
Learn to clean data, create PivotTables, and use Power Query and Power Pivot in Excel 2016. Master data transformation, import large datasets, and build efficient data models for advanced analysis.

Learn to create dynamic sales reports and dashboards using Power BI Desktop. Master data import, cleaning, transformation, and visualization techniques for effective financial analysis and monitoring.

Learn to import, clean, and analyze data using Power Query and PivotTables. Master techniques for efficient data management, creating insightful reports, and optimizing file size in Excel for accounting purposes.

Learn advanced Power Query techniques to analyze customer coupon usage across multiple stores, including counting and extracting customer names for various coupon groups.

Learn to use Power Query in Excel for data cleaning, transformation, and analysis. Master importing, combining, and refreshing data from various sources to create proper datasets and pivot tables.

Explore Industrial IoT implementation using Azure IoT Central, covering cloud connectivity, integration with Microsoft and partner solutions, and recent features like private link support and data transformation.

Interactive simulation covering ServiceNow platform essentials, including user interface, branding, lists, forms, task management, notifications, reporting, and service catalog functionalities.

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.

Comprehensive tutorials on Elastic Stack components, covering installation, configuration, and advanced features for efficient log management and monitoring.

Learn Elasticsearch and Kibana basics through short videos covering key concepts, operations, queries, and data visualization techniques for developers new to these powerful tools.

Learn to optimize AWS EC2 Spot Instances for cost-effective, scalable cloud computing. Explore automatic scaling, instance flexibility, and integration with various AWS services for efficient workload management.

Explore advanced data wrangling techniques in Julia, covering reading, cleaning, tidying, analyzing, and visualizing data using two sample datasets for practical application.

Comprehensive introduction to Python Pandas, covering installation, data structures, file operations, data manipulation, and transformation techniques for beginners in data analysis.

Expand Excel skills with advanced functions, data manipulation techniques, and time-saving features. Master logical operations, lookups, filtering, and date handling for improved productivity and analysis.

Comprehensive tutorial covering Excel 2021 basics to advanced features. Learn interface navigation, formulas, data organization, pivot tables, functions, and time-saving automation techniques for increased efficiency.

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.

Learn to import, analyze, and visualize data using Power BI Desktop. Master data cleaning, DAX, Power Query, and create insightful visualizations for effective business intelligence.

Comprehensive overview of data mining essentials, covering data types, quality, preprocessing, similarity analysis, and visualization techniques for effective data-driven decision making.

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.

Learn text analytics fundamentals, data processing, machine learning models, and visualization techniques using R. Master handling big data and optimizing models for valuable insights from unstructured text.

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.