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

Tableau is a popular data visualization tool that enables data analysts to turn raw data into meaningful insights. One of the key features of Tableau is its ability to perform calculations on data fields, which are essential for transforming data into actionable insights.

Tableau calculations can be used for a variety of purposes, such as aggregating data, creating new calculated fields, and analyzing trends and patterns. Calculations in Tableau are performed using a calculation language that is easy to learn and use.

There are several types of calculations that can be performed in Tableau, including basic arithmetic calculations, date calculations, string calculations, and numeric calculations. Basic arithmetic calculations include addition, subtraction, multiplication, and division, and can be used to perform simple mathematical operations on data fields.

Date calculations allow data analysts to manipulate date and time data and perform operations such as calculating the number of days between two dates, or the quarter of a given date. String calculations, on the other hand, allow data analysts to manipulate text data, such as concatenating two text fields or extracting a portion of a text field.

Numeric calculations are used to perform more advanced mathematical operations on data fields, such as calculating percentiles, standard deviations, and ratios. Numeric calculations can be performed on a single data field or on multiple data fields, and can be used to analyze patterns and trends in data.

To perform a calculation in Tableau, a data analyst needs to select a data field and then enter a calculation expression using the appropriate operator. Tableau provides a comprehensive list of calculations and their syntax, making it easy for data analysts to use these tools in their work.

In conclusion, Tableau calculations are a powerful tool for data analysts and play a crucial role in transforming raw data into meaningful insights. Whether you’re looking to perform basic arithmetic operations, manipulate date and time data, manipulate text data, or perform advanced mathematical operations, Tableau calculations are the perfect tool to help you achieve your goals. So, if you’re a data analyst looking to take your skills to the next level, it’s worth taking the time to learn about Tableau calculations and how they can help you make the most of your data.

# Tableau for Data Analyst – Tableau Calculation

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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!