Data Science Festival Courses

Maximizing Revenue: A Novel Approach to Optimizing Ad Strategy

Explore a novel approach to optimizing ad strategy for mobile apps, leveraging machine learning to maximize revenue without compromising user experience or in-app purchases.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Helping to Make AI a Force for Good

Explore AI's transformative impact on a century-old company, from developing innovative use cases to automating processes, while considering ethical implications and upcoming regulations.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

From Zero to Hero: Building an A/B Testing System from Scratch

Learn to build an A/B testing system from scratch, covering bucketing, splitting, feature toggling, and avoiding common pitfalls. Gain skills to implement successful testing for data-driven decision-making.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Maximizing Engagement Through Privacy-Preserving Content Recommendations

Explore innovative approaches to recommendation systems that maximize engagement while preserving user privacy, using reinforcement learning and semantic analysis techniques.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Building Vector-Powered Products with User Embeddings

Explore vector embeddings for user modeling, learn vector ops, and discover applications in recommender systems and bot detection. Gain insights from real-world deployments.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Leveraging AI to Create Healthier and Safer Online Communities

Explore AI strategies for combating online harm, addressing evolving adversarial behavior, and balancing safety with privacy in digital communities.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

7 Steps to Creating a Visually Perfect Dashboard Every Time

Master the art of creating impactful dashboards. Learn a 7-step framework to design visually appealing, audience-focused data visualizations that effectively communicate insights and drive business decisions.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Introduction to Statistics - Key Concepts and Applications

Learn fundamental statistical concepts, data types, and key terms. Explore data summarization, visualization techniques, and real-world applications in this comprehensive introduction to statistics.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Introduction to SQL - Basics, Schema Objects, and Querying Databases

Learn SQL basics, schema objects, tables, and key syntax for querying databases with live examples from a Mars Petcare Data Engineer.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Introduction to Reinforcement Learning - Creating AI for Atari Games

Explore reinforcement learning and convolutional neural networks to create AI for Atari games. Gain practical code examples and navigate deep reinforcement learning complexities.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Introduction to R for Data Science

Explore R for data science: data manipulation, visualization, and basic machine learning. Learn practical skills for effective data analysis and modeling.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Introduction to Python Libraries and Algorithms for Machine Learning

Explore Python libraries and algorithms for machine learning, covering regression, clustering, and classification using popular tools like Pandas.

• YouTube
• 1 hour 51 minutes
• Self-Paced
• Free Video

Retail Media Science: From Measurement to Optimization

Explore retail media fundamentals, budget optimization techniques, and advanced marketing modeling approaches for effective measurement and optimization in the retail media landscape.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Introduction to Natural Language Processing and Deep Learning

Explore NLP and deep learning techniques, from traditional word embedding to modern attention mechanisms, with practical examples for extracting insights from text data.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Introduction to Neural Networks

Explore neural networks, their components, and architectures. Learn about RNNs, LSTMs, and CNNs with practical examples in Python for movie review and image classification tasks.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video