As a data analyst, one of the most time-consuming yet crucial part of the workflow is Data Wrangling — preparing messy, real-world data for analysis. In this blog article, let us understand the key stages involved: Data Exploration It all starts with data exploration, to ensure that we can carry out the right approach towards …
In today’s data-driven world, organizations are collecting and analyzing more information than ever before. The sheer volume and complexity of data generated every second is staggering, be it user behavior, financial transactions, social media interactions or IoT sensor data. Big Data has been there for for than a decade, however, this surge in the sheer …
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In one of my previous articles on Data Repositories, we discussed in brief about Data Marts, Data Lakes and Data Warehouses. Based on the feedback from some of you, in this article, I am focusing specifically on the difference between Data Marts, Data Lakes and Data Warehouses. You can view a presentation video in my …
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Let’s explore the languages and frameworks commonly used in data analytics & Machine Learning: For a short video presentation, click here. Let’s start with the most commonly used language… Python. PYTHON: Python is a popular programming language for data analytics. It has an intuitive syntax, a large number of resources, and extensive libraries for data …
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Let’s understand the practical significance of structured, unstructured, and semi-structured data in the realm of data analytics. To view the short presentation video, click here. Structured Data:Structured data refers to information that is organized into a well-defined format. Structured data is typically stored in relational databases (RDBMS), where it follows a tabular structure with rows …
Click on this link for a visual presentation. For a detailed explanation, follow the blog below… The Key areas where data ecosystem is currently useful are: Financial Transaction Monitoring Systems & Financial Fraud Detection: These systems continuously track financial transactions for unauthorized activities or access to sensitive information. Detecting online fraud is of utmost importance …
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