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Data Science plays a critical role in the eCommerce industry. eCommerce companies generate vast amounts of data from their customers, products, sales, and operations. Data Science techniques can be used

Data analytics is the process of analyzing and interpreting data to extract meaningful insights and inform decision-making. It involves using statistical and computational techniques to explore, transform, and model data,

There are several types of analytics, each with its own unique approach and purpose. Here are some of the most common types of analytics: Analytics can be used in various

Data visualization is the graphical representation of data and information. It involves creating visual representations of numerical or categorical data in order to identify patterns, relationships, and trends. Data visualization

SQL is a critical tool for data scientists and analysts because it allows them to work with relational and no SQL databases, which are widely used to store and manage

Support Vector Machines (SVMs) are a type of machine learning algorithm that is commonly used for classification and regression analysis tasks. In a classification problem, SVMs attempt to find a

Logistic regression is a statistical method used for analyzing a dataset in which there are one or more independent variables that determine an outcome. It is a type of regression

Transitioning to a career in data science can seem like a daunting task, but with the right approach and mindset, it is achievable. Here are some steps that can help