Data Analysis

I started my journey to learn Python and Data Analysis using Pandas and other Python libraries in 2022. Due to its clean syntax and shorter learning curve Python has become one of the most popular Programming Language which is now widely used in Machine Learning, AI and Data Analytics. Here’s a list of all the important resources to learn Python and Data Analysis. — DataCamp My first stop was at DataCamp and I am still using it. It covers variety of topics/skills/tracks in a very detailed manner. Over the years it has evolved with introduction of WorkSpace which provides Jupyter Notebook like interface to perform EDA, Data Visualization etc.

Welcome to the first part in our three-part series, designed to serve as a tutorial for data analysts. Each article in this series covers the fundamentals of working with data, empowering you to create and implement your own solutions: Part 1: Crafting the Data Foundation — Data Selection and Preparation. In…

Pivot tables are such a beautiful way to view aggregate data quickly. Microsoft Excel has been the traditional tool for pivot tables; in recent years, Google Sheets joined the game. Whether you use Excel or Sheets, there is always a common denominator. Usually, two to three columns in the underlying…

It may be inevitable for one to come across a dataset containing missing values when dealing with data. Missing data can be tricky to decide how to handle it adequately. This is mostly because how you handle the data will affect the visualizations obtained from the dataset and also the…

In today’s world, where data is growing at an unprecedented rate, it’s important to know how to work with different data formats to extract insights and derive meaningful information. One such data format is JSON (JavaScript Object Notation), which is a lightweight data-interchange format widely used for exchanging data between…

What does supervised & unsupervised machine learning mean? Supervised & Unsupervised Machine Learning: These are the types of machine learning 😎 In supervised machine learning, the algorithm needs supervision while it is learning, by feeding it with the information to help it learn. They are trained on a labeled dataset, where the desired output is…

Background This article is sort of a continuation or tangent off of my previous article about exploratory data analysis of stocks using python. In that article we used Yahoo Finance, Plotly, Pandas, and NumPy to perform an exploratory data analysis of a group of stocks. We plotted and compared various characteristics…

As part of the Advanced Corpus Linguistics project, we have built a corpus of lyrics from different musical genres and analyzed the themes, the patterns of language usage and linguistics features from the most popular songs (top charting songs) within those genres over the past decades. Table of Contents Data Collection Corpus Description …