Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist
Excel is one of the most widely used data sources for data analysts, and it is often a critical component of many data analysis projects. In this article, we will take a look at how data analysts can use Excel files in QlikView, a powerful business intelligence and data visualization tool.
Importing Excel Files: QlikView makes it easy to import Excel files into the platform. Data analysts can simply select the Excel file they want to import, and QlikView will automatically load the data into the platform. The data will be organized into tables, making it easy to access and analyze the data.
Refreshing Data: One of the biggest benefits of using QlikView with Excel files is the ability to refresh the data in real-time. Data analysts can easily refresh the data in their Excel files at any time, making it easy to access the most up-to-date information. This is especially important for data analysts who are working with rapidly changing data.
Working with Multiple Excel Files: QlikView allows data analysts to work with multiple Excel files at the same time. This makes it easy to combine data from different sources, making it possible to perform complex data analysis. Data analysts can also link data from multiple Excel files, making it easy to access and analyze data from different sources in a single location.
Advanced Data Analysis: In addition to importing and working with Excel files, QlikView also provides advanced data analysis tools. Data analysts can use these tools to perform complex data analysis, such as creating pivot tables, calculating running totals, and much more. With these advanced tools, data analysts can easily access and analyze the data they need to make informed decisions.
In conclusion, Excel is an essential component of many data analysis projects, and QlikView makes it easy to work with Excel files. Data analysts can import Excel files into the platform, refresh the data in real-time, work with multiple Excel files, and perform advanced data analysis. Whether you’re working with small or large datasets, QlikView provides the tools you need to access and analyze the data you need to make informed decisions.
QlikView for Data Analyst – QlikView – Excel Files
Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:
All Notebooks in One Bundle: Data Science Recipes and Examples in Python & R.
End-to-End Python Machine Learning Recipes & Examples.
End-to-End R Machine Learning Recipes & Examples.
Applied Statistics with R for Beginners and Business Professionals
Data Science and Machine Learning Projects in Python: Tabular Data Analytics
Data Science and Machine Learning Projects in R: Tabular Data Analytics
Python Machine Learning & Data Science Recipes: Learn by Coding
R Machine Learning & Data Science Recipes: Learn by Coding
Comparing Different Machine Learning Algorithms in Python for Classification (FREE)
There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $29.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.