Excel Power Query - Get & Transform
Simplify data transformation and analysis with Power Query. Learn to import, clean, and combine data from various sources, automate repetitive tasks, and create dynamic reports effortlessly.
Learn Python Pandas - Pandas Course for Beginners
Comprehensive introduction to Python Pandas, covering installation, data structures, file operations, data manipulation, and transformation techniques for beginners in data analysis.
Microsoft Power BI for Beginners - Power BI Crash Course
Learn Power BI essentials: data import, transformation, modeling, DAX, visualizations, and publishing. Master key features for effective business intelligence and data analysis in just two hours.
Data Mining Crash Course
Comprehensive overview of data mining essentials, covering data types, quality, preprocessing, similarity analysis, and visualization techniques for effective data-driven decision making.
Between the Spreadsheets - Classifying and Fixing Dirty Data for Data Science
Learn to identify, clean, and manage dirty data for accurate insights and decision-making. Discover real-life examples, quick Excel fixes, and best practices to elevate your data analysis skills.
How to Transform Excel Data into a Striking Visual Report with Microsoft Power BI
Transform Excel data into interactive visual reports using Microsoft Power BI. Learn importing, data manipulation, DAX expressions, chart creation, and report customization in this beginner-friendly tutorial.
Intermediate Microsoft Excel Tutorial - How to Use Power Query
Learn Power Query in Excel: Import, transform, and consolidate data efficiently. Master data cleaning, column manipulation, merging tables, and formula creation for streamlined data management.
Introduction to jq - Lightweight and Flexible Command-Line JSON Processor
Explore jq, a powerful JSON processor. Learn command-line options, filters, data manipulation techniques, and practical applications for efficient JSON handling and transformation.
Inside TensorFlow - TF Input Pipeline
Explore TensorFlow's tf.data input pipeline, covering data sources, transformations, performance optimizations, and advanced features for efficient data handling in machine learning workflows.
TensorFlow Extended - TFX Overview and Pre-Training Workflow
Explore TensorFlow Extended's pre-training workflow, focusing on data validation and transformation for robust machine learning pipelines. Learn key components and best practices for efficient ML development.
La AlquimIA de los Modelos de Lenguaje - De Datos Crudos a Oro Puro
Explora conceptos básicos e intermedios para utilizar modelos de lenguaje más allá de ChatGPT, transformando datos crudos en valiosos resultados con la guía de una experta en IA y arte digital.
Securing Non-Production Databases with Data Masking and Subsetting
Protect sensitive data in non-production databases through data masking and subsetting techniques. Learn implementation methods, deployment options, and see a live demo of creating and applying masking formats.
Embedded Linux Quality Assurance: How to Not Lie with Statistics
Explore statistical quality assurance for embedded Linux systems, covering best practices, automated testing, and data evaluation using R. Learn to avoid common pitfalls in interpreting results.
ETL with Meltano and Singer in the LLM Era
Explore how traditional ETL tools like Singer and Meltano can enhance data pipeline management for LLM applications, addressing production-level challenges beyond basic LangChain capabilities.
Data Alchemy: Transforming Raw Data to Gold with Apache Hudi and DBT
Discover how to build efficient medallion architecture using Apache Hudi's CDC feature and DBT for incremental data processing, enabling low-latency analytics and streamlined data transformation workflows.
Going Beyond Observability - Grafana for Data Analysis and Visualization
Discover how Grafana evolves beyond monitoring to become a comprehensive data analysis platform, featuring new visualization tools and enhanced transformation capabilities for diverse analytical needs.
Unveiling the Power of dbt and DuckDB - Hype vs Reality
Explore the practical applications and limitations of combining dbt and DuckDB for data transformations, examining real-world use cases and performance considerations.
The Real Modern Data Stack - Building ETL Pipelines with Open Source Tools
Discover how to build powerful, cost-effective ETL data stacks using open-source tools like sling, dbt, duckdb, and dagster - transforming months of implementation into rapid deployment.
Visualizing Data with Power BI
Explore data visualization techniques using Power BI, covering key features, data modeling, and creating impactful visualizations for effective business intelligence and reporting.
An AI Engineer Technical Guide to Feature Store with FEAST
Comprehensive guide to FEAST feature store for AI engineers, covering installation, setup, data handling, and integration with machine learning models. Includes hands-on examples and architecture review.
Modern and Postmodern Data Stack - Architecture and Why You Need It
Explore modern and postmodern data stack architectures, their features, and importance in data engineering. Learn why organizations need to evolve their data infrastructure for improved analytics and decision-making.