
Step-by-step guide to creating an interactive sales dashboard in Excel, covering data setup, calculations, dynamic charts, and advanced features for a comprehensive and visually appealing analysis tool.

Master essential Excel functions for data analysis: VLOOKUP, XLOOKUP, IF statements, forecasting tools, and conditional formatting. Enhance your business analysis skills with practical examples and downloadable files.

Learn essential Excel formulas and functions, from basic SUM to advanced VLOOKUP and INDEX MATCH, to enhance your spreadsheet skills and productivity.

Explore AnVIL's genomic data sharing platform, clinical research support, and cloud computing solutions. Learn about program renewals, key components, and future developments in this informative presentation.

Informative webinar on NHGRI's MorPhiC program, detailing funding opportunities, goals, and application process for research on molecular phenotypes of null alleles in cells.

Master essential Excel lookup functions: VLOOKUP, HLOOKUP, INDEX MATCH, and XLOOKUP. Learn exact and approximate matches, expanding data, and combining functions for efficient data retrieval and analysis.

Comprehensive tutorial on advanced Excel pivot tables, covering data import, cleaning, manipulation, and formatting. Ideal for intermediate users seeking to enhance their data analysis skills.

Comprehensive introduction to Power BI, covering installation, data import, query merging, table relationships, and date handling. Learn to create dynamic dashboards and reports for data analysis and visualization.

Master advanced Excel functions like VLOOKUP, IF, and forecasting. Learn to manipulate dates, use financial formulas, and apply statistical analysis for data-driven decision making.

Explore topological algorithms for time series comparison using persistent homology. Learn implementation in R, understand caveats, and gain practical insights through live coding and dataset analysis.

Learn to create reliable, reusable Python scripts in KNIME for efficient collaboration. Explore low-code approaches with components and full-code methods for writing KNIME nodes and extensions in Python to boost organizational productivity.

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.

Discover key organizational foundations for AI and analytics success: organizational design, data strategy, and technology implementation. Learn proven methods to boost project success rates.

Explore trend analysis using WallStreetBets data from Reddit. Learn data acquisition, parsing, and unsupervised methods for topic modeling, timelines, and prediction in this insightful webinar.

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 advanced Microsoft Access 2019 features, covering form and report design, query techniques, data relationships, automation, and database security for improved efficiency and functionality.

Comprehensive tutorial on Power BI covering data management, sharing, and visualization. Learn to create dashboards, manage workspaces, and optimize datasets for effective business analytics.

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.

Advanced Power BI techniques for data analysis and visualization, covering calculated tables, DAX functions, performance optimization, and creating interactive dashboards for effective business intelligence.

Advance your Power BI skills with data shaping, enhancing data structure, designing data models, creating relationships, and implementing Row-Level Security (RLS) for improved data analysis and visualization.