Tableau Prep

1. Visual Data Preparation: Intuitive drag-and-drop interface for preparing and cleaning data visually.
2. Data Connection: Connects to various data sources for importing data.
3. Data Profiling: Automatically identifies data quality issues.
4. Data Cleaning: Tools for cleaning and standardizing data.

Before learning Tableau Prep, it's beneficial to have the following skills:

1. Data Literacy: Understanding of basic data concepts such as data types, structures, and relationships.
2. Data Analysis: Familiarity with data analysis techniques and methodologies.
3. Data Cleaning: Knowledge of common data cleaning tasks such as handling missing values, outliers, and duplicates.
4. Basic Statistics: Understanding of basic statistical concepts such as mean, median, and standard deviation.

By learning Tableau Prep, you gain the following skills:

1. Data Preparation: Ability to prepare and clean data efficiently using Tableau Prep's visual interface.
2. Data Profiling: Proficiency in identifying data quality issues and anomalies within datasets.
3. Data Cleaning: Skills to clean and standardize data by handling missing values, outliers, and duplicates.
4. Data Transformation: Capability to reshape and pivot data to meet analysis requirements.