Data Science Festival Courses

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

Introduction to Natural Language Processing - Key Concepts and Business Applications

Explore key NLP concepts, business applications, and cloud computing's role in training complex models. Gain insights into how machines understand human language and process it rapidly.

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

Introduction to Machine Learning - Clustering - Part 3

Explore clustering in machine learning, focusing on k-means and hierarchical algorithms. Learn to uncover data relationships and apply techniques with practical considerations.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Introduction to Machine Learning: Classification Techniques - Part 2

Explore classification techniques in machine learning, including logistic regression and KNN, with practical insights from industry experts.

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

Introduction to Machine Learning: Regression - Part 1

Explore regression in machine learning: estimate relationships, predict outcomes, and apply algorithms for continuous target variables. Learn evaluation techniques and practical considerations.

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

Introduction to Linear Algebra for Data Science

Explore core linear algebra concepts in data science, from vector representations to matrix factorization, with real-world applications in text similarity, image processing, and content recommendation.

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

Introduction to Graph Databases

Explore graph databases, their comparison to relational databases, and ideal use cases. Learn about property graphs and gain resources for further study in this informative introduction.

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

Introduction to Git and Source Control for Software Development

Learn Git fundamentals for source control in software development, including key concepts and commands demonstrated through practical examples.

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

Introduction to Data Exploration Using Microsoft Excel

Explore data using Excel: Learn importing, cleaning, basic functions, and statistical analyses for valuable insights from a Mars Petcare Data Engineer.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Introduction to Databases - Foundational Concepts and Business Applications

Gain foundational knowledge of databases, their structure, and applications in solving real-world problems. Explore data types, analytics cubes, and structured data formats.

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