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

QlikView is a data analytics tool used by data analysts to visualize and analyze data. It helps in making data-driven decisions by providing interactive dashboards, reports, and charts. One of the most important features of QlikView is the “Rank Function.” This function is used to rank data based on certain criteria.

The Rank Function is a way to arrange data in a particular order, for example, in ascending or descending order. This can help data analysts see trends and patterns in the data, and make informed decisions based on the results. The rank function allows users to quickly sort data based on specific columns, or a combination of columns.

For example, if a data analyst wanted to see which salesperson has the most sales, they can use the Rank Function to rank the sales data based on the total sales of each salesperson. This will give them a clear understanding of the top performers and help them make decisions on how to allocate resources to maximize sales.

Another example is if a data analyst wanted to see which product has the most sales, they can use the Rank Function to rank the sales data based on the total sales of each product. This will give them a clear understanding of the most popular products and help them make decisions on how to allocate resources to improve sales.

It is important to note that the Rank Function can be used in conjunction with other functions in QlikView, such as the Sum, Count, and Average functions. This allows data analysts to get a more in-depth understanding of the data and make informed decisions based on the results.

In conclusion, the Rank Function is a valuable tool for data analysts using QlikView. It provides a quick and easy way to rank data based on specific criteria, and helps data analysts make informed decisions based on the results. Whether you’re analyzing sales data or product data, the Rank Function can provide valuable insights into your data, and help you make data-driven decisions.

# QlikView for Data Analyst – QlikView – Rank Function

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# 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

# 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.
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`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!