courseraАнализ данных

Advanced Data Analysis and Collaboration in Qlik Sense

Курс от Coursera

Продвинутый≈ 3 чАнглийский

О курсе

This course is an advanced level course designed for learners who want to use Qlik Sense to perform sophisticated data analytics, build dashboards, and communicate full reports and stories from their data. These advanced concepts include more than just visualization features such as dynamic filtering and conditional formatting, but more so data functionality such as advanced expressions, drill-downs, leads, lags, and more. This is important as these skills are directly required when creating sophisticated business analyses and dashboards. This course demonstrates the advanced functionalities of Qlik Sense. The course starts with advanced data analysis techniques, including both strict analysis like calculated fields, set analysis, etc. It then goes through advanced visualization and dashboard functionality, like dynamic filters, drill-downs, lags, leads, and more. Finally, the course demonstrates how to collaborate with other people, through sharing, bookmarking, and embedding dashboards and reports. "Advanced Data Analysis and Collaboration with Qlik Sense" is the third and final course in our series, building upon the foundations laid in "Data Ingestion, Exploration, and Visualization with Qlik Sense" and "Introduction to Data Visualization with Qlik Sense." Together, these courses provide a comprehensive skill set for leveraging Qlik Sense as a powerful tool for data analytics, empowering you to analyze data effectively, create impactful visualizations, and generate valuable insights for a wide range of business purposes, from performance tracking to decision-making and beyond. This program is designed for anyone interested in mastering advanced data analytics and visualization concepts with Qlik Sense. These include data and business analysts who regularly analyze and communicate with data. To excel in "Advanced Data Analysis and Collaboration with Qlik Sense," learners should have a solid grasp of Qlik Sense, including basic data analysis concepts and intermediate-level data visualization skills. Proficiency in using Qlik Sense's interface, creating fundamental visualizations, and working with data is essential. Additionally, learners should possess a foundational understanding of data analysis principles such as aggregations and filtering. Familiarity with basic scripting within Qlik Sense, including data loading and transformation, will be advantageous, as more advanced scripting techniques are introduced.