Data Analyst

This case study is from Mekari University Data Analytics 101 course, I have gained this certificate, and there is one interesting mini exercise that I wanna showcase, So Keep Reading :) Let’s start with the Problem: I asked to help company “x” to determine which industry the ‘x’ company should…

Over the few 10–15 years we have seen a drastic change in weather department that might be because of global warming cause. So in this article I am going to describe the overall survey on weather data that is available here that I have performed to observe the difference between…

Sample pic of handwritten digits In this blog, I will discuss about how we can analyse and recognize handwritten digits by using scikit-learn library of python. Although there are many ways by which we can use techniques to identify these handwritten digits for e.g, CNN, openCV, etc, in handwritten documents. …

A list of last minute Power BI questions to go through before interview — What kind of transformations have you done in your project? There are many transformations in query editor like text transformation, date transformation, number transformations, conditional formatting, changing data types How many data sources Power Bi supports? It supports up to 99 data sources and from them I have used csv…

Twitter Data Analysis — “WeRateDogs” A Blog about Everything Data “In God we trust, all others must bring Data” — W. Edwards Deming A data-driven data wrangler knows the importance of working with the right and complete data. …

Here I am trying to learn python for data analysis and sitting here with so many questions about the python data structures and when to use what. But to know that, first we need to know what is what. (Also keep in mind that memorizing the properties of the data…

For the data wrangling project on Udacity Data Analyst Nanodegree, we are given the chance to go through a data analysis process after completing a course. This is the second which focuses on the data wrangling process which includes; data gathering, data assessment, and data cleaning. In this project, we…

I recently applied for jobs in the Data Science space, and while the titles and descriptions were different, the skillsets and responsibilities were the same. Sometimes it’s the other way around. I decided to pin down similarities, differences, and transitions between roles without creating too much confusion. Not just newcomers…

Data science is one of the fastest growing careers of the 21st century. Every industry has pressing questions answered by Big Data, from businesses to non-profit organizations to government institutions. There is a seemingly-infinite amount of information that can be sorted, interpreted, and applied for a wide range of purposes. …