
Discover how Teradata VantageCloud and Azure ML integration accelerates AI and ML insights at scale, overcoming deployment challenges and unlocking data-driven value for organizations.

Accelerate BI & ML initiatives with Qlik's high-performance data integration for Azure Synapse and Power BI. Learn about automated pipelines, self-service catalog, and real-time data integration to drive agility in analytics.

Learn to use Jupyter notebooks for coding projects, including markdown, LaTeX, code execution, and debugging. Ideal for beginners in scientific computing and data analysis.

Explore emerging technologies' practical applications in healthcare, AI, cloud computing, and more. Gain insights from industry expert on latest advancements and their real-world impact.

Explore computer basics, from hardware components to programming languages, and create your first program and simple game in this beginner-friendly introduction to computing.

Learn to build a real-time TikTok data analytics dashboard using Python, Streamlit, and Plotly. Covers data extraction, ETL pipeline creation, and interactive visualization techniques.

Comprehensive Python tutorial covering fundamentals, data structures, control flow, functions, OOP, modules, file handling, and math operations, with practical data science applications and projects.

Learn Python conditions and loops for data science, covering if-else statements, logical operators, loop types, and iterating through lists and dictionaries with practical applications.

Learn essential Python concepts for data science: variables, data types, lists, and dictionaries. Gain practical skills through hands-on examples and clear explanations.

Learn Python for data science: set up Jupyter Notebooks, understand its basics, write your first code, and explore Python in various environments. Perfect for beginners starting their data science journey.

Learn essential SQL skills for data science, including SELECT, JOIN, aggregations, CTEs, and window functions. Apply these techniques to time series forecasting and fraud prediction.

Explore data science techniques for fraud detection, including feature engineering, SQL querying, model creation, evaluation, and interpretation, with hands-on coding examples.

Learn to build multi-page Python web apps with Streamlit's new native support. Covers setup, demo, project structure, code walkthrough, page reordering, and live app creation.

Learn to build a GitHub Stars History Tracker using Python and Streamlit. Create an end-to-end web app that visualizes repository star data, from design to deployment on Streamlit Cloud.

Learn to create stunning ggplot2 bar charts in R, from basic techniques to advanced theming. Master data cleaning, chart customization, and professional visualization using real-world crime data.

Learn to deploy LayoutLMv3 for document classification using Streamlit and HuggingFace Spaces. Covers model loading, input preparation, and classification process, resulting in a functional demo app.

Explore robustness in computer vision across data abundance scenarios, addressing benchmarking challenges and efficient learning for diverse object categories using federated dataset design.

Explore tinyML success stories with Pete Warden, discussing game-changing technologies, innovations, and future visions in the field of machine learning on tiny devices.

Explore market opportunities for edge ML with industry experts, discussing growth potential, future trends, and promising technologies in industrial applications, smart buildings, and IoT.

Learn to manipulate geotiff files using rasterio in Python, including reading, plotting, and performing NDVI calculations. Gain practical skills for working with satellite imagery and geospatial data analysis.

Explore implementing filters in Haystack's new document store, covering filter utilities, writing and testing filters, and integrating them into the pipeline.