Welcome to my world of data analysis! 馃寧 As an aspiring data analyst, I'm passionate about exploring complex data sets to uncover insights that drive business decisions. With proficiency in Python, Statistics, and SQL, I'm skilled in data cleaning, visualization, and analysis. I believe that data is a powerful tool for businesses to gain a competitive edge and make a positive impact in the world. When I'm not analyzing data, you can find me watching Netflix or listening to music. Let's connect and geek out over data! 馃馃攳
Aspiring data analyst and open to new job opportunities! 馃搱 Proficient in Python, stats, SQL for data cleaning, visualization, and analysis.
Oct 29, 2023 路 4 min read 路 Introduction When it comes to Data Science, Pandas is the go-to library. If you are a Data Nerd, Pandas is something you should be using every day. Pandas is a powerful data analysis library for Python. It is used for data manipulation, data cleaning...
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Oct 25, 2023 路 4 min read 路 鉃★笍 What is Seaborn? Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for creating informative and attractive statistical graphics. Seaborn is a good choice for visualizing complex datasets effo...
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Oct 19, 2023 路 6 min read 路 鉃★笍 What is Matplotlib? Matplotlib is a widely used Python library for creating high-quality, publication-ready 2D plots and graphs. It provides a complete set of tools for generating various types of charts, such as line plots, scatter plots, bar c...
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Oct 15, 2023 路 5 min read 路 鉃★笍 What is the Central Limit Theorem(CLT)? The Central Limit Theorem is a fundamental concept in statistics. It states that the sample mean of the sampling distribution approaches a Normal Distribution regardless of the shape of the population dist...
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Oct 11, 2023 路 7 min read 路 鉃★笍 Introduction Have you ever wondered why some websites and applications respond so quickly to your searches while others make you wait so long? The answer lies in indexing, a powerful tool that can supercharge your database performance. In this art...
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