
Transition from Microsoft Excel to QlikView by building reports and dashboards with in-memory processing and ETL concepts for intuitive data exploration.
Import Excel data into QlikView to mirror your spreadsheet, including order information and user information, then create a table and script to load it.
Master the import data exercise by creating user sheets, configuring data labels, and importing data, then save, reload, and extend the data structure for analysis in Qlikview.
Decide where to place calculations in qlikview: back end script for global use or front end for each object, illustrating sales and profit with proper brackets.
Learn to create calculations in Qlikview as you transition from Excel, examining gross sales and profit margins.
Learn to create and customize charts in QlikView, including bar, pie, and line charts, using ship mode and frequency to analyze data by date.
Learn to implement if statements in qlikview, using front-end and back-end scripts to categorize shipping costs into high, normal, and low based on business rules.
Learn to map values between tables in QlikView using a mapping table and the mapping keyword, mirroring Excel's lookup function, with default value behavior.
Learn to build simple tables in Qlikview, using frequency and sum expressions to summarize orders by priority and sales, with on-the-fly sorting and formatting.
Learn to create pivot tables in QlikView by selecting multiple dimensions, configuring order of priority, and presenting product category and shipping data through table structure and properties.
Explore how to filter data in QlikView by selecting fields, regions, and values, using list boxes and search, and track and clear current selections to refine visuals.
Format your data in qlikview by applying number formats, currency prefixes, decimal precision, text alignment, and caption colors to improve readability for end users.
Master conditional formatting to highlight sales data with color cues in QlikView, using red for sales under 25,000 and green for sales over 70,000, and prefer background color for readability.
learn to validate data in qlikview using evaluation functions for numeric, text, and date fields; apply script-based checks with is numeric, is NULL, and date and hash functions during reload.
Learn to clean messy data in Qlikview by using text to columns, splitting delimited fields with the subfield function, and creating new fields like region and manager.
Implement what-if analysis in Qlikview by modeling sales changes, such as a 10 percent increase, and view the impact on total sales through a dynamic input variable.
Insert images in QlikView to enhance reports: add image objects, adjust properties (load, stretch, fill, transparency), and combine with text to illustrate sales context and headcount.
Learn to create comprehensive QlikView reports fast by assembling metrics and charts on a single sheet, using interactive filters, charts (bar, pie, line), and dynamic selections.
Learn how to display the top 10 rows in Qlikview by sorting products in descending order, configuring the row limit and formatting sales data for clear manager views.
Explore how to transition from Microsoft Excel to QlikView and build your data skills through this course. Contribute by leaving a review to help future students and improve business outcomes.
Welcome to the course Transition from Excel to QlikView. This course is designed to keep two types of audience in mind. First type of audience is the one who already knows how to create the reports in excel and do all the background work. And second type of audience is who have no experience in working either in excel but have some background on programming languages.
Both of these types of audience can kick start their career in Business Intelligence using this Business Discovery Tool.
So hurry up and just spend 3 hours with me to make a great shift in your career by learning this new cutting edge technology.