QlikView for Data Analyst – QlikView Starter Guide – Part 01

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

QlikView is a powerful business intelligence and data visualization tool that is widely used by data analysts around the world. It provides a user-friendly interface that enables data analysts to access, analyze, and present data in a clear and effective manner. With QlikView, data analysts can quickly uncover valuable insights and make informed decisions based on their findings.

Here’s a brief introduction to QlikView and its key features:

Data Integration: QlikView can integrate data from a wide variety of sources, including databases, spreadsheets, and cloud-based platforms. This makes it easy for data analysts to access all of their data in one place, without having to manually import data from multiple sources.

Data Analysis: QlikView provides a wide range of data analysis tools, including interactive dashboards, pivot tables, and drill-down capabilities. With these tools, data analysts can easily explore their data, identify trends, and make informed decisions based on their findings.

Data Visualization: QlikView’s intuitive data visualization features make it easy for data analysts to present their findings in a clear and effective manner. With a wide range of charts, graphs, and maps, data analysts can communicate their insights to stakeholders in a way that is easy to understand.

Collaboration: QlikView provides a collaborative platform that enables data analysts to share their findings with others, either within their organization or with external stakeholders. With QlikView, data analysts can work together to uncover new insights and make better decisions.

In conclusion, QlikView is a powerful tool for data analysts who are looking to access, analyze, and present data in a clear and effective manner. Whether you’re working with large amounts of data or just a small dataset, QlikView provides a wide range of data analysis and visualization tools that will help you uncover valuable insights and make informed decisions based on your findings.

QlikView for Data Analyst – QlikView Starter Guide – Part 01

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

Download PDF [887.37 KB]

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!