ethics, governance, and innovation hubs like Real Madrid Next.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Strategies and Approaches in Sports Media

Craft sports media that builds fan communities: storytelling and live reporting, social platform engagement, sponsorship activations and brand partnerships, and media rights packaging and sales.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

The Evolution of Sports Media

Trace sports media from print reporting and live broadcasting to streaming, influencers and fan-driven content, examining monetization models, piracy, and legal and ethical dilemmas.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course