Alteryx Tutorial for Beginners
Comprehensive Alteryx tutorial covering essentials, data types, workflows, functions, and advanced techniques. Includes hands-on exercises for practical learning and skill development in data analysis and preparation.
Power BI Master Tutorial
Master data processing and visualization with Power BI. Learn to build queries, prep data, create relationships, and develop interactive dashboards. Gain skills in advanced analytics, AI visuals, and custom visualizations.
3D GIS
Explore 3D GIS techniques using ArcGIS, including point cloud and scene layers, web scenes, and 3D web GIS applications in ArcGIS Online and Web AppBuilder.
The New DBification of ML-AI
Explore the intersection of ML/AI and databases, addressing scalability and usability challenges in ML systems through database principles and techniques.
Data Preparation Toolkit for LLM Application Developers
Explore the critical role of data preparation in developing high-performing Large Language Models (LLMs) in this one-hour webinar from Data Science Dojo. Delve into the importance of quality and quantity in text and code corpora for training LLMs. Learn…
MLOps with PyCaret - Practical Demo for Data Science Workflows
Supercharge your data science team's productivity with PyCaret, an open-source ML library for efficient model preparation and deployment in Python.
From Concept to Production: Template for the Entire ML Journey - Part 1
Develop a production-ready ML pipeline from concept to deployment using Python. Gain hands-on experience with data prep, model training, and deployment on Google Cloud Platform.
From Concept to Production: Building a Production-Ready ML Pipeline - Part 2
Develop a production-ready ML pipeline from concept to deployment using Python, Kubeflow, and Google Cloud Platform. Master data prep, model training, and orchestration techniques.
Keras Tutorial With TensorFlow - Building Deep Learning Models With Python
Learn to build deep learning models using Keras and TensorFlow in Python. Covers data preparation, neural network construction, and practical implementation with hands-on examples.
Python Machine Learning Tutorial - Data Science
Learn to predict music preferences using Python and machine learning. Covers data preparation, model training, accuracy calculation, and decision tree visualization in a hands-on tutorial.
Preparing Data for Machine Learning Models
Learn essential techniques for preparing data in machine learning, including preventing data leakage, building pipelines, cross-validation, and data balancing. Explore a real-world case study on hiring data scientists.
Excel 2019 - Intro to Data Analysis Tutorial
Learn essential data analysis techniques in Excel 2019, including table formatting, conditional functions, charting, and pivot tables. Gain skills to effectively analyze, summarize, and visualize your data.
Introduction to Hierarchical Clustering with College Scorecard Data
Learn hierarchical clustering using College Scorecard data to group similar schools. Explore clustering methods, data preparation, and practical application for student decision-making in higher education.
Power BI Professional Tutorial
Comprehensive tutorial on Power BI covering data management, sharing, and visualization. Learn to create dashboards, manage workspaces, and optimize datasets for effective business analytics.
Power BI Expert Tutorial
Comprehensive tutorial on data visualization, from creating reports and dashboards to implementing accessibility features and real-time data streaming in Microsoft's business analytics platform.
Power BI Advanced Tutorial
Advanced Power BI techniques for data analysis and visualization, covering calculated tables, DAX functions, performance optimization, and creating interactive dashboards for effective business intelligence.
Power BI Beginner Tutorial
Learn to build queries, prep data, create relationships, and develop interactive dashboards using Microsoft's Power BI. Master essential functions for data analysis and visualization in this comprehensive tutorial.
Garbage In-Garbage Out - Responsible AI Development
Rola człowieka w tworzeniu AI: od definiowania celów po etyczne wdrażanie. Prof. Szczuko omawia kluczowe etapy odpowiedzialnego rozwoju sztucznej inteligencji i uczenia maszynowego.
Using Visual Dataprep in Unreal Engine
Learn to optimize AEC and manufacturing CAD assets with Visual Dataprep in Unreal Engine. Explore UI, workflows, performance optimization, repeatable recipes, and custom Blueprint operators for efficient data preparation.
Excel 2019 - Intro to Data Analysis Tutorial
Learn essential data analysis techniques in Excel 2019, including table formatting, conditional functions, charting, and pivot tables. Gain skills to effectively analyze, summarize, and visualize your data.
Prepping Data for Analysis in R
Comprehensive workshop on data preparation for analysis in R, covering common issues, automated solutions, and practical demonstrations using open-source tools and packages.