Sep 27, 2025 · 3 min read · My Data Science Journey: Tackling Data Filtering and Visualization Hello everyone! I'm continuing my journey into the world of data science with "Python for Data Science" course, and I wanted to share my latest progress. I've just worked my way throu...
Join discussionMay 31, 2025 · 5 min read · Introduction Whether you are a beginner, a student revising old concepts or a developer brushing up on your fundamentals, understanding data structures is essential. These foundations are necessary to understand, as they give the developer the power ...
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Sep 9, 2024 · 5 min read · Pandas is a powerful and flexible library in Python for data manipulation and analysis. It is widely used in data science, machine learning, and statistical analysis due to its simple syntax and powerful functionalities. In this blog, we’ll dive deep...
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Aug 7, 2024 · 6 min read · The task involves analyzing data from a 'Vehicle Repair and Parts Sales' company, contained in this Google Drive link downloaded for analysis in SQL. The datasets in the link had the following headers: customer, vehicle, invoice, job and parts. Some ...
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Jul 10, 2024 · 1 min read · Today I earned my "Clean, transform, and load data in Power BI" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! Keep up the great work! Click to see my new achievement
Join discussionMay 6, 2024 · 1 min read · Traversing in data structures refers to the process of visiting and processing each element or node in a data structure in a systematic way. It involves accessing and examining data items to perform specific operations like searching, printing, or mo...
Join discussionMar 7, 2024 · 5 min read · Have you ever felt overwhelmed by the sheer volume of data at your fingertips? As a data analyst, you're tasked with turning raw data into actionable insights. But where do you even begin? Fear not, for Python, the versatile programming language, hol...
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Aug 23, 2023 · 2 min read · I've heard your feedback and I am thrilled to introduce the ability to apply filters to the data fields within the Data View. Whether you're dealing with text, numerical values, or dates, the app now allows you to apply filters that suit your specifi...
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Aug 15, 2023 · 6 min read · Introduction Pandas is one of the most widely used data manipulation libraries in Python, known for its ease of use and powerful functionality. However, as the data size grows, Pandas can become slow and memory-intensive. In this blog post, we will c...
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