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Data science is a multidisciplinary field that uses a combination of statistics, computer science, and domain-specific knowledge to extract meaningful insights and knowledge from data. The main goal of data science is to transform raw data into actionable insights, predictions, and decisions. Here's a breakdown of what data science involves:

1. Data Collection & Acquisition
What it involves: Gathering data from various sources like databases, web scraping, IoT sensors, APIs, surveys, or existing datasets.
Purpose: To have relevant and sufficient data to work with, which is essential for building models and making decisions.
2. Data Cleaning & Preprocessing
What it involves: Preparing the data for analysis by handling missing values, removing outliers, correcting errors, and transforming data into a usable format.

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SAP, which stands for Systems, Applications, and Products in Data Processing, is a software system used by businesses to manage their operations and streamline their processes. It is an enterprise resource planning (ERP) system that integrates various functions such as finance, human resources, procurement, production, sales, and logistics into a single system.

SAP consulting involves working with businesses to optimize their use of SAP software. SAP consultants are experts in configuring, customizing, and implementing SAP solutions to meet the specific needs of a business. They work closely with the business to understand its requirements and identify areas where SAP can be used to improve efficiency, reduce costs, and increase productivity.
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