Data Science Festival Courses

Love and Robots - Filtering Cheeky from Toxic with AI Content Moderation

1 rating

Explore AI's role in content moderation, distinguishing harmful from benign content through context-aware technology to foster genuine online connections.

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

Data Analytics Competitions: A Guide for Success

1 rating

Discover strategies for excelling in data analytics competitions, from understanding their unique nature to securing top positions using various statistical approaches.

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

Feature Selection for Machine Learning

Explore feature selection methods for machine learning, including filter, wrapper, and embedded approaches. Learn to choose the most predictive variables for production-ready models.

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

Data Ethics - Mitigating Bias in Algorithms

Explore strategies for mitigating bias in AI algorithms, addressing a critical challenge faced by tech companies to build consumer trust and ensure ethical AI development.

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

Data Storytelling and Visualization

Learn effective techniques for communicating data-driven concepts through storytelling and visualization, applicable to both expert and non-expert audiences.

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

Data Preprocessing and Feature Engineering for Machine Learning

Master data preprocessing and feature engineering techniques for effective machine learning. Explore imputation, encoding, transformations, and more to maximize value from your data and improve model performance.

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

Bayesian Machine Learning - Benefits, Drawbacks, and Practical Applications

Explore Bayesian machine learning's benefits and drawbacks, focusing on model uncertainty and prior knowledge injection. Learn practical applications from Wise's Head of AI.

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

Advanced SQL Techniques for Data Science

Expand SQL knowledge with complex conditions, functions, joins, and data engineering concepts. Learn from Facebook's Data Engineering Manager in this advanced session.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Advanced Python Libraries for Data Science

Explore advanced Python libraries for data science, focusing on scikit-learn, TensorFlow, and PyTorch Geometric. Learn implementation, methodologies, and practical applications through code exercises.

• YouTube
• 1 hour 45 minutes
• Self-Paced
• Free Video

Top 4 Python Libraries for Data Science

Explore four essential Python libraries for data science: NumPy, Pandas, Matplotlib, and Seaborn. Learn their key benefits and practical applications in fundamental data science concepts.

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

Python 101 - Introduction to Python for Data Science

Learn Python basics for data science: explore versatile programming tools, efficient data computation, and knowledge extraction techniques.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

School of Data Science: An Approach to Developing and Nurturing Data Science Talent

Discover strategies for developing and retaining top data science talent through internal training programs and mentorship initiatives.

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

Modelling Your Career - Building a Framework for Career Satisfaction

Develop a strategic career map using data science principles to optimize your professional growth and satisfaction.

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

Adding Interactivity to Your Data Science Models - Getting Started with Streamlit

Learn to create interactive web apps for data science using Streamlit. Explore basic concepts, add widgets, interact with data, and deploy to the cloud. Build apps for visualization, model training, and analytics.

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

What Exactly Is Your Machine Learning? Exploring Ethical Implications and Challenges

Explore the depths of machine learning, discussing data, biases, technology, and human behaviors. Challenge ethical questions in predicting accurate outcomes.

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